S. Agrawal
Impact in
- Immunology top 5%
- Reproductive System and Pregnancy
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Transplantation top 5%
Papers in
- Immunology 24
- Reproductive System and Pregnancy 16
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 5
-
- Ectopic Pregnancy Diagnosis and Management 5
- Pregnancy and Medication Impact 4
- Co-authors
- Rehan M. Faridi (6 shared papers)S. Naik (4 shared papers)Faisal Ali Anwarali Khan (4 shared papers)Piyush Tripathi (2 shared papers)Ata Abbas (3 shared papers)Avinash Agarwal (1 shared paper)Farah Parveen (5 shared papers)Priya Tripathi (1 shared paper)
In The Last Decade
S. Agrawal
45 papers receiving 921 citations
Peers
Comparison fields: 5 of 79
- Immunology 572
- Transplantation 59
- Reproductive Medicine 177
- Obstetrics and Gynecology 132
- Hematology 117
Countries citing papers authored by S. Agrawal
This map shows the geographic impact of S. Agrawal'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 S. Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Agrawal more than expected).
Fields of papers citing papers by S. Agrawal
This network shows the impact of papers produced by S. Agrawal. 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 S. Agrawal. The network helps show where S. Agrawal may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Agrawal, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 111 | |
| 2 | 2004 | 87 | |
| 3 | 2010 | 78 | |
| 4 | 2004 | 63 | |
| 5 | 2006 | 51 | |
| 6 | 2009 | 46 | |
| 7 | 2014 | 45 | |
| 8 | 1997 | 43 | |
| 9 | 2011 | 41 | |
| 10 | 2008 | 38 | |
| 11 | 2009 | 35 | |
| 12 | 2013 | 34 | |
| 13 | 2009 | 33 | |
| 14 | 2012 | 27 | |
| 15 | 2011 | 21 | |
| 16 | 1998 | 20 | |
| 17 | 1995 | 19 | |
| 18 | Angiotensin converting enzyme gene polymorphism in Indian children with steroid sensitive nephrotic syndrome. | 2005 | 16 |
| 19 | 2014 | 16 | |
| 20 | 2017 | 15 |
About S. Agrawal
S. Agrawal is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Molecular Biology, Reproductive Medicine and Surgery, having authored 46 papers that have together received 957 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (16 papers), Endometriosis Research and Treatment (7 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Ectopic Pregnancy Diagnosis and Management (5 papers), Renal Transplantation Outcomes and Treatments (5 papers), Pregnancy and Medication Impact (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Immunology (572 citations), Transplantation (59 citations), Reproductive Medicine (177 citations), Obstetrics and Gynecology (132 citations) and Hematology (117 citations). S. Agrawal has collaborated with scholars based in India, Australia and Canada. Frequent co-authors include Rehan M. Faridi, S. Naik, Faisal Ali Anwarali Khan, Piyush Tripathi, Ata Abbas, Avinash Agarwal, Farah Parveen, Priya Tripathi, Anil K. Rastogi and Neeloo Singh. Their work appears in journals such as Journal of Forensic Sciences, Human Reproduction, Bone Marrow Transplantation, Human Immunology and Molecular Human Reproduction.
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.