Stephen C. DeRosa

19 total papers · 620 total citations
11 papers, 363 citations indexed

About

Stephen C. DeRosa is a scholar working on Virology, Epidemiology and Molecular Biology. According to data from OpenAlex, Stephen C. DeRosa has authored 11 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Virology, 5 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Stephen C. DeRosa's work include HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (3 papers) and Virus-based gene therapy research (3 papers). Stephen C. DeRosa is often cited by papers focused on HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (3 papers) and Virus-based gene therapy research (3 papers). Stephen C. DeRosa collaborates with scholars based in United States, South Africa and Switzerland. Stephen C. DeRosa's co-authors include Georgia D. Tomaras, David C. Montefiori, Christopher W. Peterson, Patricia Polacino, Hans‐Peter Kiem, William A. Blattner, Shiu-Lok Hu, Olivier Defawe, Patrick Younan and John Hural and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Stephen C. DeRosa

11 papers receiving 357 citations

Author Peers

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

Author						Papers	Cites
Stephen C. DeRosa	193	164	154	104	87	11	363
François-Xavier Gobert	139 0.7×	101 0.6×	228 1.5×	59 0.6×	60 0.7×	9	371
M. V. Fernandes	133 0.7×	82 0.5×	75 0.5×	92 0.9×	87 1.0×	17	368
J F Zagury	229 1.2×	82 0.5×	153 1.0×	73 0.7×	80 0.9×	9	325
Célia Chamontin	145 0.8×	198 1.2×	99 0.6×	47 0.5×	70 0.8×	17	326
Gaël Vidricaire	118 0.6×	139 0.8×	66 0.4×	63 0.6×	75 0.9×	8	355
Romnie Long	151 0.8×	107 0.7×	150 1.0×	95 0.9×	62 0.7×	11	306
Martin J. Deymier	141 0.7×	108 0.7×	137 0.9×	150 1.4×	114 1.3×	15	385
Venkatramanan Mohanram	210 1.1×	87 0.5×	228 1.5×	65 0.6×	61 0.7×	17	355
Justin Taft	89 0.5×	122 0.7×	154 1.0×	44 0.4×	113 1.3×	11	334
Hwijin Kim	119 0.6×	99 0.6×	134 0.9×	30 0.3×	83 1.0×	11	328

Countries citing papers authored by Stephen C. DeRosa

Since Specialization

Citations

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

Fields of papers citing papers by Stephen C. DeRosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen C. DeRosa. 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 Stephen C. DeRosa. The network helps show where Stephen C. DeRosa may publish in the future.

Co-authorship network of co-authors of Stephen C. DeRosa

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen C. DeRosa. A scholar is included among the top collaborators of Stephen C. DeRosa 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 Stephen C. DeRosa. Stephen C. DeRosa 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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