Prabhakar S. Andhey

3.9k total citations · 3 hit papers
16 papers, 1.5k citations indexed

About

Prabhakar S. Andhey is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Prabhakar S. Andhey has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 7 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Prabhakar S. Andhey's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Single-cell and spatial transcriptomics (4 papers) and Immune cells in cancer (4 papers). Prabhakar S. Andhey is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Single-cell and spatial transcriptomics (4 papers) and Immune cells in cancer (4 papers). Prabhakar S. Andhey collaborates with scholars based in United States, Japan and Germany. Prabhakar S. Andhey's co-authors include Maxim N. Artyomov, Amanda Swain, Konstantin Zaitsev, Monika Bambousková, Marco Colonna, Irina Shchukina, Kory J. Lavine, David M. Holtzman, Jason D. Ulrich and Melissa Manis and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Prabhakar S. Andhey

16 papers receiving 1.5k citations

Hit Papers

Comprehensive Profiling o... 2020 2026 2022 2024 2020 2022 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prabhakar S. Andhey United States 11 636 564 309 275 159 16 1.5k
Irina Shchukina United States 12 698 1.1× 555 1.0× 392 1.3× 447 1.6× 136 0.9× 16 1.7k
Kaaweh Molawi Germany 11 874 1.4× 758 1.3× 287 0.9× 106 0.4× 162 1.0× 11 1.7k
Gaëlle Elain Switzerland 7 1.2k 1.9× 373 0.7× 350 1.1× 207 0.8× 87 0.5× 9 1.9k
Cornelia Cudrici United States 25 784 1.2× 610 1.1× 282 0.9× 137 0.5× 65 0.4× 54 1.7k
J. Henry M. Däbritz Germany 6 787 1.2× 873 1.5× 124 0.4× 199 0.7× 53 0.3× 9 1.7k
Hiroko Kanazawa Japan 14 620 1.0× 307 0.5× 416 1.3× 265 1.0× 62 0.4× 32 1.5k
José Ordovás-Montañés United States 19 693 1.1× 481 0.9× 206 0.7× 474 1.7× 36 0.2× 33 2.0k
Annette Oturai Denmark 27 855 1.3× 569 1.0× 109 0.4× 174 0.6× 125 0.8× 71 2.3k
Paul T. Massa United States 27 1.2k 2.0× 824 1.5× 387 1.3× 157 0.6× 102 0.6× 63 2.4k
Jung-Eun Jang United States 8 765 1.2× 398 0.7× 122 0.4× 346 1.3× 51 0.3× 8 1.7k

Countries citing papers authored by Prabhakar S. Andhey

Since Specialization
Citations

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

Fields of papers citing papers by Prabhakar S. Andhey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabhakar S. Andhey

This figure shows the co-authorship network connecting the top 25 collaborators of Prabhakar S. Andhey. A scholar is included among the top collaborators of Prabhakar S. Andhey 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 Prabhakar S. Andhey. Prabhakar S. Andhey 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.
Cantoni, Claudia, Margarita Smirnov, Maria Firulyova, et al.. (2025). A single-cell compendium of human cerebrospinal fluid identifies disease-associated immune cell populations. Journal of Clinical Investigation. 135(1). 3 indexed citations
2.
Orliaguet, Lucie, Yun‐Hee Youm, Yuanjiu Lei, et al.. (2025). Cysteine depletion triggers adipose tissue thermogenesis and weight loss. Nature Metabolism. 7(6). 1204–1222. 9 indexed citations
3.
Hou, Jinchao, Yingyue Zhou, Zhangying Cai, et al.. (2023). Transcriptomic atlas and interaction networks of brain cells in mouse CNS demyelination and remyelination. Cell Reports. 42(4). 112293–112293. 38 indexed citations
4.
Zhou, Yingyue, Mari Tada, Zhangying Cai, et al.. (2023). Human early-onset dementia caused by DAP12 deficiency reveals a unique signature of dysregulated microglia. Nature Immunology. 24(3). 545–557. 30 indexed citations
5.
Koenig, Andrew L., Irina Shchukina, Junedh Amrute, et al.. (2022). Single-cell transcriptomics reveals cell-type-specific diversification in human heart failure. Nature Cardiovascular Research. 1(3). 263–280. 225 indexed citations breakdown →
6.
Shi, Yang, Prabhakar S. Andhey, Christina Ising, et al.. (2021). Overexpressing low-density lipoprotein receptor reduces tau-associated neurodegeneration in relation to apoE-linked mechanisms. Neuron. 109(15). 2413–2426.e7. 84 indexed citations
7.
Wang, Chao, Monica Xiong, Maud Gratuze, et al.. (2021). Selective removal of astrocytic APOE4 strongly protects against tau-mediated neurodegeneration and decreases synaptic phagocytosis by microglia. Neuron. 109(10). 1657–1674.e7. 202 indexed citations breakdown →
8.
Andhey, Prabhakar S., Xiaoping Jiang, Jason M. Scott, et al.. (2021). A sustained type I IFN-neutrophil-IL-18 axis drives pathology during mucosal viral infection. eLife. 10. 24 indexed citations
9.
Miller, Hannah L., Prabhakar S. Andhey, Melissa Swiecki, et al.. (2021). Altered ratio of dendritic cell subsets in skin-draining lymph nodes promotes Th2-driven contact hypersensitivity. Proceedings of the National Academy of Sciences. 118(3). 6 indexed citations
10.
Winkler, Emma S., Swathi Shrihari, Barry L. Hykes, et al.. (2020). The Intestinal Microbiome Restricts Alphavirus Infection and Dissemination through a Bile Acid-Type I IFN Signaling Axis. Cell. 182(4). 901–918.e18. 132 indexed citations
11.
Swain, Amanda, Monika Bambousková, Hyeryun Kim, et al.. (2020). Comparative evaluation of itaconate and its derivatives reveals divergent inflammasome and type I interferon regulation in macrophages. Nature Metabolism. 2(7). 594–602. 213 indexed citations
12.
Adamo, Luigi, Cibele Rocha‐Resende, Chieh‐Yu Lin, et al.. (2020). Myocardial B cells are a subset of circulating lymphocytes with delayed transit through the heart. JCI Insight. 5(3). 72 indexed citations
13.
Mogilenko, Denis A., Oleg Shpynov, Prabhakar S. Andhey, et al.. (2020). Comprehensive Profiling of an Aging Immune System Reveals Clonal GZMK+ CD8+ T Cells as Conserved Hallmark of Inflammaging. Immunity. 54(1). 99–115.e12. 348 indexed citations breakdown →
14.
Reynoso, Glennys V., Prabhakar S. Andhey, Amanda Swain, et al.. (2020). An Agonistic Anti-CD137 Antibody Disrupts Lymphoid Follicle Structure and T-Cell-Dependent Antibody Responses. Cell Reports Medicine. 1(3). 100035–100035. 8 indexed citations
15.
Shi, Yang, Prabhakar S. Andhey, Christina Ising, et al.. (2020). Overexpressing Low-Density Lipoprotein Receptor Reduces Tau-Associated Neurodegeneration Via ApoE-Dependent and Independent Mechanisms. SSRN Electronic Journal. 1 indexed citations
16.
Park, Eugene, Swapneel J. Patel, Qiuling Wang, et al.. (2019). Toxoplasma gondii infection drives conversion of NK cells into ILC1-like cells. eLife. 8. 90 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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