Rupasri Ain
Impact in
- Obstetrics and Gynecology top 1%
- Pregnancy and preeclampsia studies
- Immunology top 5%
- Reproductive System and Pregnancy
Papers in
-
- RNA Research and Splicing 4
- RNA modifications and cancer 4
-
- Pregnancy and preeclampsia studies 18
- Co-authors
- Michael J. Soares (13 shared papers)Guoli Dai (2 shared papers)Toshihiro Konno (3 shared papers)Longjiang Shao (1 shared paper)Joseph S. Tash (2 shared papers)Alan R. Godwin (1 shared paper)Judy H. Dunmore (1 shared paper)Polani B. Seshagiri (3 shared papers)
- Journals
- Scientific Reports (3 papers)Placenta (3 papers)Life Science Alliance (2 papers)The FASEB Journal (2 papers)Molecular and Cellular Endocrinology (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Rupasri Ain
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Obstetrics and Gynecology 558
- Immunology 438
- Pediatrics, Perinatology and Child Health 384
- Reproductive Medicine 157
- Cancer Research 196
Countries citing papers authored by Rupasri Ain
This map shows the geographic impact of Rupasri Ain'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 Rupasri Ain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupasri Ain more than expected).
Fields of papers citing papers by Rupasri Ain
This network shows the impact of papers produced by Rupasri Ain. 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 Rupasri Ain. The network helps show where Rupasri Ain may publish in the future.
Co-authors
The 25 scholars most cited alongside Rupasri Ain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 207 | |
| 2 | 2002 | 101 | |
| 3 | 2005 | 100 | |
| 4 | 2018 | 80 | |
| 5 | 2004 | 77 | |
| 6 | 2004 | 56 | |
| 7 | 2005 | 53 | |
| 8 | 2017 | 44 | |
| 9 | 2003 | 41 | |
| 10 | 2006 | 39 | |
| 11 | 1999 | 38 | |
| 12 | 2015 | 37 | |
| 13 | 2003 | 33 | |
| 14 | 2009 | 20 | |
| 15 | 2018 | 19 | |
| 16 | 1997 | 18 | |
| 17 | 2020 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2017 | 17 | |
| 20 | 2019 | 17 |
About Rupasri Ain
Rupasri Ain is a scholar working on Molecular Biology, Obstetrics and Gynecology, Immunology, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (18 papers), Reproductive System and Pregnancy (13 papers), Birth, Development, and Health (8 papers), MicroRNA in disease regulation (7 papers), Reproductive Biology and Fertility (5 papers), RNA Research and Splicing (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Obstetrics and Gynecology (558 citations), Immunology (438 citations), Pediatrics, Perinatology and Child Health (384 citations), Reproductive Medicine (157 citations) and Cancer Research (196 citations). Rupasri Ain has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Michael J. Soares, Guoli Dai, Toshihiro Konno, Longjiang Shao, Joseph S. Tash, Alan R. Godwin, Judy H. Dunmore, Polani B. Seshagiri, S. M. Khorshed Alam and Shreya Das. Their work appears in journals such as Scientific Reports, Placenta, Life Science Alliance, The FASEB Journal and Molecular and Cellular 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.