Garima Agrawal
- Radiology, Nuclear Medicine and Imaging top 5%
- Cancer Research
- Pathology and Forensic Medicine
- Surgery
- Oncology
- Co-authors
- Orhan NalcioğluMin‐Ying SuRita S. MehtaJeon‐Hor ChenPhilip M. CarpenterStephen A. FeigHon J. YuSi‐Wa Chan
- Topics
- MRI in cancer diagnosis (5 papers)Gynecological conditions and treatments (3 papers)Breast Cancer Treatment Studies (3 papers)
- Partner nations
- United StatesIndiaTaiwan
In The Last Decade
Garima Agrawal
23 papers receiving 562 citations
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 279
- Cancer Research 149
- Pathology and Forensic Medicine 114
- Surgery 111
- Oncology 83
Countries citing papers authored by Garima Agrawal
This map shows the geographic impact of Garima 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 Garima Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garima Agrawal more than expected).
Fields of papers citing papers by Garima Agrawal
This network shows the impact of papers produced by Garima 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 Garima Agrawal. The network helps show where Garima Agrawal may publish in the future.
Co-authorship network of co-authors of Garima Agrawal
This figure shows the co-authorship network connecting the top 25 collaborators of Garima Agrawal. A scholar is included among the top collaborators of Garima Agrawal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Garima Agrawal. Garima Agrawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 20 | |
| 9 | 1 | |
| 10 | 35 | |
| 11 | 1 | |
| 12 | 38 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 40 | |
| 16 | 110 | |
| 17 | Inter- and Intra-individual polymorphism in mtDNA control region: A preliminary report on mtDNA haplotypes, inheritance and segregation of heteroplasmy in 10 maternal pedigrees | 1 |
| 18 | 90 | |
| 19 | Extent of heterogeneity in the poly-nucleotide stretches of MtDNA hypervariable regions in the Indian population | 2 |
| 20 | 143 |
About Garima Agrawal
Garima Agrawal is a scholar working on Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging and Clinical Biochemistry, having authored 26 papers that have together received 580 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (5 papers), Gynecological conditions and treatments (3 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (279 citations), Cancer Research (149 citations) and Pathology and Forensic Medicine (114 citations). Garima Agrawal has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Orhan Nalcioğlu, Min‐Ying Su, Rita S. Mehta, Jeon‐Hor Chen, Philip M. Carpenter, Stephen A. Feig, Hon J. Yu, Si‐Wa Chan, Ila Sethi and Muqing Lin. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.
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.