Neven Šumonja

684 total citations
7 papers, 106 citations indexed

About

Neven Šumonja is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Neven Šumonja has authored 7 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Computational Theory and Mathematics. Recurrent topics in Neven Šumonja's work include Bioinformatics and Genomic Networks (4 papers), Machine Learning in Bioinformatics (3 papers) and Protein Structure and Dynamics (2 papers). Neven Šumonja is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Machine Learning in Bioinformatics (3 papers) and Protein Structure and Dynamics (2 papers). Neven Šumonja collaborates with scholars based in Serbia, Belgium and Austria. Neven Šumonja's co-authors include Vladimir Perović, Nevena Veljković, Branislava Gemović, Stefan G. E. Roberts, Branka Vasiljević, Jasmina Nikodinović‐Runić, Dušan Milivojević, Ivana Morić, Aleksandar Pavić and Lidija Šenerović and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Neven Šumonja

6 papers receiving 105 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neven Šumonja Serbia	5	86	15	11	10	8	7	106
Brian Kang United States	4	106 1.2×	9 0.6×	16 1.5×	9 0.9×	6 0.8×	6	164
Wiebke Ewert Germany	5	80 0.9×	14 0.9×	15 1.4×	8 0.8×	6 0.8×	7	104
Srajan Kapoor India	7	89 1.0×	7 0.5×	8 0.7×	5 0.5×	8 1.0×	11	128
Adegoke A. Ojewole United States	7	80 0.9×	28 1.9×	8 0.7×	4 0.4×	11 1.4×	7	120
Hsuan-Lin Her United States	8	172 2.0×	8 0.5×	30 2.7×	6 0.6×	4 0.5×	12	231
Branislava Gemović Serbia	8	72 0.8×	17 1.1×		7 0.7×	8 1.0×	15	116
Yuliana A. Mokrushina Russia	8	84 1.0×	14 0.9×	3 0.3×	17 1.7×	10 1.3×	28	144
Simona Povilonienė Lithuania	4	190 2.2×	25 1.7×	3 0.3×	9 0.9×	26 3.3×	7	238
Lisa McWilliams United Kingdom	6	101 1.2×	32 2.1×	45 4.1×	9 0.9×	12 1.5×	10	188
Manuela Pruess United Kingdom	5	147 1.7×	11 0.7×	2 0.2×	3 0.3×	5 0.6×	7	163

Countries citing papers authored by Neven Šumonja

Since Specialization

Citations

This map shows the geographic impact of Neven Šumonja'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 Neven Šumonja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neven Šumonja more than expected).

Fields of papers citing papers by Neven Šumonja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neven Šumonja. 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 Neven Šumonja. The network helps show where Neven Šumonja may publish in the future.

Co-authorship network of co-authors of Neven Šumonja

This figure shows the co-authorship network connecting the top 25 collaborators of Neven Šumonja. A scholar is included among the top collaborators of Neven Šumonja 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 Neven Šumonja. Neven Šumonja 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:

7 of 7 papers shown

1.

Perović, Vladimir, Jérémy Leclercq, Neven Šumonja, et al.. (2020). Tally-2.0: upgraded validator of tandem repeat detection in protein sequences. Bioinformatics. 36(10). 3260–3262. 2 indexed citations

2.

Šumonja, Neven, Branislava Gemović, Nevena Veljković, & Vladimir Perović. (2019). Automated feature engineering improves prediction of protein–protein interactions. Amino Acids. 51(8). 1187–1200. 17 indexed citations

3.

Milivojević, Dušan, Neven Šumonja, Aleksandar Pavić, et al.. (2018). Biofilm-forming ability and infection potential of Pseudomonas aeruginosa strains isolated from animals and humans. Pathogens and Disease. 76(4). 38 indexed citations

4.

Perović, Vladimir, Neven Šumonja, Sandro Radovanović, et al.. (2018). IDPpi: Protein-Protein Interaction Analyses of Human Intrinsically Disordered Proteins. Scientific Reports. 8(1). 10563–10563. 25 indexed citations

5.

Gemović, Branislava, Neven Šumonja, Radoslav Davidović, Vladimir Perović, & Nevena Veljković. (2018). Mapping of Protein-Protein Interactions: Web-Based Resources for Revealing Interactomes. Current Medicinal Chemistry. 26(21). 3890–3910. 11 indexed citations

6.

Perović, Vladimir, Neven Šumonja, Branislava Gemović, et al.. (2016). TRI_tool: a web-tool for prediction of protein–protein interactions in human transcriptional regulation. Bioinformatics. 33(2). 289–291. 13 indexed citations

7.

Glišić, Sanja, Vladimir Perović, Neven Šumonja, et al.. (2016). Role of genetic markers in sport and recreational physical activity. SHILAP Revista de lepidopterología. 70(1). 5–13.

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.

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