Eric D. Hoopfer
Impact in
-
- Neurobiology and Insect Physiology Research
- Nerve injury and regeneration
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Neurobiology and Insect Physiology Research 13
- Genetics 9
- Insect and Arachnid Ecology and Behavior 7
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Liqun Luo (4 shared papers)David J. Anderson (8 shared papers)Ryan J. Watts (3 shared papers)Pietro Perona (2 shared papers)H. Inagaki (3 shared papers)Liming Wang (1 shared paper)H. Dankert (1 shared paper)Robert J. Denver (2 shared papers)
- Journals
- Neuron (5 papers)eLife (3 papers)Nature Methods (2 papers)Cell (2 papers)General and Comparative Endocrinology (1 paper)
- Partner nations
- United StatesPuerto RicoFrance
In The Last Decade
Eric D. Hoopfer
16 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 100
- Cellular and Molecular Neuroscience 1.4k
- Aging 125
- Developmental Neuroscience 145
- Ecology, Evolution, Behavior and Systematics 493
- Genetics 584
Countries citing papers authored by Eric D. Hoopfer
This map shows the geographic impact of Eric D. Hoopfer'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 Eric D. Hoopfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Hoopfer more than expected).
Fields of papers citing papers by Eric D. Hoopfer
This network shows the impact of papers produced by Eric D. Hoopfer. 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 Eric D. Hoopfer. The network helps show where Eric D. Hoopfer may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric D. Hoopfer, 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 | 2003 | 310 | |
| 2 | 2009 | 261 | |
| 3 | 2003 | 258 | |
| 4 | 2014 | 235 | |
| 5 | 2013 | 212 | |
| 6 | 2006 | 206 | |
| 7 | 2015 | 149 | |
| 8 | 2010 | 85 | |
| 9 | 2017 | 74 | |
| 10 | 2016 | 72 | |
| 11 | 2014 | 46 | |
| 12 | 2020 | 44 | |
| 13 | 2008 | 43 | |
| 14 | 2002 | 37 | |
| 15 | 2018 | 35 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 0 |
About Eric D. Hoopfer
Eric D. Hoopfer is a scholar working on Cellular and Molecular Neuroscience, Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Endocrine and Autonomic Systems, having authored 17 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (13 papers), Insect and Arachnid Ecology and Behavior (7 papers), Animal Behavior and Reproduction (6 papers), Ubiquitin and proteasome pathways (2 papers), Circadian rhythm and melatonin (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Hypothalamic control of reproductive hormones (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Aging (125 citations), Developmental Neuroscience (145 citations), Ecology, Evolution, Behavior and Systematics (493 citations) and Genetics (584 citations). Eric D. Hoopfer has collaborated with scholars based in United States, Puerto Rico and France. Frequent co-authors include Liqun Luo, David J. Anderson, Ryan J. Watts, Pietro Perona, H. Inagaki, Liming Wang, H. Dankert, Robert J. Denver, Kiichi Watanabe and Gerald M. Rubin. Their work appears in journals such as Neuron, eLife, Nature Methods, Cell and General and Comparative Endocrinology.
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.