Jitu W. George
- Molecular Biology
- Reproductive Medicine top 5%
- Public Health, Environmental and Occupational Health
- Obstetrics and Gynecology top 10%
- Genetics
- Co-authors
- Leslie L. HeckertJohn S. DavisGuohua HuaEmilia PrzygrodzkaAmanda L. PattersonMichele R. PlewesJose M. TeixeiraCheng Wang
- Topics
- Per- and polyfluoroalkyl substances research (4 papers)Reproductive Biology and Fertility (4 papers)Uterine Myomas and Treatments (4 papers)
- Cited by
- Reproductive MedicineObstetrics and GynecologyPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Jitu W. George
19 papers receiving 373 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 136
- Reproductive Medicine 136
- Public Health, Environmental and Occupational Health 110
- Obstetrics and Gynecology 76
- Genetics 57
Countries citing papers authored by Jitu W. George
This map shows the geographic impact of Jitu W. George'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 Jitu W. George with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jitu W. George more than expected).
Fields of papers citing papers by Jitu W. George
This network shows the impact of papers produced by Jitu W. George. 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 Jitu W. George. The network helps show where Jitu W. George may publish in the future.
Co-authorship network of co-authors of Jitu W. George
This figure shows the co-authorship network connecting the top 25 collaborators of Jitu W. George. A scholar is included among the top collaborators of Jitu W. George 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 Jitu W. George. Jitu W. George is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 26 | |
| 7 | 2 | |
| 8 | 67 | |
| 9 | 18 | |
| 10 | 13 | |
| 11 | 58 | |
| 12 | 21 | |
| 13 | 11 | |
| 14 | 11 | |
| 15 | 4 | |
| 16 | 20 | |
| 17 | 1 | |
| 18 | 100 | |
| 19 | GENOME-WIDE CO-EXPRESSION PATTERNS OF HUMAN CIS-ANTISENSE GENE PAIRS | 3 |
About Jitu W. George
Jitu W. George is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Environmental Chemistry, having authored 19 papers that have together received 378 indexed citations. Recurring topics across this work include Per- and polyfluoroalkyl substances research (4 papers), Reproductive Biology and Fertility (4 papers) and Uterine Myomas and Treatments (4 papers). The work is most often cited by research in Reproductive Medicine (136 citations), Obstetrics and Gynecology (76 citations) and Public Health, Environmental and Occupational Health (110 citations). Jitu W. George has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Leslie L. Heckert, John S. Davis, Guohua Hua, Emilia Przygrodzka, Amanda L. Patterson, Michele R. Plewes, Jose M. Teixeira, Cheng Wang, Lane K. Christenson and David Chesla. Their work appears in journals such as Proceedings of the National Academy of Sciences, Endocrine Reviews and Endocrinology.
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.