Sarthak Sinha

4.0k total citations · 2 hit papers
53 papers, 2.0k citations indexed

About

Sarthak Sinha is a scholar working on Molecular Biology, Rehabilitation and Surgery. According to data from OpenAlex, Sarthak Sinha has authored 53 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Rehabilitation and 8 papers in Surgery. Recurrent topics in Sarthak Sinha's work include Wound Healing and Treatments (11 papers), Single-cell and spatial transcriptomics (8 papers) and Hair Growth and Disorders (7 papers). Sarthak Sinha is often cited by papers focused on Wound Healing and Treatments (11 papers), Single-cell and spatial transcriptomics (8 papers) and Hair Growth and Disorders (7 papers). Sarthak Sinha collaborates with scholars based in Canada, United States and United Kingdom. Sarthak Sinha's co-authors include Jeff Biernaskie, Ryan R. Driskell, Erica L. Herzog, Elvira Forte, Sean Thompson, Valerie Horsley, Nadia Rosenthal, Xiaojie Wang, Maksim V. Plikus and Waleed Rahmani and has published in prestigious journals such as Nature, Cell and Nature Medicine.

In The Last Decade

Sarthak Sinha

49 papers receiving 2.0k citations

Hit Papers

Fibroblasts: Origins, definitions, and functions in healt... 2021 2026 2022 2024 2021 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarthak Sinha Canada 20 702 364 332 260 252 53 2.0k
Cinzia Marchese Italy 30 1.3k 1.9× 235 0.6× 227 0.7× 79 0.3× 230 0.9× 100 2.7k
Anie Philip Canada 27 1.2k 1.7× 366 1.0× 275 0.8× 64 0.2× 144 0.6× 63 2.5k
Fabio Quondamatteo Germany 28 1.6k 2.3× 169 0.5× 322 1.0× 196 0.8× 147 0.6× 89 3.2k
Kui Ma China 29 963 1.4× 824 2.3× 141 0.4× 91 0.3× 143 0.6× 81 2.3k
Jürgen Brinckmann Germany 27 922 1.3× 366 1.0× 327 1.0× 43 0.2× 178 0.7× 65 2.8k
Kensei Katsuoka Japan 29 931 1.3× 197 0.5× 275 0.8× 598 2.3× 935 3.7× 130 3.1k
Patricia Ropraz Switzerland 15 1.4k 2.0× 216 0.6× 450 1.4× 124 0.5× 139 0.6× 23 3.2k
John M. McPherson United States 34 1.1k 1.6× 280 0.8× 281 0.8× 80 0.3× 318 1.3× 66 3.1k
Monia Orciani Italy 27 567 0.8× 125 0.3× 363 1.1× 99 0.4× 102 0.4× 85 1.9k
Haojie Hao China 29 1.4k 2.0× 546 1.5× 257 0.8× 71 0.3× 195 0.8× 66 2.9k

Countries citing papers authored by Sarthak Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Sarthak Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarthak Sinha

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

All Works

20 of 20 papers shown
1.
Xu, Shiwen, John Nguyen, David E. Carter, et al.. (2023). Tripterygium wilfordii derivative celastrol, a YAP inhibitor, has antifibrotic effects in systemic sclerosis. Annals of the Rheumatic Diseases. 82(9). 1191–1204. 15 indexed citations
2.
Sinha, Sarthak, Rohit Arora, Marieta van der Vyver, et al.. (2023). Plastic Surgery Clinical Trials: A Systematic Review of Characteristics, Research Themes, and Predictors of Publication and Discontinuation. Plastic & Reconstructive Surgery Global Open. 11(12). e5478–e5478. 1 indexed citations
3.
Leblay, Noémie, Sungwoo Ahn, Mansour Poorebrahim, et al.. (2023). Integrated epigenetic and transcriptional single-cell analysis of t(11;14) multiple myeloma and its BCL2 dependency. Blood. 143(1). 42–56. 14 indexed citations
4.
Gillrie, Mark R., Nicole L. Rosin, Sarthak Sinha, et al.. (2023). Case report: Immune profiling links neutrophil and plasmablast dysregulation to microvascular damage in post-COVID-19 Multisystem Inflammatory Syndrome in Adults (MIS-A). Frontiers in Immunology. 14. 1125960–1125960. 3 indexed citations
5.
Yaqubi, Moein, Hadi Hashemi, Sarthak Sinha, et al.. (2023). Analysis of the microglia transcriptome across the human lifespan using single cell RNA sequencing. Journal of Neuroinflammation. 20(1). 132–132. 18 indexed citations
6.
Rahmani, Waleed, Hyunjae Chung, Sarthak Sinha, et al.. (2022). Attenuation of SARS-CoV-2 infection by losartan in human kidney organoids. iScience. 25(2). 103818–103818. 19 indexed citations
7.
Kratofil, Rachel M., Raymond Shim, Woo-Yong Lee, et al.. (2022). A monocyte–leptin–angiogenesis pathway critical for repair post-infection. Nature. 609(7925). 166–173. 63 indexed citations
8.
Sinha, Sarthak, Carlos Hiroji Hiroki, Elise Granton, et al.. (2021). Marginating transitional B cells modulate neutrophils in the lung during inflammation and pneumonia. The Journal of Experimental Medicine. 218(9). 21 indexed citations
9.
Sinha, Sarthak, Ansuman T. Satpathy, Weiqiang Zhou, et al.. (2021). Profiling Chromatin Accessibility at Single-Cell Resolution. Genomics Proteomics & Bioinformatics. 19(2). 172–190. 26 indexed citations
10.
Sinha, Sarthak, Nicole L. Rosin, Rohit Arora, et al.. (2021). Dexamethasone modulates immature neutrophils and interferon programming in severe COVID-19. Nature Medicine. 28(1). 201–211. 138 indexed citations
11.
Rosin, Nicole L., Holly D. Sparks, Sarthak Sinha, et al.. (2020). Dysfunction of Hair Follicle Mesenchymal Progenitors Contributes to Age-Associated Hair Loss. Developmental Cell. 53(2). 185–198.e7. 65 indexed citations
12.
Stratton, Jo Anne, Sarthak Sinha, Elodie Labit, et al.. (2019). Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues. Journal of Visualized Experiments. 2 indexed citations
13.
Stratton, Jo Anne, et al.. (2019). A tale of two cousins: Ependymal cells, quiescent neural stem cells and potential mechanisms driving their functional divergence. FEBS Journal. 286(16). 3110–3116. 13 indexed citations
14.
Stratton, Jo Anne, Sarthak Sinha, Elodie Labit, et al.. (2019). Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues. Journal of Visualized Experiments. 4 indexed citations
15.
Stratton, Jo Anne, Alexandra Holmes, Nicole L. Rosin, et al.. (2018). Macrophages Regulate Schwann Cell Maturation after Nerve Injury. Cell Reports. 24(10). 2561–2572.e6. 151 indexed citations
18.
Sinha, Sarthak, et al.. (2017). Burn clinical trials: A systematic review of registration and publications. Burns. 44(2). 263–271. 7 indexed citations
19.
Borys, Breanna S., et al.. (2016). Large‐scale expansion of human skin‐derived precursor cells (hSKPs) in stirred suspension bioreactors. Biotechnology and Bioengineering. 113(12). 2725–2738. 13 indexed citations
20.
Kumar, Ranjan, Sarthak Sinha, Andrew Hagner, et al.. (2016). Adult skin-derived precursor Schwann cells exhibit superior myelination and regeneration supportive properties compared to chronically denervated nerve-derived Schwann cells. Experimental Neurology. 278. 127–142. 26 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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