Geoffrey D. Findlay
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Molecular Biology
- Insect Science top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Willie J. SwansonMichael J. MacCossXianhua YiMariana F. WolfnerJessica L. SitnikWenke WangNathan L ClarkCharles F. Aquadro
- Topics
- Neurobiology and Insect Physiology Research (9 papers)Insect and Arachnid Ecology and Behavior (9 papers)Animal Behavior and Reproduction (8 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Geoffrey D. Findlay
17 papers receiving 869 citations
Peers
Comparison fields: 5 of 70
- Genetics 454
- Ecology, Evolution, Behavior and Systematics 390
- Molecular Biology 288
- Insect Science 194
- Cellular and Molecular Neuroscience 191
Countries citing papers authored by Geoffrey D. Findlay
This map shows the geographic impact of Geoffrey D. Findlay'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 Geoffrey D. Findlay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey D. Findlay more than expected).
Fields of papers citing papers by Geoffrey D. Findlay
This network shows the impact of papers produced by Geoffrey D. Findlay. 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 Geoffrey D. Findlay. The network helps show where Geoffrey D. Findlay may publish in the future.
Co-authorship network of co-authors of Geoffrey D. Findlay
This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey D. Findlay. A scholar is included among the top collaborators of Geoffrey D. Findlay 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 Geoffrey D. Findlay. Geoffrey D. Findlay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 30 | |
| 5 | 40 | |
| 6 | 15 | |
| 7 | 42 | |
| 8 | 42 | |
| 9 | 117 | |
| 10 | 29 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 51 | |
| 14 | 78 | |
| 15 | 123 | |
| 16 | 12 | |
| 17 | 276 |
About Geoffrey D. Findlay
Geoffrey D. Findlay is a scholar working on Cellular and Molecular Neuroscience, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 872 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (9 papers), Insect and Arachnid Ecology and Behavior (9 papers) and Animal Behavior and Reproduction (8 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (390 citations), Genetics (454 citations) and Insect Science (194 citations). Geoffrey D. Findlay has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Willie J. Swanson, Michael J. MacCoss, Xianhua Yi, Mariana F. Wolfner, Jessica L. Sitnik, Wenke Wang, Nathan L Clark, Charles F. Aquadro, Erich Bornberg‐Bauer and Meaghan K. McGeary. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genetics.
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.