Sarita Agarwal
- Genetics top 2%
- Hemoglobinopathies and Related Disorders 43
- Genomic variations and chromosomal abnormalities 11
- Hematology top 2%
- Iron Metabolism and Disorders 33
- Blood groups and transfusion 11
- Rheumatology top 5%
- Folate and B Vitamins Research 10
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- Prenatal Screening and Diagnostics 14
- Obstetrics and Gynecology top 10%
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- Genetic Neurodegenerative Diseases 13
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- Mitochondrial Function and Pathology 11
- Co-authors
- Inusha PanigrahiRavindra KumarSrinivasan MuthuswamyShubha R. PhadkeMandakini PradhanAjai SinghAbhishek MishraRakesh K. Srivastava
- Cited by
- GeneticsHematologyRheumatology
- Journals
- SHILAP Revista de lepidopterología (4 papers)Clinical Orthopaedics and Related Research (1 paper)Gene (5 papers)
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Sarita Agarwal
133 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 117
- Genetics 570
- Hematology 542
- Rheumatology 203
- Pediatrics, Perinatology and Child Health 261
- Obstetrics and Gynecology 73
Countries citing papers authored by Sarita Agarwal
This map shows the geographic impact of Sarita Agarwal'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 Sarita Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarita Agarwal more than expected).
Fields of papers citing papers by Sarita Agarwal
This network shows the impact of papers produced by Sarita Agarwal. 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 Sarita Agarwal. The network helps show where Sarita Agarwal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarita Agarwal, 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 | 2022 | 1 | |
| 2 | 2021 | 12 | |
| 3 | 2021 | 4 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 9 | |
| 6 | 2019 | 9 | |
| 7 | 2018 | 2 | |
| 8 | 2017 | 1 | |
| 9 | 2016 | 9 | |
| 10 | 2014 | 4 | |
| 11 | 2014 | 10 | |
| 12 | 2014 | 4 | |
| 13 | 2013 | 11 | |
| 14 | 2012 | 12 | |
| 15 | 2012 | 1 | |
| 16 | Sequence variation in eNOS (Glu298Asp) gene and its impact on coronary artery disease: North Indian Study | 2010 | 2 |
| 17 | 2009 | 5 | |
| 18 | 2007 | 17 | |
| 19 | 2003 | 18 | |
| 20 | 2000 | 32 |
About Sarita Agarwal
Sarita Agarwal is a scholar working on Genetics, Hematology and Pediatrics, Perinatology and Child Health, having authored 136 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (43 papers), Iron Metabolism and Disorders (33 papers), Prenatal Screening and Diagnostics (14 papers), Genetic Neurodegenerative Diseases (13 papers), Genomic variations and chromosomal abnormalities (11 papers), Mitochondrial Function and Pathology (11 papers), Blood groups and transfusion (11 papers) and Folate and B Vitamins Research (10 papers). The work is most often cited by research in Genetics (570 citations), Hematology (542 citations) and Rheumatology (203 citations). Sarita Agarwal has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Inusha Panigrahi, Ravindra Kumar, Srinivasan Muthuswamy, Shubha R. Phadke, Mandakini Pradhan, Ajai Singh, Abhishek Mishra, Rakesh K. Srivastava, Urvashi Gupta and S. M. Natu. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Orthopaedics and Related Research and Gene.
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.