Fred W. Wolf
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
Papers in
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- Neurobiology and Insect Physiology Research 20
- Axon Guidance and Neuronal Signaling 3
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- Animal Behavior and Reproduction 6
- Co-authors
- Ulrike Heberlein (9 shared papers)Tim Lebestky (4 shared papers)Linus Tsai (1 shared paper)Aylin R. Rodan (1 shared paper)Gian Garriga (4 shared papers)Kyung‐An Han (1 shared paper)Pietro Perona (1 shared paper)David J. Anderson (1 shared paper)
- Journals
- Genes Brain & Behavior (3 papers)Journal of Neuroscience (3 papers)PLoS ONE (2 papers)Alcoholism Clinical and Experimental Research (2 papers)G3 Genes Genomes Genetics (2 papers)
- Partner nations
- United StatesJapanRussia
In The Last Decade
Fred W. Wolf
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 82
- Aging 204
- Cellular and Molecular Neuroscience 953
- Endocrine and Autonomic Systems 180
- Insect Science 205
- Ecology, Evolution, Behavior and Systematics 228
Countries citing papers authored by Fred W. Wolf
This map shows the geographic impact of Fred W. Wolf'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 Fred W. Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred W. Wolf more than expected).
Fields of papers citing papers by Fred W. Wolf
This network shows the impact of papers produced by Fred W. Wolf. 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 Fred W. Wolf. The network helps show where Fred W. Wolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred W. Wolf, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 205 | |
| 2 | 2002 | 173 | |
| 3 | 2002 | 147 | |
| 4 | 2010 | 145 | |
| 5 | 2009 | 96 | |
| 6 | 2007 | 79 | |
| 7 | 1998 | 55 | |
| 8 | 2004 | 51 | |
| 9 | 2018 | 45 | |
| 10 | 2006 | 40 | |
| 11 | 2016 | 38 | |
| 12 | 2011 | 35 | |
| 13 | 2012 | 31 | |
| 14 | 2007 | 29 | |
| 15 | 2021 | 25 | |
| 16 | 2018 | 23 | |
| 17 | 2016 | 21 | |
| 18 | 2015 | 21 | |
| 19 | 2018 | 17 | |
| 20 | 2017 | 16 |
About Fred W. Wolf
Fred W. Wolf is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Genetics and Endocrine and Autonomic Systems, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (20 papers), Insect and Arachnid Ecology and Behavior (6 papers), Animal Behavior and Reproduction (6 papers), Circadian rhythm and melatonin (5 papers), Physiological and biochemical adaptations (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Axon Guidance and Neuronal Signaling (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). The work is most often cited by research in Aging (204 citations), Cellular and Molecular Neuroscience (953 citations), Endocrine and Autonomic Systems (180 citations), Insect Science (205 citations) and Ecology, Evolution, Behavior and Systematics (228 citations). Fred W. Wolf has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Ulrike Heberlein, Tim Lebestky, Linus Tsai, Aylin R. Rodan, Gian Garriga, Kyung‐An Han, Pietro Perona, David J. Anderson, Young-Cho Kim and H. Dankert. Their work appears in journals such as Genes Brain & Behavior, Journal of Neuroscience, PLoS ONE, Alcoholism Clinical and Experimental Research and G3 Genes Genomes 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.