Gary Grumbling
Impact in
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- Neurobiology and Insect Physiology Research
- Aging top 10%
Papers in
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- Developmental Biology and Gene Regulation 3
- Biomedical Text Mining and Ontologies 2
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- Neurobiology and Insect Physiology Research 2
- Axon Guidance and Neuronal Signaling 1
- Co-authors
- Amanda Simcox (4 shared papers)Allen Shearn (1 shared paper)Evelyn Hersperger (1 shared paper)Bruce C. Schnepp (1 shared paper)Marta Costa (1 shared paper)David Osumi-Sutherland (1 shared paper)Simon Reeve (1 shared paper)Ben‐Zion Shilo (1 shared paper)
- Journals
- Developmental Biology (2 papers)Genes & Development (2 papers)Journal of Biomedical Semantics (1 paper)Nucleic Acids Research (1 paper)Database (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Gary Grumbling
7 papers receiving 632 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 225
- Aging 21
- Cell Biology 151
- Molecular Biology 517
- Immunology 79
Countries citing papers authored by Gary Grumbling
This map shows the geographic impact of Gary Grumbling'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 Gary Grumbling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Grumbling more than expected).
Fields of papers citing papers by Gary Grumbling
This network shows the impact of papers produced by Gary Grumbling. 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 Gary Grumbling. The network helps show where Gary Grumbling may publish in the future.
Co-authors
The 16 scholars most cited alongside Gary Grumbling, 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 | 1996 | 194 | |
| 2 | 2005 | 185 | |
| 3 | 1996 | 90 | |
| 4 | 1998 | 54 | |
| 5 | 2013 | 53 | |
| 6 | 1999 | 41 | |
| 7 | 2012 | 21 |
About Gary Grumbling
Gary Grumbling is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Pharmacology and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 638 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (3 papers), Biomedical Text Mining and Ontologies (2 papers), Neurobiology and Insect Physiology Research (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Scientific Computing and Data Management (1 paper), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper) and Axon Guidance and Neuronal Signaling (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (225 citations), Aging (21 citations), Cell Biology (151 citations), Molecular Biology (517 citations) and Immunology (79 citations). Gary Grumbling has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Amanda Simcox, Allen Shearn, Evelyn Hersperger, Bruce C. Schnepp, Marta Costa, David Osumi-Sutherland, Simon Reeve, Ben‐Zion Shilo, Ronen Schweitzer and Robert Wessells. Their work appears in journals such as Developmental Biology, Genes & Development, Journal of Biomedical Semantics, Nucleic Acids Research and Database.
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.