Sumitra Shantakumar

59 papers receiving 858 citations

Peers

Sumitra Shantakumar
Comparison fields: 5 of 93
  • Health, Toxicology and Mutagenesis 132
  • Internal Medicine 26
  • Oncology 183
  • Cancer Research 96
  • Hepatology 40
Replace İdris Yücel with:
İdris Yücel Türkiye
Hans Starkhammar Sweden
Eleanor Kane United Kingdom
Nicola Rotolo Italy
François Glowacki France
Yunfei Cao China
Jens B. Knudsen Denmark
Shuchi Gulati United States
Tzeon‐Jye Chiou Taiwan
Silke Kropp Germany
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Citations per year

Countries citing papers authored by Sumitra Shantakumar

Since Specialization
Citations

This map shows the geographic impact of Sumitra Shantakumar'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 Sumitra Shantakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumitra Shantakumar more than expected).

Fields of papers citing papers by Sumitra Shantakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sumitra Shantakumar. 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 Sumitra Shantakumar. The network helps show where Sumitra Shantakumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Sumitra Shantakumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sumitra Shantakumar Line = papers co-authored together Sumitra Shantakumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200484
2 201582
3 200662
4 201162
5 201442
6 201341
7 200940
8 200738
9 201636
10 200734
11 201833
12 201327
13 200826
14 200726
15 201622
16 201818
17 202217
18 201717
19 201615
20 201210

About Sumitra Shantakumar

Sumitra Shantakumar is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Physiology and Cancer Research, having authored 61 papers that have together received 891 indexed citations. Recurring topics across this work include Cancer Risks and Factors (11 papers), Herpesvirus Infections and Treatments (7 papers), Asthma and respiratory diseases (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Estrogen and related hormone effects (3 papers), Allergic Rhinitis and Sensitization (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (132 citations), Internal Medicine (26 citations), Oncology (183 citations), Cancer Research (96 citations) and Hepatology (40 citations). Sumitra Shantakumar has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Marilie D. Gammon, Alfred I. Neugut, Susan L. Teitelbaum, Regina M. Santella, Mary Beth Terry, Julie A. Britton, Sybil M. Eng, Robert C. Millikan, Dimitri Bennett and Mia M. Gaudet. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Current Drug Delivery, Infectious Diseases and Therapy, Breast Cancer Research and Treatment and American Journal of Epidemiology.

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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