Sumitra Mohan

1.9k citations
18 papers · 691 · h-index 12

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research
    • Lung Cancer Research Studies

Papers in

    • Cancer Genomics and Diagnostics 15
    • Lung Cancer Research Studies 4
    • Cancer Cells and Metastasis 4
    • Pancreatic and Hepatic Oncology Research 3

Sumitra Mohan

18 papers receiving 686 citations

Peers

Sumitra Mohan
Comparison fields: 5 of 62
  • Cancer Research 389
  • Oncology 329
  • Pulmonary and Respiratory Medicine 196
  • Genetics 55
  • Hematology 57
Replace Joseph T. Ruggiero with:
Joseph T. Ruggiero United States
Julianna Supplee United States
W. Fett Germany
Xiuwen Guan China
María Laura Gutiérrez Spain
Fanny Rolet France
Marcello Ferretti Fanelli Brazil
Tse Hui Lim Singapore
Giovanni Roveroni Italy
Alexandre Harlé France
Sumitra Mohan relative to Joseph T. Ruggiero United States Joseph T. Ruggiero's profile →
Citations per field
00.5×3.4×
Joseph T. Ruggiero · 1×
Citations per year

Countries citing papers authored by Sumitra Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Sumitra Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2014142
2 2011109
3 201588
4 201583
5 201957
6 201945
7 202141
8 202030
9 201726
10 201624
11 201113
12 201612
13 20187
14 20186
15 20194
16 20172
17 20181
18 20161

About Sumitra Mohan

Sumitra Mohan is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Surgery, having authored 18 papers that have together received 691 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (15 papers), Lung Cancer Research Studies (4 papers), Cancer Cells and Metastasis (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Lung Cancer Treatments and Mutations (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Blood properties and coagulation (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (389 citations), Oncology (329 citations), Pulmonary and Respiratory Medicine (196 citations), Genetics (55 citations) and Hematology (57 citations). Sumitra Mohan has collaborated with scholars based in United Kingdom, Austria and Netherlands. Frequent co-authors include Jochen B. Geigl, Thomas Bauernhofer, Peter Ulz, Ellen Heitzer, Michael R. Speicher, Dominic G. Rothwell, Ged Brady, Martina Auer, Caroline Dive and Francesca Chemi. Their work appears in journals such as Journal of Clinical Oncology, Bioinformatics, Advances in experimental medicine and biology, Blood and Journal of Thoracic Oncology.

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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