Amit Sud
Impact in
- Genetics top 10%
- BRCA gene mutations in cancer
- Genetic Associations and Epidemiology
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
- Genetic factors in colorectal cancer
Papers in
-
- Lymphoma Diagnosis and Treatment 10
- Genetic factors in colorectal cancer 6
- Co-authors
- Richard S. Houlston (26 shared papers)Ben Kinnersley (5 shared papers)Kari Hemminki (9 shared papers)Kristina Sundquist (6 shared papers)Asta Försti (6 shared papers)Clare Turnbull (6 shared papers)Hauke Thomsen (2 shared papers)Jan Sundquist (5 shared papers)
- Journals
- npj Precision Oncology (3 papers)International Journal of Cancer (3 papers)Nature Genetics (3 papers)The Lancet Haematology (2 papers)Andrology (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Amit Sud
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Genetics 108
- Pathology and Forensic Medicine 172
- Cancer Research 130
- Genetics 250
- Hematology 84
Countries citing papers authored by Amit Sud
This map shows the geographic impact of Amit Sud'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 Amit Sud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Sud more than expected).
Fields of papers citing papers by Amit Sud
This network shows the impact of papers produced by Amit Sud. 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 Amit Sud. The network helps show where Amit Sud may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Sud, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 254 | |
| 2 | 2018 | 88 | |
| 3 | 2009 | 81 | |
| 4 | 2021 | 75 | |
| 5 | 2017 | 59 | |
| 6 | 2019 | 53 | |
| 7 | 2023 | 49 | |
| 8 | 2023 | 45 | |
| 9 | 2021 | 40 | |
| 10 | 2021 | 39 | |
| 11 | 2019 | 32 | |
| 12 | 2024 | 25 | |
| 13 | 2018 | 25 | |
| 14 | 2015 | 25 | |
| 15 | 2023 | 24 | |
| 16 | 2019 | 22 | |
| 17 | 2024 | 16 | |
| 18 | 2018 | 13 | |
| 19 | 2015 | 12 | |
| 20 | 2016 | 12 |
About Amit Sud
Amit Sud is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Oncology, Genetics and Genetics, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (7 papers), BRCA gene mutations in cancer (6 papers), Genetic factors in colorectal cancer (6 papers), Multiple and Secondary Primary Cancers (5 papers), Cancer Genomics and Diagnostics (5 papers), Viral-associated cancers and disorders (4 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Genetics (108 citations), Pathology and Forensic Medicine (172 citations), Cancer Research (130 citations), Genetics (250 citations) and Hematology (84 citations). Amit Sud has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Richard S. Houlston, Ben Kinnersley, Kari Hemminki, Kristina Sundquist, Asta Försti, Clare Turnbull, Hauke Thomsen, Jan Sundquist, Subhayan Chattopadhyay and Guoqiao Zheng. Their work appears in journals such as npj Precision Oncology, International Journal of Cancer, Nature Genetics, The Lancet Haematology and Andrology.
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.