Jack da Silva
Impact in
Papers in
- Co-authors
- David Whyte Macdonald (3 shared papers)Roșie Woodroffe (2 shared papers)John D. Neilson (1 shared paper)Austin L. Hughes (4 shared papers)David H. O’Connor (2 shared papers)John M. Terhune (1 shared paper)Peter G. H. Evans (1 shared paper)Graham Bell (4 shared papers)
- Journals
- Evolution (5 papers)Genetics (4 papers)The American Naturalist (4 papers)Proceedings of the Royal Society B Biological Sciences (3 papers)Journal of Evolutionary Biology (2 papers)
- Partner nations
- AustraliaCanadaUnited States
In The Last Decade
Jack da Silva
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 54
- Virology 295
- Ecology 251
- Genetics 237
- Ecology, Evolution, Behavior and Systematics 123
- Paleontology 52
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 335 | |
| 2 | 1995 | 122 | |
| 3 | 1985 | 110 | |
| 4 | 1993 | 109 | |
| 5 | 2010 | 104 | |
| 6 | 1999 | 98 | |
| 7 | 1994 | 73 | |
| 8 | 2001 | 61 | |
| 9 | 1988 | 53 | |
| 10 | 1986 | 41 | |
| 11 | 2001 | 38 | |
| 12 | 1991 | 34 | |
| 13 | 2021 | 30 | |
| 14 | 1998 | 26 | |
| 15 | 1992 | 20 | |
| 16 | 2003 | 20 | |
| 17 | 2002 | 19 | |
| 18 | 2002 | 16 | |
| 19 | 2007 | 15 | |
| 20 | 2011 | 15 |
About Jack da Silva
Jack da Silva is a scholar working on Genetics, Virology, Ecology, Evolution, Behavior and Systematics, Aging and Developmental Biology, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (11 papers), HIV Research and Treatment (5 papers), Insect and Arachnid Ecology and Behavior (4 papers), Animal Behavior and Reproduction (2 papers), BRCA gene mutations in cancer (1 paper), Wildlife Ecology and Conservation (1 paper), Bacterial biofilms and quorum sensing (1 paper) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Virology (295 citations), Ecology (251 citations), Genetics (237 citations), Ecology, Evolution, Behavior and Systematics (123 citations) and Paleontology (52 citations). Jack da Silva has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include David Whyte Macdonald, Roșie Woodroffe, John D. Neilson, Austin L. Hughes, David H. O’Connor, John M. Terhune, Peter G. H. Evans, Graham Bell, Mia Coetzer and Rebecca Nedellec. Their work appears in journals such as Evolution, Genetics, The American Naturalist, Proceedings of the Royal Society B Biological Sciences 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.