Tushar Kamath

1.9k total citations · 1 hit paper
8 papers, 296 citations indexed

About

Tushar Kamath is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Tushar Kamath has authored 8 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Physiology. Recurrent topics in Tushar Kamath's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Single-cell and spatial transcriptomics (3 papers) and CRISPR and Genetic Engineering (2 papers). Tushar Kamath is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Single-cell and spatial transcriptomics (3 papers) and CRISPR and Genetic Engineering (2 papers). Tushar Kamath collaborates with scholars based in United States, Finland and Switzerland. Tushar Kamath's co-authors include Evan Z. Macosko, Naeem Nadaf, Karol S. Balderrama, Abdulraouf Abdulraouf, Charles Vanderburg, Vahid Gazestani, May Tun Saung, Róbert Langer, Andrew S. Liss and Jesse D. Kirkpatrick and has published in prestigious journals such as Nature Neuroscience, Journal of Allergy and Clinical Immunology and Small.

In The Last Decade

Tushar Kamath

6 papers receiving 294 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson’s disease

2022 258 citations Tushar Kamath, Abdulraouf Abdulraouf et al. Nature Neuroscience profile →

Peers

Countries citing papers authored by Tushar Kamath

Since Specialization

Citations

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

Fields of papers citing papers by Tushar Kamath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tushar Kamath

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

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	GLP ‐ 1RA and Liver Fibrosis Progression in MASLD and Type 2 Diabetes: Target Trial Emulation Using Propensity Score Matching 2025 ·Liver International ·Jonggi Choi, Tushar Kamath, Vy H. Nguyen, Eric M. Przybyszewski, (unknown), Allison J. Carroll, (unknown), (unknown), Tracey G. Simon, Raymond T. Chung	0
2	A toolkit to study microglia states using stem cell‐derived models 2023 ·Alzheimer s & Dementia ·Martine Therrien, Michael-John Dolan, (unknown), Tushar Kamath, Daniel Meyer, (unknown), Christopher K. Glass, Ville Leinonen, Mathew Blurton‐Jones, Evan Z. Macosko, Beth Stevens	1
3	Insights into Neurodegeneration in Parkinson's Disease from Single‐Cell and Spatial Genomics 2023 ·Movement Disorders ·Tushar Kamath, Evan Z. Macosko	4
4	Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson’s disease breakdown → 2022 ·Nature Neuroscience ·Tushar Kamath, Abdulraouf Abdulraouf, (unknown), (unknown), Vahid Gazestani, Naeem Nadaf, Karol S. Balderrama, Charles Vanderburg, Evan Z. Macosko	258
5	Multi‐modal Analysis and Modeling of Human Neurodegenerative Disease to Reveal Disease Mechanisms and Biomarkers 2022 ·Alzheimer s & Dementia ·Samuel E. Marsh, Sarah Louise Murphy, Tushar Kamath, Vahid Gazestani, Martine Therrien, Michael-John Dolan, (unknown), Miguel Reyes, Johan Gobom, Clary B. Clish, Nir Hacohen, Henrik Zetterberg, Ville Leinonen, Evan Z. Macosko, Beth Stevens	0
6	A Size‐Selective Intracellular Delivery Platform 2016 ·Small ·May Tun Saung, Armon Sharei, Viktor A. Adalsteinsson, Nahyun Cho, Tushar Kamath, Camilo Ruiz, Jesse D. Kirkpatrick, Nehal Patel, Mari Mino–Kenudson, Sarah P. Thayer, Róbert Langer, Klavs F. Jensen, Andrew S. Liss, J. Christopher Love	31
7	Mutator/hypermutable fetal/juvenile metakaryotic stem cells and human colorectal carcinogenesis 2013 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Lohith G. Kini, Pablo Herrero-Jimenez, Tushar Kamath, Jayodita C. Sanghvi, (unknown), (unknown), (unknown), Rebecca Kusko, (unknown), (unknown), (unknown), Stephan Morgenthaler, (unknown), (unknown), William G. Thilly	1
8	Chlamydophila pneumoniae (Cpn) Mediated IgE Production by Peripheral Blood Mononuclear Cells (PBMCs) of Allergic Asthmatics is Suppressed by Doxycycline 2007 ·Journal of Allergy and Clinical Immunology ·Stephan Kohlhoff, Rauno Joks, Tushar Kamath, Andrei Kutlin, Tamar A. Smith‐Norowitz, Maja Nowakowski, Martin H. Bluth, Helen G. Durkin, Margaret R. Hammerschlag	1

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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