Amarnath Sharma
- Oncology top 2%
- Cancer Treatment and Pharmacology 8
- Immunology top 5%
- Biosimilars and Bioanalytical Methods 9
- Psoriasis: Treatment and Pathogenesis 6
- Biomaterials top 5%
- Pharmacology top 2%
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- Monoclonal and Polyclonal Antibodies Research 10
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- Statistical Methods in Clinical Trials 7
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- Multiple Myeloma Research and Treatments 6
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- Health Systems, Economic Evaluations, Quality of Life 5
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- Pharmaceutical studies and practices 5
- Co-authors
- Robert M. StraubingerRobert MillhamWilliam J. JuskoJesús Gómez-NavarroAntoni RibasDonghua YinMark J. GoldbergBenito J. Cerimele
- Cited by
- OncologyImmunologyBiomaterials
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Amarnath Sharma
62 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 123
- Oncology 994
- Immunology 605
- Biomaterials 332
- Pharmacology 186
- Endocrinology, Diabetes and Metabolism 293
Countries citing papers authored by Amarnath Sharma
This map shows the geographic impact of Amarnath Sharma'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 Amarnath Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amarnath Sharma more than expected).
Fields of papers citing papers by Amarnath Sharma
This network shows the impact of papers produced by Amarnath Sharma. 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 Amarnath Sharma. The network helps show where Amarnath Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amarnath Sharma, 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 | 10 | |
| 2 | 2020 | 4 | |
| 3 | 2020 | 9 | |
| 4 | 2020 | 3 | |
| 5 | 2018 | 5 | |
| 6 | 2018 | 9 | |
| 7 | 2017 | 19 | |
| 8 | 2007 | 54 | |
| 9 | 2007 | 25 | |
| 10 | 2007 | 11 | |
| 11 | 2006 | 52 | |
| 12 | 2005 | 23 | |
| 13 | 2005 | 45 | |
| 14 | 2005 | 50 | |
| 15 | 2000 | 120 | |
| 16 | 1999 | 71 | |
| 17 | 1999 | 20 | |
| 18 | 1997 | 112 | |
| 19 | 1994 | 52 | |
| 20 | 1993 | 25 |
About Amarnath Sharma
Amarnath Sharma is a scholar working on Statistics and Probability, Immunology and Hematology, having authored 62 papers that have together received 2.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Biosimilars and Bioanalytical Methods (9 papers), Cancer Treatment and Pharmacology (8 papers), Statistical Methods in Clinical Trials (7 papers), Multiple Myeloma Research and Treatments (6 papers), Psoriasis: Treatment and Pathogenesis (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Pharmaceutical studies and practices (5 papers). The work is most often cited by research in Oncology (994 citations), Immunology (605 citations) and Biomaterials (332 citations). Amarnath Sharma has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert M. Straubinger, Robert Millham, William J. Jusko, Jesús Gómez-Navarro, Antoni Ribas, Donghua Yin, Mark J. Goldberg, Benito J. Cerimele, Honghui Zhou and James M. Reuben. Their work appears in journals such as Journal of Clinical Oncology, Blood and Clinical Cancer Research.
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.