William S. Modi

8.6k citations
65 papers · 3.8k · 1 hit paper · h-index 31

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 7
    • Genetic diversity and population structure 7

William S. Modi

65 papers receiving 3.6k citations

William S. Modi's Hit Papers

Human Endothelial Cell Growth Factor: Cloning, Nucleotide Sequence, and Chromosome Localization 1986 · 586 citations
5860+13+26Years since publication100200300400500

Peers

William S. Modi
Comparison fields: 5 of 118
  • Virology 213
  • Immunology 784
  • Genetics 961
  • Immunology and Allergy 153
  • Oncology 624
Replace Naoya Yuhki with:
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William S. Modi relative to Naoya Yuhki United States Naoya Yuhki's profile →
Citations per field
00.5×1.5×2.5×
Naoya Yuhki · 1×
Citations per year

Countries citing papers authored by William S. Modi

Since Specialization
Citations

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

Fields of papers citing papers by William S. Modi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William S. Modi. 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 William S. Modi. The network helps show where William S. Modi may publish in the future.

Co-authors

The 25 scholars most cited alongside William S. Modi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William S. Modi Line = papers co-authored together William S. Modi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human Endothelial Cell Growth Factor: Cloning, Nucleotide Sequence, and Chromosome Localization
Hit paper breakdown →
1986586
2 1994495
3 1996252
4 1997194
5 1996182
6 2002152
7 2009107
8 198799
9 199677
10 198671
11 199470
12 200767
13 199164
14 200363
15 199661
16 200654
17 199850
18 198747
19 199643
20 200541

About William S. Modi

William S. Modi is a scholar working on Genetics, Molecular Biology, Immunology, Plant Science and Oncology, having authored 65 papers that have together received 3.8k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (12 papers), Immune Cell Function and Interaction (8 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetic diversity and population structure (7 papers), Cell Adhesion Molecules Research (6 papers), T-cell and B-cell Immunology (5 papers), Chemokine receptors and signaling (5 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). The work is most often cited by research in Virology (213 citations), Immunology (784 citations), Genetics (961 citations), Immunology and Allergy (153 citations) and Oncology (624 citations). William S. Modi has collaborated with scholars based in United States, Russia and Greece. Frequent co-authors include Stephen J. O’Brien, Naoya Yuhki, Ryuichi Masuda, Jose V. Lopez, Stephen J. O’Brien, Warren J. Leonard, George A. Ricca, William N. Drohan, Michael Jaye and R. Howk. Their work appears in journals such as Genomics, Evolution, Journal of Molecular Evolution, DNA and Cell Biology and Chromosome Research.

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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