Sunit Das

183 papers receiving 4.4k citations

Peers

Sunit Das
Comparison fields: 5 of 152
  • Health Informatics 200
  • Internal Medicine 554
  • Genetics 1.2k
  • Cancer Research 591
  • Developmental Neuroscience 145
Replace Marike L. D. Broekman with:
Marike L. D. Broekman Netherlands
William T. Couldwell United States
Karl‐Ludwig Laugwitz Germany
Gkk Leung Hong Kong
Andrew D. Norden United States
Ricardo J. Komotar United States
Reinier O. Schlingemann Netherlands
Luca Regli Switzerland
David J. Coté United States
Sang Joon Kim South Korea
Sunit Das relative to Marike L. D. Broekman Netherlands Marike L. D. Broekman's profile →
Citations per field
00.5×6.8×
Marike L. D. Broekman · 1×
Citations per year

Countries citing papers authored by Sunit Das

Since Specialization
Citations

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

Fields of papers citing papers by Sunit Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993217
2 2013210
3 1993209
4 2004168
5 2014158
6 2020142
7 2020133
8 1996124
9 2018118
10 2016106
11 2008100
12 200996
13 202189
14 201783
15 201577
16 202173
17 201873
18 200364
19 201963
20 199462

About Sunit Das

Sunit Das is a scholar working on Genetics, Health Informatics, Pulmonary and Respiratory Medicine, Oncology and Developmental Neuroscience, having authored 193 papers that have together received 4.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (78 papers), Brain Metastases and Treatment (51 papers), Meningioma and schwannoma management (26 papers), Lung Cancer Research Studies (24 papers), Advanced MRI Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Cancer Cells and Metastasis (10 papers) and Neuroblastoma Research and Treatments (6 papers). The work is most often cited by research in Health Informatics (200 citations), Internal Medicine (554 citations), Genetics (1.2k citations), Cancer Research (591 citations) and Developmental Neuroscience (145 citations). Sunit Das has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Arjun Sahgal, Philip A. Marsden, Jason Karamchandani, John A. Kessler, Hany Soliman, A.T. Cohen, D. James Cooper, Maya Srikanth, James Perry and Liam G. McCoy. Their work appears in journals such as Journal of Neuro-Oncology, International Journal of Radiation Oncology*Biology*Physics, Neuro-Oncology, Neuro-Oncology Advances and Frontiers in 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026