Salil S. Bhate

4.0k total citations · 2 hit papers
16 papers, 1.8k citations indexed

About

Salil S. Bhate is a scholar working on Molecular Biology, Oncology and Biophysics. According to data from OpenAlex, Salil S. Bhate has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Biophysics. Recurrent topics in Salil S. Bhate's work include Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (4 papers) and Advanced Biosensing Techniques and Applications (3 papers). Salil S. Bhate is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (4 papers) and Advanced Biosensing Techniques and Applications (3 papers). Salil S. Bhate collaborates with scholars based in United States, Switzerland and Germany. Salil S. Bhate's co-authors include Garry P. Nolan, Yury Goltsev, Nikolay Samusik, Sarah Black, Julia Kennedy‐Darling, Gustavo Vazquez, Matthew B. Hale, Graham L. Barlow, Christian M. Schürch and Darci J. Phillips and has published in prestigious journals such as Cell, Nature Communications and Blood.

In The Last Decade

Salil S. Bhate

16 papers receiving 1.8k citations

Hit Papers

Deep Profiling of Mouse S... 2018 2026 2020 2023 2018 2020 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Salil S. Bhate United States 9 1.2k 499 440 439 235 16 1.8k
Sarah Black United States 8 1.2k 1.0× 483 1.0× 473 1.1× 483 1.1× 259 1.1× 11 1.8k
Matthew B. Hale United States 10 1.4k 1.2× 521 1.0× 518 1.2× 423 1.0× 252 1.1× 14 2.2k
Julia Kennedy‐Darling United States 9 943 0.8× 363 0.7× 293 0.7× 259 0.6× 181 0.8× 18 1.3k
Shuchun Zhao United States 20 954 0.8× 227 0.5× 498 1.1× 792 1.8× 239 1.0× 48 2.1k
Hartland W. Jackson Canada 15 1.5k 1.2× 332 0.7× 429 1.0× 1.1k 2.4× 680 2.9× 27 2.4k
Diana M. Marquez United States 6 730 0.6× 195 0.4× 530 1.2× 523 1.2× 224 1.0× 10 1.4k
Noah F. Greenwald United States 16 788 0.6× 213 0.4× 222 0.5× 465 1.1× 425 1.8× 29 1.9k
Gustavo Vazquez United States 4 665 0.5× 294 0.6× 214 0.5× 184 0.4× 125 0.5× 6 927
Graham L. Barlow United States 7 493 0.4× 220 0.4× 247 0.6× 266 0.6× 115 0.5× 15 860
Jeffrey Chun Tatt Lim Singapore 22 505 0.4× 127 0.3× 413 0.9× 680 1.5× 326 1.4× 52 1.5k

Countries citing papers authored by Salil S. Bhate

Since Specialization
Citations

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

Fields of papers citing papers by Salil S. Bhate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salil S. Bhate. 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 Salil S. Bhate. The network helps show where Salil S. Bhate may publish in the future.

Co-authorship network of co-authors of Salil S. Bhate

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

All Works

16 of 16 papers shown
1.
Barlow, Graham L., Christian M. Schürch, Salil S. Bhate, et al.. (2025). The extra-islet pancreas supports autoimmunity in human type 1 diabetes. eLife. 13. 2 indexed citations
2.
Barlow, Graham L., Christian M. Schürch, Salil S. Bhate, et al.. (2024). The extra-islet pancreas supports autoimmunity in human type 1 diabetes. eLife. 13. 1 indexed citations
3.
Förster, Stefan, Stephan Isringhausen, Christian M. Schürch, et al.. (2022). Splenic red pulp macrophages provide a niche for CML stem cells and induce therapy resistance. Leukemia. 36(11). 2634–2646. 11 indexed citations
4.
Lee, Michael Y., Salil S. Bhate, Graham L. Barlow, et al.. (2022). CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images. BMC Bioinformatics. 23(1). 46–46. 54 indexed citations
5.
Rovira‐Clavé, Xavier, Sizun Jiang, Yunhao Bai, et al.. (2021). Subcellular localization of biomolecules and drug distribution by high-definition ion beam imaging. Nature Communications. 12(1). 4628–4628. 52 indexed citations
6.
Bhate, Salil S., Graham L. Barlow, Christian M. Schürch, & Garry P. Nolan. (2021). Tissue schematics map the specialization of immune tissue motifs and their appropriation by tumors. Cell Systems. 13(2). 109–130.e6. 46 indexed citations
7.
Phillips, Darci J., Magdalena Matusiak, Belén Rivero‐Gutiérrez, et al.. (2021). Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma. Nature Communications. 12(1). 6726–6726. 124 indexed citations
8.
Kennedy‐Darling, Julia, Salil S. Bhate, John W. Hickey, et al.. (2021). Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction. European Journal of Immunology. 51(5). 1262–1277. 52 indexed citations
9.
Schürch, Christian M., Salil S. Bhate, Graham L. Barlow, et al.. (2020). Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front. Cell. 182(5). 1341–1359.e19. 499 indexed citations breakdown →
10.
Schürch, Christian M., Salil S. Bhate, Graham L. Barlow, et al.. (2019). Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front. SSRN Electronic Journal. 6 indexed citations
11.
Förster, Stefan, Stephan Isringhausen, Christian M. Schürch, et al.. (2019). Splenic CD24low Red Pulp Macrophages Provide an Alternate Niche for Chronic Myeloid Leukemia Stem Cells. Blood. 134(Supplement_1). 1634–1634. 1 indexed citations
12.
Schuerch, Christian, Darci J. Phillips, Salil S. Bhate, et al.. (2019). Dynamics of the Cutaneous T Cell Lymphoma Microenvironment in Patients Treated with Pembrolizumab Revealed By Highly Multiplexed Tissue Imaging. Blood. 134(Supplement_1). 1521–1521. 4 indexed citations
13.
Liu, Yanxia, Yu Chen, Timothy Daley, et al.. (2018). CRISPR Activation Screens Systematically Identify Factors that Drive Neuronal Fate and Reprogramming. Cell stem cell. 23(5). 758–771.e8. 150 indexed citations
14.
Goltsev, Yury, Nikolay Samusik, Julia Kennedy‐Darling, et al.. (2018). Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging. SSRN Electronic Journal. 3 indexed citations
15.
Goltsev, Yury, Nikolay Samusik, Julia Kennedy‐Darling, et al.. (2018). Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging. Cell. 174(4). 968–981.e15. 838 indexed citations breakdown →
16.
Schuerch, Christian, Graham L. Barlow, Salil S. Bhate, et al.. (2018). Dynamics of the Bone Marrow Microenvironment during Leukemic Progression Revealed By Codex Hyper-Parameter Tissue Imaging. Blood. 132(Supplement 1). 935–935. 3 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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