Bruce Wightman
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Aging 19
- Genetics, Aging, and Longevity in Model Organisms 19
-
- Circadian rhythm and melatonin 6
- Co-authors
- Gary RuvkunIlho HaPrema ArasuGian GarrigaThomas R. BürglinFred W. WolfMing‐Shiu HungAmy T. Hark
- Journals
- Development (4 papers)Developmental Biology (4 papers)Genes & Development (3 papers)Neuron (1 paper)BMC Molecular Biology (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Bruce Wightman
22 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Aging 593
- Cancer Research 2.5k
- Molecular Biology 3.2k
- Endocrine and Autonomic Systems 139
- Cellular and Molecular Neuroscience 216
Countries citing papers authored by Bruce Wightman
This map shows the geographic impact of Bruce Wightman'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 Bruce Wightman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce Wightman more than expected).
Fields of papers citing papers by Bruce Wightman
This network shows the impact of papers produced by Bruce Wightman. 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 Bruce Wightman. The network helps show where Bruce Wightman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bruce Wightman, 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 | 2024 | 0 | |
| 2 | 2021 | 1 | |
| 3 | 2018 | 6 | |
| 4 | 2017 | 22 | |
| 5 | 2012 | 10 | |
| 6 | 2012 | 20 | |
| 7 | 2011 | 23 | |
| 8 | 2008 | 1 | |
| 9 | 2008 | 14 | |
| 10 | 2006 | 29 | |
| 11 | 2006 | 2 | |
| 12 | 2005 | 38 | |
| 13 | 2000 | 57 | |
| 14 | 1998 | 54 | |
| 15 | 1997 | 63 | |
| 16 | 1996 | 57 | |
| 17 | 1996 | 185 | |
| 18 | Posttranscriptional regulation of the heterochronic gene lin-14 by lin-4 mediates temporal pattern formation in C. elegans Hit paper breakdown → | 1993 | 3168 |
| 19 | 1991 | 153 | |
| 20 | 1991 | 92 |
About Bruce Wightman
Bruce Wightman is a scholar working on Aging, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 23 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (19 papers), Circadian rhythm and melatonin (6 papers), Spaceflight effects on biology (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Estrogen and related hormone effects (3 papers), Plant Stress Responses and Tolerance (3 papers), RNA Research and Splicing (3 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Aging (593 citations), Cancer Research (2.5k citations), Molecular Biology (3.2k citations), Endocrine and Autonomic Systems (139 citations) and Cellular and Molecular Neuroscience (216 citations). Bruce Wightman has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Gary Ruvkun, Ilho Ha, Prema Arasu, Gian Garriga, Thomas R. Bürglin, Fred W. Wolf, Ming‐Shiu Hung, Amy T. Hark, Scott G. Clark and Wayne C. Forrester. Their work appears in journals such as Development, Developmental Biology, Genes & Development, Neuron and BMC Molecular 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.