Sara Wasserman
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
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- Neurobiology and Insect Physiology Research 8
- Genetics 6
- Insect and Arachnid Ecology and Behavior 6
- Co-authors
- Piali Sengupta (4 shared papers)Aravinthan D. T. Samuel (2 shared papers)David Biron (2 shared papers)Mark A. Frye (5 shared papers)James H. Thomas (1 shared paper)Christopher V. Gabel (1 shared paper)Adam R. Brown (1 shared paper)Damon A. Clark (1 shared paper)
- Journals
- Current Biology (6 papers)iScience (2 papers)Integrative and Comparative Biology (2 papers)PLoS Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Sara Wasserman
14 papers receiving 430 citations
Peers
Comparison fields: 5 of 63
- Aging 237
- Endocrine and Autonomic Systems 216
- Cellular and Molecular Neuroscience 194
- Sensory Systems 26
- Physiology 79
Countries citing papers authored by Sara Wasserman
This map shows the geographic impact of Sara Wasserman'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 Sara Wasserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Wasserman more than expected).
Fields of papers citing papers by Sara Wasserman
This network shows the impact of papers produced by Sara Wasserman. 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 Sara Wasserman. The network helps show where Sara Wasserman may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Wasserman, 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 | 2008 | 111 | |
| 2 | 2006 | 76 | |
| 3 | 2010 | 61 | |
| 4 | 2013 | 50 | |
| 5 | 2015 | 39 | |
| 6 | 2011 | 39 | |
| 7 | 2021 | 19 | |
| 8 | 2012 | 18 | |
| 9 | 2021 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2021 | 4 | |
| 12 | 2024 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2024 | 1 |
About Sara Wasserman
Sara Wasserman is a scholar working on Cellular and Molecular Neuroscience, Genetics, Endocrine and Autonomic Systems, Ecology, Evolution, Behavior and Systematics and Aging, having authored 14 papers that have together received 432 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (8 papers), Insect and Arachnid Ecology and Behavior (6 papers), Circadian rhythm and melatonin (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Animal Behavior and Reproduction (4 papers), Insect behavior and control techniques (2 papers), Olfactory and Sensory Function Studies (2 papers) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Aging (237 citations), Endocrine and Autonomic Systems (216 citations), Cellular and Molecular Neuroscience (194 citations), Sensory Systems (26 citations) and Physiology (79 citations). Sara Wasserman has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Piali Sengupta, Aravinthan D. T. Samuel, David Biron, Mark A. Frye, James H. Thomas, Christopher V. Gabel, Adam R. Brown, Damon A. Clark, Harold W. Bell and Alexander M. van der Linden. Their work appears in journals such as Current Biology, iScience, Integrative and Comparative Biology, PLoS Biology and Proceedings of the National Academy of Sciences.
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.