Amit Sud

4.4k total citations
37 papers, 962 citations indexed

About

Amit Sud is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Amit Sud has authored 37 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pathology and Forensic Medicine, 12 papers in Oncology and 12 papers in Genetics. Recurrent topics in Amit Sud's work include Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (7 papers) and BRCA gene mutations in cancer (7 papers). Amit Sud is often cited by papers focused on Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (7 papers) and BRCA gene mutations in cancer (7 papers). Amit Sud collaborates with scholars based in United Kingdom, United States and Germany. Amit Sud's co-authors include Richard S. Houlston, Ben Kinnersley, Clare Turnbull, Kari Hemminki, Kristina Sundquist, Asta Försti, Hauke Thomsen, Jan Sundquist, Subhayan Chattopadhyay and Aroon D. Hingorani and has published in prestigious journals such as The Lancet, Nature Communications and Nature Genetics.

In The Last Decade

Amit Sud

36 papers receiving 955 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amit Sud United Kingdom 15 361 285 244 211 161 37 962
Seon‐Hee Yim South Korea 20 457 1.3× 282 1.0× 288 1.2× 109 0.5× 226 1.4× 41 1.2k
S Bose United States 15 773 2.1× 289 1.0× 335 1.4× 248 1.2× 237 1.5× 26 1.4k
Melissa C. Larson United States 18 370 1.0× 181 0.6× 354 1.5× 206 1.0× 177 1.1× 77 1.0k
Liam Grogan Ireland 18 281 0.8× 143 0.5× 424 1.7× 253 1.2× 128 0.8× 66 978
Sancha Martin United Kingdom 5 620 1.7× 143 0.5× 336 1.4× 129 0.6× 506 3.1× 8 1.2k
Ann‐Christine Syvänen Sweden 15 404 1.1× 227 0.8× 329 1.3× 110 0.5× 80 0.5× 22 1.6k
Robert Woolas United Kingdom 20 401 1.1× 250 0.9× 275 1.1× 142 0.7× 211 1.3× 47 1.8k
Yang Cao China 19 277 0.8× 166 0.6× 638 2.6× 240 1.1× 55 0.3× 79 1.1k
Avinash Gupta United Kingdom 17 488 1.4× 165 0.6× 802 3.3× 80 0.4× 115 0.7× 61 1.3k
Corinne Rusterholz Switzerland 18 358 1.0× 58 0.2× 224 0.9× 215 1.0× 236 1.5× 39 1.6k

Countries citing papers authored by Amit Sud

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Amit Sud

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Sud. A scholar is included among the top collaborators of Amit Sud 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 Amit Sud. Amit Sud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Went, Molly, C Wood, Amit Sud, et al.. (2025). Mendelian randomization of immune cell phenotypes to discover potential drug targets for B-cell malignancy. Blood Cancer Journal. 15(1). 62–62.
2.
Went, Molly, Amit Sud, Philip Law, et al.. (2024). Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers. Nature Communications. 15(1). 2637–2637. 11 indexed citations
3.
Sud, Amit, Andrew Everall, Daniel Chubb, et al.. (2024). Genetic landscape of interval and screen detected breast cancer. npj Precision Oncology. 8(1). 122–122. 1 indexed citations
4.
Sud, Amit, Erin M. Parry, & Catherine J. Wu. (2024). The molecular map of CLL and Richter's syndrome. Seminars in Hematology. 61(2). 73–82. 3 indexed citations
5.
Kinnersley, Ben, Amit Sud, Andrew Everall, et al.. (2024). Analysis of 10,478 cancer genomes identifies candidate driver genes and opportunities for precision oncology. Nature Genetics. 56(9). 1868–1877. 19 indexed citations
6.
Huntley, Catherine, Bethany Torr, Amit Sud, et al.. (2023). The impact of risk stratification by polygenic risk and age on breast cancer screening in women aged 40–49 years: a modelling study. The Lancet. 402. S54–S54. 2 indexed citations
7.
Sud, Amit, Rachel Horton, Aroon D. Hingorani, et al.. (2023). Realistic expectations are key to realising the benefits of polygenic scores. BMJ. 380. e073149–e073149. 40 indexed citations
8.
Vickers, Andrew J., Amit Sud, Jonine L. Bernstein, & Richard S. Houlston. (2022). Polygenic risk scores to stratify cancer screening should predict mortality not incidence. npj Precision Oncology. 6(1). 32–32. 4 indexed citations
9.
Sud, Amit, Clare Turnbull, & Richard S. Houlston. (2021). Will polygenic risk scores for cancer ever be clinically useful?. npj Precision Oncology. 5(1). 40–40. 39 indexed citations
10.
Bird, Sarah, Robyn Shea, Radovan Sašo, et al.. (2021). Response to first vaccination against SARS-CoV-2 in patients with multiple myeloma. The Lancet Haematology. 8(6). e389–e392. 75 indexed citations
11.
Loveday, Chey, Amit Sud, Kevin Litchfield, et al.. (2019). Runs of homozygosity and testicular cancer risk. Andrology. 7(4). 555–564. 4 indexed citations
12.
Went, Molly, Amit Sud, Ni Li, et al.. (2019). Regions of homozygosity as risk factors for multiple myeloma. Annals of Human Genetics. 83(4). 231–238. 3 indexed citations
13.
Sud, Amit, Subhayan Chattopadhyay, Hauke Thomsen, et al.. (2019). Analysis of 153 115 patients with hematological malignancies refines the spectrum of familial risk. Blood. 134(12). 960–969. 49 indexed citations
14.
Chattopadhyay, Subhayan, Guoqiao Zheng, Amit Sud, et al.. (2018). Risk of second primary cancer following myeloid neoplasia and risk of myeloid neoplasia as second primary cancer: a nationwide, observational follow up study in Sweden. The Lancet Haematology. 5(8). e368–e377. 12 indexed citations
15.
Turnbull, Clare, Amit Sud, & Richard S. Houlston. (2018). Cancer genetics, precision prevention and a call to action. Nature Genetics. 50(9). 1212–1218. 84 indexed citations
16.
Kinnersley, Ben, Amit Sud, Elizabeth A. Coker, et al.. (2018). Leveraging Human Genetics to Guide Cancer Drug Development. JCO Clinical Cancer Informatics. 2(2). 1–11. 4 indexed citations
17.
Sud, Amit, Ben Kinnersley, & Richard S. Houlston. (2017). Genome-wide association studies of cancer: current insights and future perspectives. Nature reviews. Cancer. 17(11). 692–704. 238 indexed citations
18.
Sud, Amit & Claire Dearden. (2017). T-cell Prolymphocytic Leukemia. Hematology/Oncology Clinics of North America. 31(2). 273–283. 11 indexed citations
19.
Sud, Amit, Rosie Cooke, Anthony J. Swerdlow, & Richard S. Houlston. (2015). Genome-wide homozygosity signature and risk of Hodgkin lymphoma. Scientific Reports. 5(1). 14315–14315. 9 indexed citations
20.
Hanson, Dan, Philip Murray, Amit Sud, et al.. (2009). The Primordial Growth Disorder 3-M Syndrome Connects Ubiquitination to the Cytoskeletal Adaptor OBSL1. The American Journal of Human Genetics. 84(6). 801–806. 81 indexed citations

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.

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