Jack da Silva
Impact in
Papers in
- Genetics 23
- Evolution and Genetic Dynamics 12
- Insect and Arachnid Ecology and Behavior 7
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- Plant and animal studies 11
- Animal Behavior and Reproduction 5
- Co-authors
- David W. Macdonald (3 shared papers)Roșie Woodroffe (2 shared papers)Austin L. Hughes (3 shared papers)Robert Friedman (2 shared papers)John D. Neilson (1 shared paper)A. Hughes (2 shared papers)David H. O’Connor (2 shared papers)John M. Terhune (1 shared paper)
- Journals
- Evolution (7 papers)Genetics (4 papers)The American Naturalist (4 papers)Genome Research (2 papers)Journal of Evolutionary Biology (2 papers)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Jack da Silva
44 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Virology 364
- Ecology 545
- Genetics 451
- Ecology, Evolution, Behavior and Systematics 314
- Immunology 284
Countries citing papers authored by Jack da Silva
This map shows the geographic impact of Jack da Silva'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 Jack da Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack da Silva more than expected).
Fields of papers citing papers by Jack da Silva
This network shows the impact of papers produced by Jack da Silva. 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 Jack da Silva. The network helps show where Jack da Silva may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack da Silva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 321 | |
| 2 | 1995 | 124 | |
| 3 | 1985 | 113 | |
| 4 | 1993 | 109 | |
| 5 | 2001 | 106 | |
| 6 | 2010 | 102 | |
| 7 | 1999 | 98 | |
| 8 | 2001 | 93 | |
| 9 | 1994 | 74 | |
| 10 | 2001 | 62 | |
| 11 | 1988 | 57 | |
| 12 | 1986 | 43 | |
| 13 | 2001 | 39 | |
| 14 | 1991 | 33 | |
| 15 | 2021 | 28 | |
| 16 | 1998 | 25 | |
| 17 | 1992 | 21 | |
| 18 | 2003 | 20 | |
| 19 | 2002 | 19 | |
| 20 | 1996 | 15 |
About Jack da Silva
Jack da Silva is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Ecology, Virology and Molecular Biology, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (12 papers), HIV Research and Treatment (12 papers), Plant and animal studies (11 papers), Insect and Arachnid Ecology and Behavior (7 papers), Immune Cell Function and Interaction (5 papers), Animal Behavior and Reproduction (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers) and Insect and Pesticide Research (4 papers). The work is most often cited by research in Virology (364 citations), Ecology (545 citations), Genetics (451 citations), Ecology, Evolution, Behavior and Systematics (314 citations) and Immunology (284 citations). Jack da Silva has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include David W. Macdonald, Roșie Woodroffe, Austin L. Hughes, Robert Friedman, John D. Neilson, A. Hughes, David H. O’Connor, John M. Terhune, Graham Bell and Peter G. H. Evans. Their work appears in journals such as Evolution, Genetics, The American Naturalist, Genome Research and Journal of Evolutionary Biology.
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.