Darren W. Williams
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 4
-
- Neurobiology and Insect Physiology Research 27
- Developmental Neuroscience top 5%
- Cell Biology top 5%
- Behavioral Neuroscience top 10%
-
- Developmental Biology and Gene Regulation 9
-
- Invertebrate Immune Response Mechanisms 8
-
- Physiological and biochemical adaptations 6
-
- Growth Hormone and Insulin-like Growth Factors 6
-
- Plant Molecular Biology Research 5
-
- Animal Behavior and Reproduction 4
- Co-authors
- James W. TrumanDavid ShepherdShu KondoYasushi HiromiAgnieszka KrzyzanowskaAmrita MukherjeeL. Lyndon KeyA.D. Elster
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Darren W. Williams
44 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 122
- Aging 119
- Cellular and Molecular Neuroscience 959
- Developmental Neuroscience 86
- Cell Biology 335
- Behavioral Neuroscience 60
Countries citing papers authored by Darren W. Williams
This map shows the geographic impact of Darren W. Williams'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 Darren W. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darren W. Williams more than expected).
Fields of papers citing papers by Darren W. Williams
This network shows the impact of papers produced by Darren W. Williams. 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 Darren W. Williams. The network helps show where Darren W. Williams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Darren W. Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 44 | |
| 2 | 2020 | 13 | |
| 3 | 2018 | 5 | |
| 4 | 2017 | 67 | |
| 5 | 2012 | 41 | |
| 6 | 2011 | 3 | |
| 7 | 2009 | 31 | |
| 8 | 2009 | 49 | |
| 9 | 2006 | 290 | |
| 10 | 2006 | 8 | |
| 11 | 2005 | 176 | |
| 12 | 2004 | 59 | |
| 13 | 2000 | 83 | |
| 14 | 2000 | 1 | |
| 15 | 1999 | 2 | |
| 16 | 1997 | 51 | |
| 17 | 1997 | 38 | |
| 18 | 1996 | 36 | |
| 19 | 1996 | 10 | |
| 20 | 1990 | 125 |
About Darren W. Williams
Darren W. Williams is a scholar working on Aging, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (27 papers), Developmental Biology and Gene Regulation (9 papers), Invertebrate Immune Response Mechanisms (8 papers), Physiological and biochemical adaptations (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Plant Molecular Biology Research (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Animal Behavior and Reproduction (4 papers). The work is most often cited by research in Aging (119 citations), Cellular and Molecular Neuroscience (959 citations) and Developmental Neuroscience (86 citations). Darren W. Williams has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include James W. Truman, David Shepherd, Shu Kondo, Yasushi Hiromi, Agnieszka Krzyzanowska, Amrita Mukherjee, L. Lyndon Key, A.D. Elster, Brian M. Luttrell and K VijayRaghavan. Their work appears in journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.
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.