Atul Deshpande

4.2k total citations
34 papers, 2.8k citations indexed

About

Atul Deshpande is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Atul Deshpande has authored 34 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Physiology and 5 papers in Oncology. Recurrent topics in Atul Deshpande's work include Single-cell and spatial transcriptomics (7 papers), Alzheimer's disease research and treatments (7 papers) and DNA Repair Mechanisms (4 papers). Atul Deshpande is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Alzheimer's disease research and treatments (7 papers) and DNA Repair Mechanisms (4 papers). Atul Deshpande collaborates with scholars based in United States, Portugal and Bulgaria. Atul Deshpande's co-authors include Carol S. Newlon, Jorge Busciglio, Charles Glabe, Edwin H. Goodwin, Bruce E. Lehnert, Erene Mina, Susan M. Bailey, Babetta L. Marrone, Paula I. Moreira and Rosa Resende and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Atul Deshpande

33 papers receiving 2.8k citations

Peers

Atul Deshpande

PHYSI

RNMI

PRM

CMN

Shinobu Kitazume Japan

Deryk Loo United States

David A. Sanan United States

Austin J. Yang United States

Jay C. Strum United States

Thomas Herget Germany

Bin Fang United States

Jason M. Held United States

Victoria C. Stewart United Kingdom

Richard Kolesnick United States

Shinobu Kitazume Japan

Atul Deshpande

2.4k ×1.5

916 ×0.9

PHYSI

259 ×0.6

RNMI

155 ×0.4

PRM

125 ×0.4

CMN

Citations per year, relative to Atul Deshpande Atul Deshpande (= 1×) peers Shinobu Kitazume

Countries citing papers authored by Atul Deshpande

Since Specialization

Citations

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

Fields of papers citing papers by Atul Deshpande

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atul Deshpande

This figure shows the co-authorship network connecting the top 25 collaborators of Atul Deshpande. A scholar is included among the top collaborators of Atul Deshpande 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 Atul Deshpande. Atul Deshpande is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Hanwen, Atul Deshpande, Ravi Varadhan, et al.. (2024). Virtual patient analysis identifies strategies to improve the performance of predictive biomarkers for PD-1 blockade. Proceedings of the National Academy of Sciences. 121(45). e2410911121–e2410911121. 4 indexed citations

Grasset, Eloïse M., Atul Deshpande, Jae W. Lee, et al.. (2024). Mapping the breast tumor microenvironment: proximity analysis reveals spatial relationships between macrophage subtypes and metastasis-initiating cancer cells. Oncogene. 43(39). 2927–2937. 2 indexed citations

Deshpande, Atul, Hanwen Wang, Haoyang Mi, et al.. (2024). Integration of Clinical Trial Spatial Multiomics Analysis and Virtual Clinical Trials Enables Immunotherapy Response Prediction and Biomarker Discovery. Cancer Research. 84(16). 2734–2748. 13 indexed citations

Mi, Haoyang, Shamilene Sivagnanam, Won Jin Ho, et al.. (2024). Computational methods and biomarker discovery strategies for spatial proteomics: a review in immuno-oncology. Briefings in Bioinformatics. 25(5). 12 indexed citations

Zhang, Shuming, Long Yuan, Ludmila Danilova, et al.. (2023). Spatial transcriptomics analysis of neoadjuvant cabozantinib and nivolumab in advanced hepatocellular carcinoma identifies independent mechanisms of resistance and recurrence. Genome Medicine. 15(1). 72–72. 56 indexed citations

Fertig, Elana J., et al.. (2022). Generating colorblind-friendly scatter plots for single-cell data. eLife. 11. 4 indexed citations

Davis-Marcisak, Emily F., Atul Deshpande, Genevieve Stein-O’Brien, et al.. (2021). From bench to bedside: Single-cell analysis for cancer immunotherapy. Cancer Cell. 39(8). 1062–1080. 64 indexed citations

Gong, Chang, Hanwen Wang, Emily F. Davis-Marcisak, et al.. (2021). Integrating single cell sequencing with a spatial quantitative systems pharmacology model spQSP for personalized prediction of triple-negative breast cancer immunotherapy response. SHILAP Revista de lepidopterología. 1-2. 100002–100002. 22 indexed citations

Jamieson, Kevin, Sumeet Katariya, Atul Deshpande, & Robert D. Nowak. (2015). Sparse Dueling Bandits. International Conference on Artificial Intelligence and Statistics. 416–424. 7 indexed citations

10.

Balakrishnan, J., et al.. (2013). MEMS Sensor Assisted Terrestrial Vehicular Navigation on Portable Devices. 1084–1091. 1 indexed citations

11.

Roychaudhuri, Robin, Mingfeng Yang, Atul Deshpande, et al.. (2012). C-Terminal Turn Stability Determines Assembly Differences between Aβ40 and Aβ42. Journal of Molecular Biology. 425(2). 292–308. 68 indexed citations

12.

Pigino, Gustavo, Gerardo Morfini, Yuka Atagi, et al.. (2009). Disruption of fast axonal transport is a pathogenic mechanism for intraneuronal amyloid beta. Proceedings of the National Academy of Sciences. 106(14). 5907–5912. 170 indexed citations

13.

Resende, Rosa, Paula I. Moreira, Teresa Proença, et al.. (2008). Brain oxidative stress in a triple-transgenic mouse model of Alzheimer disease. Free Radical Biology and Medicine. 44(12). 2051–2057. 289 indexed citations

14.

Deshpande, Atul, Brijesh B. Patel, Elizabeth A. Saria, et al.. (2006). PHC3, a component of the hPRC-H complex, associates with 2A7E during G0 and is lost in osteosarcoma tumors. Oncogene. 26(12). 1714–1722. 37 indexed citations

15.

Deshpande, Atul, Erene Mina, Charles Glabe, & Jorge Busciglio. (2006). Different Conformations of Amyloid β Induce Neurotoxicity by Distinct Mechanisms in Human Cortical Neurons. Journal of Neuroscience. 26(22). 6011–6018. 420 indexed citations

16.

Miller, Kyle M., et al.. (2003). Telomere Maintenance in Fission Yeast Requires an Est1 Ortholog. Current Biology. 13(7). 575–580. 63 indexed citations

17.

Huang, Tao, Scott Kuersten, Atul Deshpande, et al.. (2001). Intercistronic Region Required for Polycistronic Pre-mRNA Processing in Caenorhabditis elegans. Molecular and Cellular Biology. 21(4). 1111–1120. 48 indexed citations

18.

Keiper, Brett D., Barry J. Lamphear, Atul Deshpande, et al.. (2000). Functional Characterization of Five eIF4E Isoforms inCaenorhabditis elegans. Journal of Biological Chemistry. 275(14). 10590–10596. 120 indexed citations

19.

Deshpande, Atul & Carol S. Newlon. (1992). The ARS Consensus Sequence Is Required for Chromosomal Origin Function in Saccharomyces cerevisiae. Molecular and Cellular Biology. 12(10). 4305–4313. 37 indexed citations

20.

Newlon, Carol S., Irene Collins, Atul Deshpande, et al.. (1991). Analysis of a circular derivative of Saccharomyces cerevisiae chromosome III: a physical map and identification and location of ARS elements.. Genetics. 129(2). 343–357. 104 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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