Gregorio D. Chazenbalk
- Endocrinology, Diabetes and Metabolism top 0.2%
- Molecular Biology top 2%
- Reproductive Medicine top 0.2%
- Public Health, Environmental and Occupational Health top 1%
- Immunology top 2%
- Co-authors
- Basil RapoportDaniel A. DumesicSandra M. McLachlanRicardo AzzizMark O. GoodarziB RapoportYuji NagayamaDiego Russo
- Topics
- Thyroid Disorders and Treatments (31 papers)Ovarian function and disorders (31 papers)Monoclonal and Polyclonal Antibodies Research (27 papers)
- Partner nations
- United StatesJapanArgentina
In The Last Decade
Gregorio D. Chazenbalk
136 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Endocrinology, Diabetes and Metabolism 2.7k
- Molecular Biology 2.6k
- Reproductive Medicine 2.2k
- Public Health, Environmental and Occupational Health 1.3k
- Immunology 1.2k
Countries citing papers authored by Gregorio D. Chazenbalk
This map shows the geographic impact of Gregorio D. Chazenbalk'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 Gregorio D. Chazenbalk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregorio D. Chazenbalk more than expected).
Fields of papers citing papers by Gregorio D. Chazenbalk
This network shows the impact of papers produced by Gregorio D. Chazenbalk. 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 Gregorio D. Chazenbalk. The network helps show where Gregorio D. Chazenbalk may publish in the future.
Co-authorship network of co-authors of Gregorio D. Chazenbalk
This figure shows the co-authorship network connecting the top 25 collaborators of Gregorio D. Chazenbalk. A scholar is included among the top collaborators of Gregorio D. Chazenbalk 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 Gregorio D. Chazenbalk. Gregorio D. Chazenbalk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 12 | |
| 4 | 14 | |
| 5 | 31 | |
| 6 | 31 | |
| 7 | 17 | |
| 8 | 125 | |
| 9 | 72 | |
| 10 | 22 | |
| 11 | 6 | |
| 12 | 115 | |
| 13 | 90 | |
| 14 | 51 | |
| 15 | 38 | |
| 16 | 12 | |
| 17 | 58 | |
| 18 | 19 | |
| 19 | 120 | |
| 20 | 43 |
About Gregorio D. Chazenbalk
Gregorio D. Chazenbalk is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 137 papers that have together received 7.2k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (31 papers), Ovarian function and disorders (31 papers) and Monoclonal and Polyclonal Antibodies Research (27 papers). The work is most often cited by research in Reproductive Medicine (2.2k citations), Endocrinology, Diabetes and Metabolism (2.7k citations) and Immunology (1.2k citations). Gregorio D. Chazenbalk has collaborated with scholars based in United States, Japan and Argentina. Frequent co-authors include Basil Rapoport, Daniel A. Dumesic, Sandra M. McLachlan, Ricardo Azziz, Mark O. Goodarzi, B Rapoport, Yuji Nagayama, Diego Russo, Juan Carlos Jaume and Harry Wadsworth. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.