Hari Singhal
Impact in
- Genetics top 10%
- Estrogen and related hormone effects
- BRCA gene mutations in cancer
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- Breast Cancer Treatment Studies
Papers in
- Genetics 8
- Estrogen and related hormone effects 7
- BRCA gene mutations in cancer 1
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- Inflammatory mediators and NSAID effects 3
- Pharmacogenetics and Drug Metabolism 1
- Co-authors
- Geoffrey L. Greene (5 shared papers)Marianne E. Greene (2 shared papers)Muriel Lainé (2 shared papers)Shihong Ma (1 shared paper)Ya-Fang Chang (1 shared paper)Wayne D. Tilley (1 shared paper)Ganesh V. Raj (1 shared paper)Ryan J. Bourgo (2 shared papers)
- Journals
- Hormone Research in Paediatrics (2 papers)Xenobiotica (1 paper)Oncotarget (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesAustraliaPhilippines
In The Last Decade
Hari Singhal
14 papers receiving 439 citations
Peers
Comparison fields: 5 of 65
- Genetics 236
- Cancer Research 68
- Oncology 123
- Reproductive Medicine 31
- Obstetrics and Gynecology 17
Countries citing papers authored by Hari Singhal
This map shows the geographic impact of Hari Singhal'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 Hari Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hari Singhal more than expected).
Fields of papers citing papers by Hari Singhal
This network shows the impact of papers produced by Hari Singhal. 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 Hari Singhal. The network helps show where Hari Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Hari Singhal, 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 | 2016 | 111 | |
| 2 | 2000 | 82 | |
| 3 | 2019 | 68 | |
| 4 | 2017 | 54 | |
| 5 | 2017 | 32 | |
| 6 | 2019 | 27 | |
| 7 | 2010 | 22 | |
| 8 | 2019 | 19 | |
| 9 | 2021 | 16 | |
| 10 | 1999 | 6 | |
| 11 | 2017 | 5 | |
| 12 | 2016 | 2 | |
| 13 | 1999 | 2 | |
| 14 | 2016 | 1 |
About Hari Singhal
Hari Singhal is a scholar working on Genetics, Pharmacology, Oncology, Reproductive Medicine and Pharmacology, having authored 14 papers that have together received 447 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Inflammatory mediators and NSAID effects (3 papers), Genomics and Chromatin Dynamics (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), CRISPR and Genetic Engineering (1 paper), BRCA gene mutations in cancer (1 paper), Breast Cancer Treatment Studies (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Genetics (236 citations), Cancer Research (68 citations), Oncology (123 citations), Reproductive Medicine (31 citations) and Obstetrics and Gynecology (17 citations). Hari Singhal has collaborated with scholars based in United States, Australia and Philippines. Frequent co-authors include Geoffrey L. Greene, Marianne E. Greene, Muriel Lainé, Shihong Ma, Ya-Fang Chang, Wayne D. Tilley, Ganesh V. Raj, Ryan J. Bourgo, Theresa E. Hickey and Gerard A. Tarulli. Their work appears in journals such as Hormone Research in Paediatrics, Xenobiotica, Oncotarget, The Journal of Clinical Endocrinology & Metabolism and Science Advances.
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.