Shipra Agarwal
Impact in
-
- Thyroid Cancer Diagnosis and Treatment
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
- Surgery 48
- Adrenal and Paraganglionic Tumors 10
- Head and Neck Anomalies 9
-
- Thyroid Cancer Diagnosis and Treatment 34
- Co-authors
- Chitra Sarkar (11 shared papers)Deepali Jain (14 shared papers)Chan Kwon Jung (8 shared papers)Mehar Chand Sharma (16 shared papers)Vaishali Suri (9 shared papers)Andrey Bychkov (7 shared papers)Sandeep Mathur (12 shared papers)Madhavi Tripathi (12 shared papers)
- Journals
- Cytopathology (7 papers)Endocrine Pathology (6 papers)Acta Cytologica (3 papers)Clinical Neurology and Neurosurgery (2 papers)Pathology (2 papers)
- Partner nations
- IndiaJapanSouth Korea
In The Last Decade
Shipra Agarwal
151 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Endocrinology, Diabetes and Metabolism 370
- Genetics 193
- Nephrology 105
- Oncology 280
- Surgery 357
Countries citing papers authored by Shipra Agarwal
This map shows the geographic impact of Shipra 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 Shipra Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shipra Agarwal more than expected).
Fields of papers citing papers by Shipra Agarwal
This network shows the impact of papers produced by Shipra 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 Shipra Agarwal. The network helps show where Shipra Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Shipra 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
Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 99 | |
| 2 | 2021 | 79 | |
| 3 | 2021 | 55 | |
| 4 | 2005 | 54 | |
| 5 | 2018 | 44 | |
| 6 | Chemistry and Pharmacology of Rhubarb ( Rheum species)— A Review | 2001 | 41 |
| 7 | 2011 | 41 | |
| 8 | 2022 | 33 | |
| 9 | 2011 | 32 | |
| 10 | 2011 | 31 | |
| 11 | 2007 | 29 | |
| 12 | 2012 | 28 | |
| 13 | 2017 | 26 | |
| 14 | 2006 | 24 | |
| 15 | 2018 | 22 | |
| 16 | 2011 | 22 | |
| 17 | 2019 | 21 | |
| 18 | 2015 | 20 | |
| 19 | 2017 | 20 | |
| 20 | 2011 | 20 |
About Shipra Agarwal
Shipra Agarwal is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Oncology, Epidemiology and Nephrology, having authored 171 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (34 papers), Parathyroid Disorders and Treatments (17 papers), Adrenal and Paraganglionic Tumors (10 papers), Head and Neck Anomalies (9 papers), Glioma Diagnosis and Treatment (8 papers), Cardiac tumors and thrombi (7 papers), Neuroblastoma Research and Treatments (7 papers) and Neuroendocrine Tumor Research Advances (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (370 citations), Genetics (193 citations), Nephrology (105 citations), Oncology (280 citations) and Surgery (357 citations). Shipra Agarwal has collaborated with scholars based in India, Japan and South Korea. Frequent co-authors include Chitra Sarkar, Deepali Jain, Chan Kwon Jung, Mehar Chand Sharma, Vaishali Suri, Andrey Bychkov, Sandeep Mathur, Madhavi Tripathi, Sanjana Ballal and Chandrasekhar Bal. Their work appears in journals such as Cytopathology, Endocrine Pathology, Acta Cytologica, Clinical Neurology and Neurosurgery and Pathology.
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.