Harris Perlman

22.1k total citations · 3 hit papers
140 papers, 11.9k citations indexed

About

Harris Perlman is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Harris Perlman has authored 140 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 70 papers in Immunology and 23 papers in Oncology. Recurrent topics in Harris Perlman's work include Cell death mechanisms and regulation (34 papers), Immune Response and Inflammation (28 papers) and Rheumatoid Arthritis Research and Therapies (18 papers). Harris Perlman is often cited by papers focused on Cell death mechanisms and regulation (34 papers), Immune Response and Inflammation (28 papers) and Rheumatoid Arthritis Research and Therapies (18 papers). Harris Perlman collaborates with scholars based in United States, Belgium and United Kingdom. Harris Perlman's co-authors include Alexander V. Misharin, Kenneth Walsh, Richard M. Pope, G. R. Scott Budinger, Lisa J. Pagliari, Gökhan M. Mutlu, Luisa Morales‐Nebreda, Ralph Buttyan, Sergey Viukov and David Hume and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Biological Chemistry.

In The Last Decade

Harris Perlman

138 papers receiving 11.7k 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.

Fate Mapping Reveals Origins and Dynamics of Monocytes and Tissue Macrophages under Homeostasis

2012 2.3k citations Alexander V. Misharin, Harris Perlman et al. profile →
Mitochondria Are Required for Antigen-Specific T Cell Activation through Reactive Oxygen Species Signaling

2013 986 citations David A. Hildeman, Paul T. Schumacker et al. profile →
Flow Cytometric Analysis of Macrophages and Dendritic Cell Subsets in the Mouse Lung

2013 637 citations Alexander V. Misharin, Luisa Morales‐Nebreda et al. American Journal of Respiratory Cell and Molecular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Harris Perlman United States	50	5.3k	5.2k	1.5k	1.5k	1.5k	140	11.9k
Alma Zernecke Germany	66	5.6k 1.1×	8.7k 1.7×	2.3k 1.5×	2.7k 1.8×	1.1k 0.7×	173	16.0k
Jennifer R. Gamble Australia	64	6.0k 1.1×	4.8k 0.9×	1.5k 1.0×	1.3k 0.9×	1.0k 0.7×	157	14.4k
Menno P.J. de Winther Netherlands	57	4.6k 0.9×	6.2k 1.2×	1.8k 1.2×	1.0k 0.7×	717 0.5×	188	12.2k
Bernd Arnold Germany	59	4.5k 0.9×	6.6k 1.3×	1.2k 0.8×	2.0k 1.3×	802 0.5×	167	15.1k
Atsushi Kumanogoh Japan	61	5.7k 1.1×	3.7k 0.7×	641 0.4×	2.0k 1.4×	1.1k 0.8×	376	13.8k
Erik A.L. Biessen Netherlands	56	4.7k 0.9×	4.2k 0.8×	1.6k 1.0×	1.3k 0.9×	776 0.5×	249	11.0k
Sten Eirik W. Jacobsen Sweden	77	8.8k 1.7×	8.0k 1.5×	1.4k 0.9×	2.8k 1.9×	1.1k 0.7×	312	21.6k
Emilio Hirsch Italy	73	9.6k 1.8×	5.4k 1.0×	1.5k 1.0×	2.9k 1.9×	1.2k 0.8×	297	19.0k
Bernhard Nieswandt Germany	81	5.1k 1.0×	4.3k 0.8×	1.2k 0.8×	2.5k 1.7×	2.9k 2.0×	321	22.9k
Catherine C. Hedrick United States	56	5.4k 1.0×	8.2k 1.6×	1.8k 1.2×	4.0k 2.7×	1.4k 1.0×	136	15.8k

Countries citing papers authored by Harris Perlman

Since Specialization

Citations

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

Fields of papers citing papers by Harris Perlman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harris Perlman

This figure shows the co-authorship network connecting the top 25 collaborators of Harris Perlman. A scholar is included among the top collaborators of Harris Perlman 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 Harris Perlman. Harris Perlman 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

Gadhvi, Gaurav, Liang Feng, Colin T. Shearn, et al.. (2025). Transcriptional analysis of murine biliary atresia identifies macrophage heterogeneity and subset-specific macrophage functions. Frontiers in Immunology. 16. 1506195–1506195.

