Sushant Patkar

859 total citations
12 papers, 153 citations indexed

About

Sushant Patkar is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Sushant Patkar has authored 12 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Sushant Patkar's work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Sushant Patkar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Sushant Patkar collaborates with scholars based in United States, Israel and South Korea. Sushant Patkar's co-authors include Eytan Ruppin, Shelly Kalaora, Gal Yagel, Yishai Levin, Yardena Samuels, Michal Lotem, Polina Greenberg, Roni Oren, Joo Sang Lee and Michal Alon and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Sushant Patkar

12 papers receiving 153 citations

Peers

Sushant Patkar

ONCOL

IMMUN

PRM

Christopher S. Koivisto United States

Charlotte Aaquist Haslund Denmark

Sanam Peyvandi Switzerland

Jasmine A. McQuerry United States

Andrew Mant Australia

Joanne Leung Canada

Shuangyi Li China

Omar Saavedra Spain

Jason Laskey United States

Anna Karlsson Sweden

Christopher S. Koivisto United States

Sushant Patkar

77 ×1.0

ONCOL

89 ×1.1

45 ×0.8

IMMUN

21 ×0.7

PRM

30 ×2.1

Citations per year, relative to Sushant Patkar Sushant Patkar (= 1×) peers Christopher S. Koivisto

Countries citing papers authored by Sushant Patkar

Since Specialization

Citations

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

Fields of papers citing papers by Sushant Patkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushant Patkar

This figure shows the co-authorship network connecting the top 25 collaborators of Sushant Patkar. A scholar is included among the top collaborators of Sushant Patkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sushant Patkar. Sushant Patkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Patkar, Sushant, Stephanie A. Harmon, Christina Mazcko, et al.. (2024). Large-Scale Comparative Analysis of Canine and Human Osteosarcomas Uncovers Conserved Clinically Relevant Tumor Microenvironment Subtypes. Clinical Cancer Research. 30(24). 5630–5642. 6 indexed citations

Patkar, Sushant, et al.. (2024). Identifying digital pathology imaging based biomarkers of checkpoint inhibitor response in non-small cell lung cancer.. Journal of Clinical Oncology. 42(16_suppl). 8530–8530. 1 indexed citations

Zhang, Haoyue, Sushant Patkar, Rosina T. Lis, et al.. (2024). Masked Image Modeling Meets Self-Distillation: A Transformer-Based Prostate Gland Segmentation Framework for Pathology Slides. Cancers. 16(23). 3897–3897. 1 indexed citations

Patkar, Sushant, Rachel Chernet, Prashanth Ashok Kumar, et al.. (2024). Predicting the tumor microenvironment composition and immunotherapy response in non-small cell lung cancer from digital histopathology images. npj Precision Oncology. 8(1). 280–280. 7 indexed citations

Wang, Binbin, Matthew Nagy, Sushant Patkar, et al.. (2024). A machine learning model reveals expansive downregulation of ligand-receptor interactions that enhance lymphocyte infiltration in melanoma with developed resistance to immune checkpoint blockade. Nature Communications. 15(1). 8867–8867. 7 indexed citations

Patkar, Sushant, Rachel Chernet, Ola El‐Zammar, et al.. (2024). 77 Predicting the tumor microenvironment molecular composition to assess immunotherapy efficacy in non-small cell lung cancer from digital histopathology images. Regular and Young Investigator Award Abstracts. A84–A85. 1 indexed citations

Silver, K., Sushant Patkar, Christina Mazcko, et al.. (2023). Patterns of metastatic progression and association with clinical outcomes in canine osteosarcoma: A necropsy study of 83 dogs. Veterinary and Comparative Oncology. 21(4). 646–655. 7 indexed citations

Patkar, Sushant, Jessica A. Beck, Stephanie A. Harmon, et al.. (2022). Deep Domain Adversarial Learning for Species-Agnostic Classification of Histologic Subtypes of Osteosarcoma. American Journal Of Pathology. 193(1). 60–72. 3 indexed citations

Kalaora, Shelly, Joo Sang Lee, Eilon Barnea, et al.. (2020). Immunoproteasome expression is associated with better prognosis and response to checkpoint therapies in melanoma. Nature Communications. 11(1). 896–896. 106 indexed citations

10.

Chan, Anna, et al.. (2020). User Attitudes On Direct-to-Consumer Genetic Testing. 120–138. 4 indexed citations

11.

Patkar, Sushant & Roded Sharan. (2018). An optimization framework for network annotation. Bioinformatics. 34(13). i502–i508. 1 indexed citations

12.

Patkar, Sushant, Assaf Magen, Roded Sharan, & Sridhar Hannenhalli. (2017). A network diffusion approach to inferring sample-specific function reveals functional changes associated with breast cancer. PLoS Computational Biology. 13(11). e1005793–e1005793. 9 indexed citations

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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