Don Gilbert
Impact in
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- Genetic diversity and population structure
Papers in
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- Genetics, Bioinformatics, and Biomedical Research 8
- Genomics and Phylogenetic Studies 7
- Gene expression and cancer classification 3
- Molecular Biology Techniques and Applications 3
- Bioinformatics and Genomic Networks 3
- Machine Learning in Bioinformatics 2
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- Scientific Computing and Data Management 3
- Co-authors
- John K. Colbourne (4 shared papers)William T. Starmer (1 shared paper)Vasanth Singan (1 shared paper)Florian Leese (1 shared paper)Michael E. Pfrender (1 shared paper)Katina I. Spanier (1 shared paper)Ralph Tollrian (1 shared paper)Christoph Mayer (1 shared paper)
- Journals
- Briefings in Bioinformatics (5 papers)Bioinformatics (3 papers)Computer applications in the biosciences (2 papers)Evolution (1 paper)Current Protocols in Bioinformatics (1 paper)
- Partner nations
- United StatesThailandMalaysia
In The Last Decade
Don Gilbert
24 papers receiving 610 citations
Peers
Comparison fields: 5 of 91
- Aging 11
- Genetics 134
- Ecology 125
- Ecology, Evolution, Behavior and Systematics 93
- Insect Science 55
Countries citing papers authored by Don Gilbert
This map shows the geographic impact of Don Gilbert'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 Don Gilbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Gilbert more than expected).
Fields of papers citing papers by Don Gilbert
This network shows the impact of papers produced by Don Gilbert. 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 Don Gilbert. The network helps show where Don Gilbert may publish in the future.
Co-authors
The 25 scholars most cited alongside Don Gilbert, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 117 | |
| 2 | 1985 | 79 | |
| 3 | 2005 | 72 | |
| 4 | 2010 | 54 | |
| 5 | 2016 | 54 | |
| 6 | 2004 | 43 | |
| 7 | 2017 | 42 | |
| 8 | 2002 | 38 | |
| 9 | 2003 | 35 | |
| 10 | 2019 | 31 | |
| 11 | 2008 | 16 | |
| 12 | 2004 | 10 | |
| 13 | 1990 | 7 | |
| 14 | 2016 | 6 | |
| 15 | 2009 | 4 | |
| 16 | 2003 | 4 | |
| 17 | 2003 | 4 | |
| 18 | 2002 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 1990 | 1 |
About Don Gilbert
Don Gilbert is a scholar working on Molecular Biology, Information Systems and Management, Nature and Landscape Conservation, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 24 papers that have together received 625 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (8 papers), Genomics and Phylogenetic Studies (7 papers), Gene expression and cancer classification (3 papers), Molecular Biology Techniques and Applications (3 papers), Bioinformatics and Genomic Networks (3 papers), Scientific Computing and Data Management (3 papers), Machine Learning in Bioinformatics (2 papers) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Aging (11 citations), Genetics (134 citations), Ecology (125 citations), Ecology, Evolution, Behavior and Systematics (93 citations) and Insect Science (55 citations). Don Gilbert has collaborated with scholars based in United States, Thailand and Malaysia. Frequent co-authors include John K. Colbourne, William T. Starmer, Vasanth Singan, Florian Leese, Michael E. Pfrender, Katina I. Spanier, Ralph Tollrian, Christoph Mayer, Justen Andrews and Jeong‐Hyeon Choi. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, Computer applications in the biosciences, Evolution and Current Protocols in Bioinformatics.
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.