Gary G. Chicchi
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Cellular and Molecular Neuroscience top 2%
- Organic Chemistry top 5%
- Surgery top 10%
- Co-authors
- Margaret A. CascieriMarvin BayneJoy ApplebaumNancy S. HayesMarc M. KurtzBarbara G. GreenSharon SadowskiChristopher J. Swain
- Topics
- Neuropeptides and Animal Physiology (32 papers)Receptor Mechanisms and Signaling (30 papers)Growth Hormone and Insulin-like Growth Factors (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryCirculation Research
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Gary G. Chicchi
65 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.5k
- Endocrinology, Diabetes and Metabolism 862
- Cellular and Molecular Neuroscience 784
- Organic Chemistry 473
- Surgery 374
Countries citing papers authored by Gary G. Chicchi
This map shows the geographic impact of Gary G. Chicchi'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 G. Chicchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary G. Chicchi more than expected).
Fields of papers citing papers by Gary G. Chicchi
This network shows the impact of papers produced by Gary G. Chicchi. 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 G. Chicchi. The network helps show where Gary G. Chicchi may publish in the future.
Co-authorship network of co-authors of Gary G. Chicchi
This figure shows the co-authorship network connecting the top 25 collaborators of Gary G. Chicchi. A scholar is included among the top collaborators of Gary G. Chicchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gary G. Chicchi. Gary G. Chicchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 90 | |
| 3 | 111 | |
| 4 | 21 | |
| 5 | 8 | |
| 6 | 45 | |
| 7 | 11 | |
| 8 | 24 | |
| 9 | 15 | |
| 10 | 18 | |
| 11 | 15 | |
| 12 | 16 | |
| 13 | 60 | |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 25 | |
| 17 | 49 | |
| 18 | 6 | |
| 19 | 56 | |
| 20 | 8 |
About Gary G. Chicchi
Gary G. Chicchi is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Toxicology, having authored 65 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (32 papers), Receptor Mechanisms and Signaling (30 papers) and Growth Hormone and Insulin-like Growth Factors (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (862 citations), Cellular and Molecular Neuroscience (784 citations) and Molecular Biology (1.5k citations). Gary G. Chicchi has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Margaret A. Cascieri, Marvin Bayne, Joy Applebaum, Nancy S. Hayes, Marc M. Kurtz, Barbara G. Green, Sharon Sadowski, Christopher J. Swain, Kwei‐Lan Tsao and Angela Williams. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation Research.
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.