Matthew J. Gorman
- Public Health, Environmental and Occupational Health top 1%
- Infectious Diseases top 1%
- Epidemiology top 5%
- Molecular Biology
- Immunology top 10%
- Co-authors
- Michael DiamondEstefanı́a FernándezJennifer GoveroDerek J. PlattJustin M. RichnerTheodore C. PiersonKimberly A. DowdSubhajit Poddar
- Topics
- Mosquito-borne diseases and control (11 papers)Viral Infections and Vectors (9 papers)HIV Research and Treatment (6 papers)
- Journals
- NatureCellNature Medicine
- Partner nations
- United StatesBrazilChina
In The Last Decade
Matthew J. Gorman
25 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Public Health, Environmental and Occupational Health 1.3k
- Infectious Diseases 1.3k
- Epidemiology 534
- Molecular Biology 417
- Immunology 400
Countries citing papers authored by Matthew J. Gorman
This map shows the geographic impact of Matthew J. Gorman'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 Matthew J. Gorman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Gorman more than expected).
Fields of papers citing papers by Matthew J. Gorman
This network shows the impact of papers produced by Matthew J. Gorman. 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 Matthew J. Gorman. The network helps show where Matthew J. Gorman may publish in the future.
Co-authorship network of co-authors of Matthew J. Gorman
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Gorman. A scholar is included among the top collaborators of Matthew J. Gorman 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 Matthew J. Gorman. Matthew J. Gorman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 86 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 66 | |
| 9 | 38 | |
| 10 | 91 | |
| 11 | 193 | |
| 12 | 110 | |
| 13 | 167 | |
| 14 | 72 | |
| 15 | 280 | |
| 16 | Zika virus infection damages the testes in micebreakdown → | 381 |
| 17 | 287 | |
| 18 | 114 | |
| 19 | 57 | |
| 20 | 12 |
About Matthew J. Gorman
Matthew J. Gorman is a scholar working on Virology, Infectious Diseases and Business and International Management, having authored 26 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (11 papers), Viral Infections and Vectors (9 papers) and HIV Research and Treatment (6 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Public Health, Environmental and Occupational Health (1.3k citations) and Virology (126 citations). Matthew J. Gorman has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Michael Diamond, Estefanı́a Fernández, Jennifer Govero, Derek J. Platt, Justin M. Richner, Theodore C. Pierson, Kimberly A. Dowd, Subhajit Poddar, Sujan Shresta and Annie Elong Ngono. Their work appears in journals such as Nature, Cell and Nature Medicine.
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.