William S. Modi
- Molecular Biology top 5%
- Genetics top 2%
- Immunology top 5%
- Oncology top 5%
- Plant Science top 5%
- Co-authors
- Stephen J. O’BrienNaoya YuhkiJose V. LopezRyuichi MasudaWarren J. LeonardGeorge A. RiccaMichael JayeWilliam N. Drohan
- Topics
- Chromosomal and Genetic Variations (13 papers)Immune Cell Function and Interaction (9 papers)Genetic Mapping and Diversity in Plants and Animals (7 papers)
- Cited by
- VirologyImmunologyGenetics
- Partner nations
- United StatesGreeceRussia
In The Last Decade
William S. Modi
65 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 1.7k
- Genetics 1.0k
- Immunology 863
- Oncology 656
- Plant Science 388
Countries citing papers authored by William S. Modi
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
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-authorship network of co-authors of William S. Modi
This figure shows the co-authorship network connecting the top 25 collaborators of William S. Modi. A scholar is included among the top collaborators of William S. Modi 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 William S. Modi. William S. Modi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 105 | |
| 2 | 5 | |
| 3 | Genomic resources and tools to investigate factors associated with chondrodystrophy in California condors | 1 |
| 4 | 19 | |
| 5 | 18 | |
| 6 | 63 | |
| 7 | 25 | |
| 8 | 153 | |
| 9 | 15 | |
| 10 | 20 | |
| 11 | 17 | |
| 12 | 21 | |
| 13 | 43 | |
| 14 | 15 | |
| 15 | 41 | |
| 16 | 25 | |
| 17 | 37 | |
| 18 | Chromosomal banding comparisons among American and European Red-backed mice, genus clethrionomys | 15 |
| 19 | 27 | |
| 20 | Systematic implications of chromosomal banding analyses of populations of Peromyscus truei lRodentiac Muridaer | 10 |
About William S. Modi
William S. Modi is a scholar working on Virology, Immunology and Allergy and Genetics, having authored 65 papers that have together received 3.7k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (13 papers), Immune Cell Function and Interaction (9 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). The work is most often cited by research in Virology (235 citations), Immunology (863 citations) and Genetics (1.0k citations). William S. Modi has collaborated with scholars based in United States, Greece and Russia. Frequent co-authors include Stephen J. O’Brien, Naoya Yuhki, Jose V. Lopez, Stephen J. O’Brien, Ryuichi Masuda, Warren J. Leonard, George A. Ricca, Michael Jaye, William N. Drohan and Mark W. Ravera. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.