Selvakumar Kamatchinathan

9.0k total citations · 2 hit papers
5 papers, 4.3k citations indexed

About

Selvakumar Kamatchinathan is a scholar working on Molecular Biology, Information Systems and Management and Spectroscopy. According to data from OpenAlex, Selvakumar Kamatchinathan has authored 5 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Information Systems and Management and 2 papers in Spectroscopy. Recurrent topics in Selvakumar Kamatchinathan's work include Advanced Proteomics Techniques and Applications (2 papers), Genomics and Phylogenetic Studies (2 papers) and Scientific Computing and Data Management (2 papers). Selvakumar Kamatchinathan is often cited by papers focused on Advanced Proteomics Techniques and Applications (2 papers), Genomics and Phylogenetic Studies (2 papers) and Scientific Computing and Data Management (2 papers). Selvakumar Kamatchinathan collaborates with scholars based in United Kingdom, United States and Germany. Selvakumar Kamatchinathan's co-authors include Juan Antonio Vizcaíno, Chakradhar Bandla, Deepti J Kundu, Yasset Pérez‐Riverol, Ananth Prakash, Jingwen Bai, Shengbo Wang, Mathias Walzer, Suresh Hewapathirana and David García‐Seisdedos and has published in prestigious journals such as Nucleic Acids Research, PROTEOMICS and The Journal of Open Source Software.

In The Last Decade

Selvakumar Kamatchinathan

3 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences

2021 3.9k citations Yasset Pérez‐Riverol, Jingwen Bai et al. Nucleic Acids Research profile →
The PRIDE database at 20 years: 2025 update

2024 375 citations Yasset Pérez‐Riverol, Chakradhar Bandla et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Selvakumar Kamatchinathan United Kingdom	3	2.7k	472	451	413	358	5	4.3k
Suresh Hewapathirana United Kingdom	2	2.7k 1.0×	472 1.0×	451 1.0×	412 1.0×	358 1.0×	6	4.3k
Chakradhar Bandla United Kingdom	4	2.7k 1.0×	472 1.0×	451 1.0×	417 1.0×	358 1.0×	6	4.3k
Shengbo Wang United Kingdom	5	2.7k 1.0×	472 1.0×	454 1.0×	430 1.0×	358 1.0×	6	4.3k
Deepti J Kundu United Kingdom	6	2.7k 1.0×	473 1.0×	456 1.0×	452 1.1×	362 1.0×	9	4.4k
David García‐Seisdedos Spain	10	2.6k 1.0×	441 0.9×	439 1.0×	431 1.0×	379 1.1×	16	4.2k
Jingwen Bai China	5	2.7k 1.0×	472 1.0×	451 1.0×	416 1.0×	358 1.0×	6	4.4k
Ananth Prakash United Kingdom	11	3.2k 1.2×	495 1.0×	480 1.1×	477 1.2×	371 1.0×	18	4.9k
Mathias Walzer Germany	13	3.2k 1.2×	518 1.1×	467 1.0×	796 1.9×	395 1.1×	20	4.9k
Tobias Ternent United Kingdom	8	2.6k 1.0×	369 0.8×	359 0.8×	731 1.8×	270 0.8×	9	3.9k
Noemí del‐Toro United Kingdom	13	2.5k 0.9×	333 0.7×	327 0.7×	641 1.6×	230 0.6×	17	3.7k

Countries citing papers authored by Selvakumar Kamatchinathan

Since Specialization

Citations

This map shows the geographic impact of Selvakumar Kamatchinathan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Selvakumar Kamatchinathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Selvakumar Kamatchinathan more than expected).

Fields of papers citing papers by Selvakumar Kamatchinathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Selvakumar Kamatchinathan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Selvakumar Kamatchinathan. The network helps show where Selvakumar Kamatchinathan may publish in the future.

Co-authorship network of co-authors of Selvakumar Kamatchinathan

This figure shows the co-authorship network connecting the top 25 collaborators of Selvakumar Kamatchinathan. A scholar is included among the top collaborators of Selvakumar Kamatchinathan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Selvakumar Kamatchinathan. Selvakumar Kamatchinathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Kamatchinathan, Selvakumar, et al.. (2025). pridepy: A Python package to download and search data from PRIDE database. The Journal of Open Source Software. 10(107). 7563–7563.

2.

Deutsch, Eric W., Nuno Bandeira, Yasset Pérez‐Riverol, et al.. (2025). The ProteomeXchange consortium in 2026: making proteomics data FAIR. Nucleic Acids Research. 54(D1). D459–D469.

3.

Pérez‐Riverol, Yasset, Chakradhar Bandla, Deepti J Kundu, et al.. (2024). The PRIDE database at 20 years: 2025 update. Nucleic Acids Research. 53(D1). D543–D553. 375 indexed citations breakdown →

4.

Kamatchinathan, Selvakumar, et al.. (2024). Open‐source large language models in action: A bioinformatics chatbot for PRIDE database. PROTEOMICS. 24(21-22). e2400005–e2400005. 8 indexed citations

5.

Pérez‐Riverol, Yasset, Jingwen Bai, Chakradhar Bandla, et al.. (2021). The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences. Nucleic Acids Research. 50(D1). D543–D552. 3918 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact