Jonathan A. Rebhahn

2.5k total citations
14 papers, 690 citations indexed

About

Jonathan A. Rebhahn is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Jonathan A. Rebhahn has authored 14 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Jonathan A. Rebhahn's work include T-cell and B-cell Immunology (6 papers), Single-cell and spatial transcriptomics (5 papers) and Gene Regulatory Network Analysis (3 papers). Jonathan A. Rebhahn is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Single-cell and spatial transcriptomics (5 papers) and Gene Regulatory Network Analysis (3 papers). Jonathan A. Rebhahn collaborates with scholars based in United States, Canada and Netherlands. Jonathan A. Rebhahn's co-authors include Tim R. Mosmann, James J. Kobie, Yang Li, Deborah J. Fowell, Pranav R. Shah, Gaurav Sharma, Iftekhar Naim, Suprakash Datta, Jason M. Weaver and Martin Richter and has published in prestigious journals such as The Journal of Immunology, Frontiers in Immunology and European Journal of Immunology.

In The Last Decade

Jonathan A. Rebhahn

14 papers receiving 682 citations

Peers

Countries citing papers authored by Jonathan A. Rebhahn

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan A. Rebhahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan A. Rebhahn. 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 Jonathan A. Rebhahn. The network helps show where Jonathan A. Rebhahn may publish in the future.

Co-authorship network of co-authors of Jonathan A. Rebhahn

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	A Phenotypically Distinct Human Th2 Cell Subpopulation Is Associated With Development of Allergic Disorders in Infancy 2025 ·Allergy ·(unknown), Courtney M. Jackson, (unknown), Antti Seppo, Jonathan A. Rebhahn, (unknown), M. Cecilia Berin, R. John Looney, Tim R. Mosmann, Kirsi M. Järvinen	1
2	SWIFT clustering analysis of intracellular cytokine staining flow cytometry data of the HVTN 105 vaccine trial reveals high frequencies of HIV-specific CD4+ T cell responses and associations with humoral responses 2024 ·Frontiers in Immunology ·Tim R. Mosmann, Jonathan A. Rebhahn, Stephen C. De Rosa, Michael C. Keefer, M. Juliana McElrath, Nadine Rouphael, Giuseppe Pantaleo, Peter B. Gilbert, Lawrence Corey, James J. Kobie, Juilee Thakar	1
3	Development of a functional salivary gland tissue chip with potential for high-content drug screening 2021 ·Communications Biology ·Yuanhui Song, Hitoshi Uchida, (unknown), (unknown), Jared A. Mereness, (unknown), Jonathan A. Rebhahn, Shawn D. Newlands, Lisa A. DeLouise, Catherine E. Ovitt, Danielle S. W. Benoit	34
4	SwiftReg cluster registration automatically reduces flow cytometry data variability including batch effects 2020 ·Communications Biology ·Jonathan A. Rebhahn, Sally A. Quataert, Gaurav Sharma, Tim R. Mosmann	12
5	Automated Analysis of Flow Cytometry Data to Reduce Inter-Lab Variation in the Detection of Major Histocompatibility Complex Multimer-Binding T Cells 2017 ·Frontiers in Immunology ·Natasja Wulff Pedersen, P. Anoop Chandran, Qian Yu, Jonathan A. Rebhahn, (unknown), (unknown), S. M. White, Alexandra Lee, Rick Stanton, (unknown), (unknown), Tim R. Mosmann, Cécile Gouttefangeas, Cliburn Chan, Richard H. Scheuermann, Sine Reker Hadrup	13
6	Competitive SWIFT cluster templates enhance detection of aging changes 2015 ·Cytometry Part A ·Jonathan A. Rebhahn, (unknown), Yilin Qi, Atif Ali Khan, Juilee Thakar, Alex Rosenberg, (unknown), Sally A. Quataert, Gaurav Sharma, Tim R. Mosmann	13
7	Microbubble array diffusion assay for the detection of cell secreted factors 2014 ·Lab on a Chip ·(unknown), (unknown), Jonathan A. Rebhahn, Michael S. Piepenbrink, Bo Zheng, Tim R. Mosmann, James J. Kobie, Lisa A. DeLouise	9
8	SWIFT—scalable clustering for automated identification of rare cell populations in large, high‐dimensional flow cytometry datasets, Part 1: Algorithm design 2014 ·Cytometry Part A ·Iftekhar Naim, Suprakash Datta, Jonathan A. Rebhahn, (unknown), Tim R. Mosmann, Gaurav Sharma	60
9	An animated landscape representation of CD4⁺ T‐cell differentiation, variability, and plasticity: Insights into the behavior of populations versus cells 2014 ·European Journal of Immunology ·Jonathan A. Rebhahn, Nan Deng, Gaurav Sharma, Alexandra M. Livingstone, Sui Huang, Tim R. Mosmann	14
10	SWIFT—scalable clustering for automated identification of rare cell populations in large, high‐dimensional flow cytometry datasets, Part 2: Biological evaluation 2014 ·Cytometry Part A ·Tim R. Mosmann, Iftekhar Naim, Jonathan A. Rebhahn, Suprakash Datta, (unknown), Jason M. Weaver, Gaurav Sharma	56
11	Modulation of Single-Cell IgG Secretion Frequency and Rates in Human Memory B Cells by CpG DNA, CD40L, IL-21, and Cell Division 2009 ·The Journal of Immunology ·(unknown), Jonathan A. Rebhahn, Miguel Brown, (unknown), (unknown), Ollivier Hyrien, (unknown), Tim R. Mosmann, Martin S. Zand	33
12	Automated analysis of two- and three-color fluorescent Elispot (Fluorospot) assays for cytokine secretion 2008 ·Computer Methods and Programs in Biomedicine ·Jonathan A. Rebhahn, (unknown), Anagha Divekar, (unknown), James J. Kobie, (unknown), (unknown), Jennifer Snyder‐Cappione, Dietmar M. Zaiss, Tim R. Mosmann	24
13	Collagen Distribution and Expression of Collagen-Binding α1β1 (VLA-1) and α2β1 (VLA-2) Integrins on CD4 and CD8 T Cells during Influenza Infection 2007 ·The Journal of Immunology ·Martin Richter, (unknown), Timothy J. Chapman, Sarah J. Austin, Jonathan A. Rebhahn, Timothy R. Mosmann, Humphrey Gardner, Victor Kotelianski, (unknown), David J. Topham	70
14	T Regulatory and Primed Uncommitted CD4 T Cells Express CD73, Which Suppresses Effector CD4 T Cells by Converting 5′-Adenosine Monophosphate to Adenosine 2006 ·The Journal of Immunology ·James J. Kobie, Pranav R. Shah, Yang Li, Jonathan A. Rebhahn, Deborah J. Fowell, Tim R. Mosmann	350

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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