Sunit Das

208 papers receiving 6.1k citations

Sunit Das's Hit Papers

The multilayered transcriptional architecture of glioblastoma ecosystems 2025 · 48 citations
480+1+3Years since publication50100150200

Peers

Sunit Das
Comparison fields: 5 of 151
  • Genetics 1.9k
  • Health Informatics 314
  • Developmental Neuroscience 126
  • Cancer Research 401
  • Sensory Systems 146
Replace Sun Ha Paek with:
Sun Ha Paek South Korea
Karin M. Muraszko United States
Kevin Petrecca Canada
Paul Graham Fisher United States
Pim J. French Netherlands
Samuel Henry Cheshier United States
Kristin A. Waite United States
Stefan Rutkowski Germany
Daphne Adele Haas-Kogan United States
David J. Pisapia United States
Sunit Das relative to Sun Ha Paek South Korea Sun Ha Paek's profile →
Citations per field
00.5×2×4×6×8.5×
Sun Ha Paek · 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 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017314
2 2013223
3
Gradient of Developmental and Injury Response transcriptional states defines functional vulnerabilities underpinning glioblastoma heterogeneity
Hit paper breakdown →
2021206
4 2021188
5 2004182
6 2020181
7 2020174
8 2014172
9 2017166
10 2021163
11 2018156
12 2021130
13 2018127
14 2016125
15 2017110
16 2008105
17 2009102
18 201789
19 202187
20 202186

About Sunit Das

Sunit Das is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Neurology, having authored 218 papers that have together received 6.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (80 papers), Brain Metastases and Treatment (39 papers), Meningioma and schwannoma management (9 papers), Ethics and bioethics in healthcare (7 papers), Mass Spectrometry Techniques and Applications (7 papers), Advanced Radiotherapy Techniques (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Artificial Intelligence in Healthcare and Education (5 papers). The work is most often cited by research in Genetics (1.9k citations), Health Informatics (314 citations), Developmental Neuroscience (126 citations), Cancer Research (401 citations) and Sensory Systems (146 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, Vinyas Harish, Felipe Morgado, Liam G. McCoy, Maya Srikanth and James Perry. Their work appears in journals such as Journal of Neuro-Oncology, International Journal of Radiation Oncology*Biology*Physics, Frontiers in Oncology, Neuro-Oncology and Neuro-Oncology Advances.

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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