Suman Sirimulla

65 total papers · 1.5k total citations
23 papers, 1.1k citations indexed

About

Suman Sirimulla is a scholar working on Computational Theory and Mathematics, Molecular Biology and Physical and Theoretical Chemistry. According to data from OpenAlex, Suman Sirimulla has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 6 papers in Molecular Biology and 5 papers in Physical and Theoretical Chemistry. Recurrent topics in Suman Sirimulla's work include Computational Drug Discovery Methods (7 papers), Crystallography and molecular interactions (4 papers) and Receptor Mechanisms and Signaling (3 papers). Suman Sirimulla is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Crystallography and molecular interactions (4 papers) and Receptor Mechanisms and Signaling (3 papers). Suman Sirimulla collaborates with scholars based in United States, Denmark and Sweden. Suman Sirimulla's co-authors include Mahesh Narayan, Jake Bailey, Rahulsimham Vegesna, Gabriela Henrı́quez, Richard G. Posner, F. Fratev, Giovanni Bocci, Jayme Holmes, Jeremy J. Yang and Tudor I. Oprea and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Cancer Research.

In The Last Decade

Suman Sirimulla

22 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Suman Sirimulla	491	248	209	204	124	23	1.1k
Matthias Urmann	321 0.7×	142 0.6×	193 0.9×	390 1.9×	107 0.9×	23	936
Xiaoming Luo	315 0.6×	128 0.5×	348 1.7×	198 1.0×	136 1.1×	25	954
Klaus‐Jürgen Schaper	289 0.6×	200 0.8×	109 0.5×	459 2.3×	146 1.2×	43	948
Alexander Alex	643 1.3×	425 1.7×	91 0.4×	229 1.1×	148 1.2×	29	1.0k
Joachim Diez	432 0.9×	104 0.4×	366 1.8×	245 1.2×	195 1.6×	14	1.1k
Dan C. Fara	302 0.6×	466 1.9×	194 0.9×	416 2.0×	235 1.9×	25	1.2k
Zhaoqiang Chen	330 0.7×	88 0.4×	123 0.6×	470 2.3×	104 0.8×	34	1.1k
P. Y. C. JOW	326 0.7×	234 0.9×	54 0.3×	315 1.5×	106 0.9×	15	949
Wolfgang Sauer	517 1.1×	246 1.0×	61 0.3×	550 2.7×	81 0.7×	34	1.1k
Zhengdan Zhu	266 0.5×	135 0.5×	158 0.8×	262 1.3×	94 0.8×	34	831

Countries citing papers authored by Suman Sirimulla

Since Specialization

Citations

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

Fields of papers citing papers by Suman Sirimulla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suman Sirimulla

This figure shows the co-authorship network connecting the top 25 collaborators of Suman Sirimulla. A scholar is included among the top collaborators of Suman Sirimulla 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 Suman Sirimulla. Suman Sirimulla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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