Nitin Sukumar

20 papers receiving 541 citations

Nitin Sukumar's Hit Papers

Early Assessment of Lung Cancer Immunotherapy Response via Circulating Tumor DNA 2018 · 327 citations
3270+2+5Years since publication100200300

Peers

Nitin Sukumar
Comparison fields: 5 of 61
  • Cancer Research 197
  • Oncology 172
  • Emergency Medicine 49
  • Pulmonary and Respiratory Medicine 150
  • Pathology and Forensic Medicine 30
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Nitin Sukumar relative to Paul Glen United Kingdom Paul Glen's profile →
Citations per field
00.5×
Paul Glen · 1×
Citations per year

Countries citing papers authored by Nitin Sukumar

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Sukumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nitin Sukumar, 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 Nitin Sukumar Line = papers co-authored together Nitin Sukumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Early Assessment of Lung Cancer Immunotherapy Response via Circulating Tumor DNA
Hit paper breakdown →
2018327
2 201927
3 201722
4 201721
5 201918
6 201916
7 201616
8 201912
9 201911
10 201811
11 201911
12 201810
13 20179
14 20197
15 20186
16 20196
17 20206
18 20185
19 20174
20 20172

About Nitin Sukumar

Nitin Sukumar is a scholar working on Emergency Medicine, Oncology, Epidemiology, Public Health, Environmental and Occupational Health and Psychiatry and Mental health, having authored 20 papers that have together received 547 indexed citations. Recurring topics across this work include Trauma and Emergency Care Studies (5 papers), Epilepsy research and treatment (2 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Opioid Use Disorder Treatment (1 paper), Immunotherapy and Immune Responses (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Cancer Research (197 citations), Oncology (172 citations), Emergency Medicine (49 citations), Pulmonary and Respiratory Medicine (150 citations) and Pathology and Forensic Medicine (30 citations). Nitin Sukumar has collaborated with scholars based in United States, Norway and Uganda. Frequent co-authors include Yanhong Deng, Sarah B. Goldberg, Nicholas Carriero, Roxanne Nemati, Daniel Zelterman, Angela Lee, Roy H. Decker, Adam J. Kole, Jimmitti Teysir and Daniel J. Boffa. Their work appears in journals such as The Journal of Trauma: Injury, Infection, and Critical Care, Journal of the American College of Surgeons, Journal of Cardiothoracic and Vascular Anesthesia, Epilepsy & Behavior and Journal of Orthopaedic Trauma.

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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