Pablo V. Gejman
- Molecular Biology top 5%
- Genetics top 2%
- Rheumatology top 1%
- Cellular and Molecular Neuroscience top 5%
- Oncology top 10%
- Co-authors
- Eitan FriedmanLee S. WeinsteinAllen M. SpiegelAlan R. SandersAndrew ShenkerMaria J. MerinoJubao DuanAnibal Cravchik
- Topics
- Genetic Associations and Epidemiology (13 papers)Genomic variations and chromosomal abnormalities (10 papers)Receptor Mechanisms and Signaling (10 papers)
- Partner nations
- United StatesArgentinaSweden
In The Last Decade
Pablo V. Gejman
57 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.5k
- Genetics 980
- Rheumatology 652
- Cellular and Molecular Neuroscience 507
- Oncology 440
Countries citing papers authored by Pablo V. Gejman
This map shows the geographic impact of Pablo V. Gejman'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 Pablo V. Gejman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo V. Gejman more than expected).
Fields of papers citing papers by Pablo V. Gejman
This network shows the impact of papers produced by Pablo V. Gejman. 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 Pablo V. Gejman. The network helps show where Pablo V. Gejman may publish in the future.
Co-authorship network of co-authors of Pablo V. Gejman
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo V. Gejman. A scholar is included among the top collaborators of Pablo V. Gejman 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 Pablo V. Gejman. Pablo V. Gejman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 16 | |
| 3 | 14 | |
| 4 | 16 | |
| 5 | 80 | |
| 6 | 42 | |
| 7 | 28 | |
| 8 | La etiología de la esquizofrenia | 3 |
| 9 | 45 | |
| 10 | 194 | |
| 11 | 66 | |
| 12 | 12 | |
| 13 | 21 | |
| 14 | 103 | |
| 15 | 7 | |
| 16 | 8 | |
| 17 | 46 | |
| 18 | Activating Mutations of the Stimulatory G Protein in the McCune–Albright Syndromebreakdown → | 1155 |
| 19 | 16 | |
| 20 | 9 |
About Pablo V. Gejman
Pablo V. Gejman is a scholar working on Endocrine and Autonomic Systems, Genetics and Molecular Biology, having authored 58 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (13 papers), Genomic variations and chromosomal abnormalities (10 papers) and Receptor Mechanisms and Signaling (10 papers). The work is most often cited by research in Rheumatology (652 citations), Biological Psychiatry (106 citations) and Genetics (980 citations). Pablo V. Gejman has collaborated with scholars based in United States, Argentina and Sweden. Frequent co-authors include Eitan Friedman, Lee S. Weinstein, Allen M. Spiegel, Alan R. Sanders, Andrew Shenker, Maria J. Merino, Jubao Duan, Anibal Cravchik, Daniel P. Cardinali and Kenneth S. Kendler. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.
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.