Premlata Kumar
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
- Genetics top 10%
- Estrogen and related hormone effects
Papers in
-
- Pregnancy and preeclampsia studies 4
- Genetics 5
- Estrogen and related hormone effects 5
- Co-authors
- Carole R. Mendelson (5 shared papers)Yanmin Luo (3 shared papers)Thomas Ratajczak (5 shared papers)Bryan K. Ward (5 shared papers)Carmen Maria Tudela (2 shared papers)Rodney F. Minchin (5 shared papers)Peter J. Mark (3 shared papers)Amrita Kamat (1 shared paper)
- Journals
- Molecular Endocrinology (5 papers)Cell Stress and Chaperones (2 papers)Biochemical and Biophysical Research Communications (1 paper)Molecular and Cellular Biology (1 paper)Journal of Cancer Research and Clinical Oncology (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Premlata Kumar
12 papers receiving 631 citations
Peers
Comparison fields: 5 of 49
- Obstetrics and Gynecology 131
- Genetics 187
- Cancer Research 67
- Molecular Biology 225
- Health, Toxicology and Mutagenesis 32
Countries citing papers authored by Premlata Kumar
This map shows the geographic impact of Premlata Kumar'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 Premlata Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Premlata Kumar more than expected).
Fields of papers citing papers by Premlata Kumar
This network shows the impact of papers produced by Premlata Kumar. 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 Premlata Kumar. The network helps show where Premlata Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Premlata Kumar, 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 | 2013 | 143 | |
| 2 | 2007 | 127 | |
| 3 | 2001 | 68 | |
| 4 | 2002 | 59 | |
| 5 | 2009 | 59 | |
| 6 | 2011 | 50 | |
| 7 | 2001 | 42 | |
| 8 | 2013 | 31 | |
| 9 | 2014 | 23 | |
| 10 | 2001 | 17 | |
| 11 | 2001 | 16 | |
| 12 | 1997 | 4 |
About Premlata Kumar
Premlata Kumar is a scholar working on Obstetrics and Gynecology, Genetics, Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 12 papers that have together received 639 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (5 papers), Estrogen and related hormone effects (5 papers), Pregnancy and preeclampsia studies (4 papers), Heat shock proteins research (2 papers), Breast Lesions and Carcinomas (1 paper), Breast Cancer Treatment Studies (1 paper), MicroRNA in disease regulation (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Obstetrics and Gynecology (131 citations), Genetics (187 citations), Cancer Research (67 citations), Molecular Biology (225 citations) and Health, Toxicology and Mutagenesis (32 citations). Premlata Kumar has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Carole R. Mendelson, Yanmin Luo, Thomas Ratajczak, Bryan K. Ward, Carmen Maria Tudela, Rodney F. Minchin, Peter J. Mark, Amrita Kamat, Ken L. Chambliss and Susanne M. Mumby. Their work appears in journals such as Molecular Endocrinology, Cell Stress and Chaperones, Biochemical and Biophysical Research Communications, Molecular and Cellular Biology and Journal of Cancer Research and Clinical Oncology.
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.