diff --git a/README.md b/README.md
index f3895de4..f84eef86 100644
--- a/README.md
+++ b/README.md
@@ -12,7 +12,7 @@ Ligand-binding site prediction based on machine learning.
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 [![License: MIT](http://img.shields.io/badge/license-MIT-blue.svg?style=flat)](/LICENSE.txt)
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 ### Description
 
@@ -59,12 +59,12 @@ Presentation slides introducing the original version of the algorithm: [Slides (
 
 ### Publications
 
-If you use P2Rank, please cite relevant papers:
+If you use P2Rank, please cite relevant papers: <a href="/misc/citations.md" title="go to the BibTex citations"><img align="right" src="https://img.shields.io/badge/BibTeX-ddd"></img></a>
 
 * [Software article](https://doi.org/10.1186/s13321-018-0285-8) about P2Rank pocket prediction tool  
- Krivak R, Hoksza D. ***P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure.*** Journal of Cheminformatics. 2018 Aug.
+ Krivak R, Hoksza D. ***P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure.*** Journal of Cheminformatics. 2018 Aug.  
 * [A new web-server article](https://doi.org/10.1093/nar/gkac389) about updates in the web interface [prankweb.cz](https://prankweb.cz)  
- Jakubec D, Skoda P, Krivak R, Novotny M, Hoksza D. ***PrankWeb 3: accelerated ligand-binding site predictions for experimental and modelled protein structures.*** Nucleic Acids Research, Volume 50, Issue W1, 5 July 2022, Pages W593–W597
+ Jakubec D, Skoda P, Krivak R, Novotny M, Hoksza D. ***PrankWeb 3: accelerated ligand-binding site predictions for experimental and modelled protein structures.*** Nucleic Acids Research, Volume 50, Issue W1, 5 July 2022, Pages W593–W597  
 * [Web-server article](https://doi.org/10.1093/nar/gkz424) introducing the web interface at [prankweb.cz](https://prankweb.cz)  
  Jendele L, Krivak R, Skoda P, Novotny M, Hoksza D. ***PrankWeb: a web server for ligand binding site prediction and visualization.*** Nucleic Acids Research, Volume 47, Issue W1, 02 July 2019, Pages W345-W349 
 * [Conference paper](https://doi.org/10.1007/978-3-319-21233-3_4) introducing P2Rank prediction algorithm  
@@ -73,6 +73,7 @@ If you use P2Rank, please cite relevant papers:
  Krivak R, Hoksza D. ***Improving protein-ligand binding site prediction accuracy by classification of inner pocket points using local features.*** Journal of Cheminformatics. 2015 Dec.
 
 
+
 👨‍💻 Usage Examples
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