Mohan Suyash

8.1k citations
181 papers · 5.7k · 4 hit papers · h-index 33

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Genetics top 0.5%
    • Glioma Diagnosis and Treatment
    • Virus-based gene therapy research

Papers in

    • Glioma Diagnosis and Treatment 56
    • Radiomics and Machine Learning in Medical Imaging 28
    • MRI in cancer diagnosis 13
    • Radiology practices and education 10
    • Medical Imaging Techniques and Applications 9
    • Advanced MRI Techniques and Applications 8

Mohan Suyash

176 papers receiving 5.5k citations

Mohan Suyash's Hit Papers

Repeated peripheral infusions of anti-EGFRvIII CAR T cells in combination with pembrolizumab show no efficacy in glioblastoma: a phase 1 trial 2024 · 131 citations
1310+3+6Years since publication50010001.5k

Peers

Mohan Suyash
Comparison fields: 5 of 142
  • Health Informatics 259
  • Genetics 1.3k
  • Oncology 1.7k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Neurology 579
Replace Rivka R. Colen with:
Rivka R. Colen United States
Kristen W. Yeom United States
Wenya Linda Bi United States
Isaac Yang United States
Jong Hee Chang South Korea
Reid C. Thompson United States
Rajan Jain United States
Caroline Chung United States
Jason Heth United States
Joshua David Palmer United States
Mohan Suyash relative to Rivka R. Colen United States Rivka R. Colen's profile →
Citations per field
00.5×2×2.7×
Rivka R. Colen · 1×
Citations per year

Countries citing papers authored by Mohan Suyash

Since Specialization
Citations

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

Fields of papers citing papers by Mohan Suyash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A single dose of peripherally infused EGFRvIII-directed CAR T cells mediates antigen loss and induces adaptive resistance in patients with recurrent glioblastoma
Hit paper breakdown →
20171525
2
Single-Cell Analyses Identify Brain Mural Cells Expressing CD19 as Potential Off-Tumor Targets for CAR-T Immunotherapies
Hit paper breakdown →
2020367
3
Federated learning enables big data for rare cancer boundary detection
Hit paper breakdown →
2022251
4 2011237
5 2019189
6 2019151
7 2015138
8
Repeated peripheral infusions of anti-EGFRvIII CAR T cells in combination with pembrolizumab show no efficacy in glioblastoma: a phase 1 trial
Hit paper breakdown →
2024131
9 2018120
10 2020102
11 202078
12 201272
13 201165
14 201765
15 202064
16 202162
17 201960
18 201659
19 202258
20 202158

About Mohan Suyash

Mohan Suyash is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Neurology, Health Informatics and Surgery, having authored 181 papers that have together received 5.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (56 papers), Radiomics and Machine Learning in Medical Imaging (28 papers), MRI in cancer diagnosis (13 papers), Radiology practices and education (10 papers), Medical Imaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (8 papers), Infectious Diseases and Tuberculosis (8 papers) and Artificial Intelligence in Healthcare and Education (8 papers). The work is most often cited by research in Health Informatics (259 citations), Genetics (1.3k citations), Oncology (1.7k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Neurology (579 citations). Mohan Suyash has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Andreas M. Rauschecker, Jeffrey D. Rudie, C. C. Tchoyoson Lim, Amogh N. Hegde, Robert Nick Bryan, Christos A. Davatzikos, Sanjeev Chawla, Narayan Lath, Michael Tran Duong and Harish Poptani. Their work appears in journals such as American Journal of Neuroradiology, Neuro-Oncology, Neuroimaging Clinics of North America, Academic Radiology and British Journal of Radiology.

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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