Cerier, Emily, Chitaru Kurihara, Adwaiy Manerikar, et al.. (2023). Temporal correlation between postreperfusion complement deposition and severe primary graft dysfunction in lung allografts. American Journal of Transplantation. 24(4). 577–590. 3 indexed citations

Gadhvi, Gaurav, Mary Carns, Kathleen Aren, et al.. (2022). Three Distinct Transcriptional Profiles of Monocytes Associate with Disease Activity in Scleroderma Patients. Arthritis & Rheumatology. 75(4). 595–608. 4 indexed citations

Stoeger, Thomas, Rogan A. Grant, Alexandra C. McQuattie‐Pimentel, et al.. (2022). Aging is associated with a systemic length-associated transcriptome imbalance. Nature Aging. 2(12). 1191–1206. 61 indexed citations

Radigan, Kathryn A., Trevor T. Nicholson, Lynn C. Welch, et al.. (2018). Influenza A Virus Infection Induces Muscle Wasting via IL-6 Regulation of the E3 Ubiquitin Ligase Atrogin-1. The Journal of Immunology. 202(2). 484–493. 36 indexed citations

Homan, Philip, Hemant Agrawal, Alexander V. Misharin, et al.. (2017). Bim suppresses the development of SLE by limiting myeloid inflammatory responses. The Journal of Experimental Medicine. 214(12). 3753–3773. 22 indexed citations

Fähnrich, Anke, Carla M. Cuda, H. Leighton Grimes, et al.. (2016). Temporal Expression of Bim Limits the Development of Agonist-Selected Thymocytes and Skews Their TCRβ Repertoire. The Journal of Immunology. 198(1). 257–269. 15 indexed citations

Bharat, Ankit, Stephen Chiu, Zhikun Zheng, et al.. (2016). Lung-Restricted Antibodies Mediate Primary Graft Dysfunction and Prevent Allotolerance after Murine Lung Transplantation. American Journal of Respiratory Cell and Molecular Biology. 55(4). 532–541. 19 indexed citations

Morales‐Nebreda, Luisa, Kevin J. Hamill, Saul Soberanes, et al.. (2014). Lung-Specific Loss of α3 Laminin Worsens Bleomycin-Induced Pulmonary Fibrosis. American Journal of Respiratory Cell and Molecular Biology. 52(4). 503–512. 34 indexed citations

10.

Domanchuk, Kathryn, Luigi Ferrucci, Jack M. Guralnik, et al.. (2013). Progenitor cell release plus exercise to improve functional performance in peripheral artery disease: The PROPEL Study. Contemporary Clinical Trials. 36(2). 502–509. 18 indexed citations

11.

Budinger, G. R. Scott, Gökhan M. Mutlu, Daniela Urich, et al.. (2010). Epithelial Cell Death Is an Important Contributor to Oxidant-mediated Acute Lung Injury. American Journal of Respiratory and Critical Care Medicine. 183(8). 1043–1054. 91 indexed citations

12.

Perlman, Harris, et al.. (2010). Innate Immunity and Rheumatoid Arthritis. Rheumatic Disease Clinics of North America. 36(2). 271–296. 99 indexed citations

13.

Aprahamian, Tamar, Ramon Bonegio, Harris Perlman, et al.. (2006). Simvastatin Treatment Ameliorates Autoimmune Disease Associated with Accelerated Atherosclerosis in a Murine Lupus Model. The Journal of Immunology. 177(5). 3028–3034. 79 indexed citations

14.

Liu, Hongtao, Vladislav Temkin, G. Kenneth Haines, et al.. (2005). Mcl-1 Is Essential for the Survival of Synovial Fibroblasts in Rheumatoid Arthritis. The Journal of Immunology. 175(12). 8337–8345. 73 indexed citations

15.

Brown, Nathaniel J., Jack Hutcheson, John C. Scatizzi, et al.. (2005). Fas Death Receptor Signaling Represses Monocyte Numbers and Macrophage Activation In Vivo.. The Journal of Immunology. 174(6). 3818–3818. 2 indexed citations

16.

Liu, Hongtao, Yingyu Ma, Lisa J. Pagliari, et al.. (2004). TNF-α-Induced Apoptosis of Macrophages Following Inhibition of NF-κB: A Central Role for Disruption of Mitochondria. The Journal of Immunology. 172(3). 1907–1915. 75 indexed citations

17.

Brown, Nathaniel J., Jack Hutcheson, John C. Scatizzi, et al.. (2004). Fas Death Receptor Signaling Represses Monocyte Numbers and Macrophage Activation In Vivo. The Journal of Immunology. 173(12). 7584–7593. 36 indexed citations

18.

Georganas, Constantinos, Hongtao Liu, Harris Perlman, et al.. (2000). Regulation of IL-6 and IL-8 Expression in Rheumatoid Arthritis Synovial Fibroblasts: the Dominant Role for NF-κB But Not C/EBPβ or c-Jun. The Journal of Immunology. 165(12). 7199–7206. 191 indexed citations

19.

Shabsigh, Ahmad, et al.. (1999). Regulation of Apoptosis in the Prostate Gland by Androgenic Steroids. Trends in Endocrinology and Metabolism. 10(2). 47–54. 56 indexed citations

20.

Branellec, Didier, David H. Gorski, Kun Guo, et al.. (1997). p21CIP1-mediated inhibition of cell proliferation by overexpression of the gax homeodomain gene.. Genes & Development. 11(13). 1674–1689. 147 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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