Eric Rulifson
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
Papers in ⓘ
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
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- Neurobiology and Insect Physiology Research 10
- Co-authors
- Seung K. Kim (2 shared papers)Roel Nusse (6 shared papers)Seth S. Blair (3 shared papers)Charles Géminard (1 shared paper)Pierre Léopold (1 shared paper)Craig A. Micchelli (2 shared papers)Matthew Fish (3 shared papers)Ken M. Cadigan (3 shared papers)
- Journals
- Development (4 papers)Circulation Research (2 papers)Nature (2 papers)Cell Metabolism (1 paper)Circulation (1 paper)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Eric Rulifson
20 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Aging 551
- Cellular and Molecular Neuroscience 1.6k
- Insect Science 450
- Immunology 623
- Cell Biology 477
Countries citing papers authored by Eric Rulifson
This map shows the geographic impact of Eric Rulifson'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 Rulifson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Rulifson more than expected).
Fields of papers citing papers by Eric Rulifson
This network shows the impact of papers produced by Eric Rulifson. 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 Rulifson. The network helps show where Eric Rulifson may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Rulifson, 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 | Ablation of Insulin-Producing Neurons in Flies: Growth and Diabetic Phenotypes Hit paper breakdown → | 2002 | 854 |
| 2 | 2009 | 445 | |
| 3 | 1997 | 351 | |
| 4 | 2004 | 343 | |
| 5 | 1998 | 279 | |
| 6 | 1995 | 183 | |
| 7 | 2011 | 163 | |
| 8 | 2017 | 117 | |
| 9 | 2000 | 113 | |
| 10 | 1996 | 97 | |
| 11 | 2007 | 69 | |
| 12 | 2015 | 46 | |
| 13 | Cell culture and whole animal approaches to understanding signaling by Wnt proteins in Drosophila. | 1997 | 27 |
| 14 | 2011 | 20 | |
| 15 | 2018 | 18 | |
| 16 | 2022 | 17 | |
| 17 | 2014 | 4 | |
| 18 | 2000 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2011 | 1 |
About Eric Rulifson
Eric Rulifson is a scholar working on Aging, Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology and Hardware and Architecture, having authored 20 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (10 papers), Developmental Biology and Gene Regulation (6 papers), Plant Molecular Biology Research (5 papers), Invertebrate Immune Response Mechanisms (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Pluripotent Stem Cells Research (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (551 citations), Cellular and Molecular Neuroscience (1.6k citations), Insect Science (450 citations), Immunology (623 citations) and Cell Biology (477 citations). Eric Rulifson has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Seung K. Kim, Roel Nusse, Seth S. Blair, Charles Géminard, Pierre Léopold, Craig A. Micchelli, Matthew Fish, Ken M. Cadigan, Tsubasa Tanaka and Brandy Alexander. Their work appears in journals such as Development, Circulation Research, Nature, Cell Metabolism and Circulation.
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.