Daniel H. Kaplan

19.4k total citations · 6 hit papers
102 papers, 12.8k citations indexed

About

Daniel H. Kaplan is a scholar working on Immunology, Dermatology and Immunology and Allergy. According to data from OpenAlex, Daniel H. Kaplan has authored 102 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Immunology, 31 papers in Dermatology and 17 papers in Immunology and Allergy. Recurrent topics in Daniel H. Kaplan's work include Immunotherapy and Immune Responses (45 papers), T-cell and B-cell Immunology (38 papers) and Immune Cell Function and Interaction (30 papers). Daniel H. Kaplan is often cited by papers focused on Immunotherapy and Immune Responses (45 papers), T-cell and B-cell Immunology (38 papers) and Immune Cell Function and Interaction (30 papers). Daniel H. Kaplan collaborates with scholars based in United States, United Kingdom and China. Daniel H. Kaplan's co-authors include Juliet N. Barker, Frank O. Nestlé, Botond Z. Igyártó, Robert D. Schreiber, Michel Aguet, Anand S. Dighe, Sakeen W. Kashem, Mark J. Shlomchik, Warren D. Shlomchik and Vijay Shankaran and has published in prestigious journals such as Science, New England Journal of Medicine and Cell.

In The Last Decade

Daniel H. Kaplan

100 papers receiving 12.6k citations

Hit Papers

5 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.

Psoriasis

2009 2.2k citations Frank O. Nestlé, Daniel H. Kaplan et al. New England Journal of Medicine profile →
Targeted Disruption of the Stat1 Gene in Mice Reveals Unexpected Physiologic Specificity in the JAK–STAT Signaling Pathway

1996 1.4k citations Daniel H. Kaplan et al. Cell profile →
Demonstration of an interferon γ-dependent tumor surveillance system in immunocompetent mice

1998 1.1k citations Daniel H. Kaplan et al. profile →
Dysbiosis and Staphylococcus aureus Colonization Drives Inflammation in Atopic Dermatitis

2015 403 citations Daniel H. Kaplan et al. Immunity profile →
The epithelial immune microenvironment (EIME) in atopic dermatitis and psoriasis

2018 287 citations Daniel H. Kaplan et al. profile →
Cutaneous TRPV1+ Neurons Trigger Protective Innate Type 17 Anticipatory Immunity

2019 240 citations Jonathan Cohen, Tara N. Edwards et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel H. Kaplan United States	49	8.8k	3.4k	2.6k	2.2k	1.3k	102	12.8k
Björn E. Clausen Germany	57	8.8k 1.0×	1.3k 0.4×	2.4k 0.9×	3.7k 1.7×	1.1k 0.8×	122	14.2k
Satish Menon United States	33	8.0k 0.9×	1.7k 0.5×	1.7k 0.7×	1.9k 0.9×	2.3k 1.7×	37	12.3k
Louis Boon Netherlands	72	10.3k 1.2×	1.2k 0.4×	3.1k 1.2×	3.8k 1.8×	2.0k 1.6×	376	17.7k
Martien L. Kapsenberg Netherlands	60	10.1k 1.2×	2.3k 0.7×	1.4k 0.5×	2.1k 1.0×	2.3k 1.8×	127	14.7k
John E. Sims United States	60	10.0k 1.1×	1.7k 0.5×	1.9k 0.7×	4.1k 1.9×	1.2k 0.9×	105	14.6k
Y. Tokura Japan	50	3.8k 0.4×	4.7k 1.4×	1.8k 0.7×	1.4k 0.7×	1.1k 0.9×	423	10.3k
Jon D. Laman Netherlands	66	7.6k 0.9×	1.9k 0.6×	1.4k 0.5×	3.6k 1.7×	2.1k 1.6×	241	15.9k
Emiko Mizoguchi United States	60	7.7k 0.9×	937 0.3×	1.4k 0.6×	3.8k 1.8×	1.1k 0.8×	126	13.5k
Takashi Nomura Japan	49	19.5k 2.2×	1.6k 0.5×	5.6k 2.1×	3.2k 1.5×	1.4k 1.1×	144	28.3k
Jean‐Christophe Renauld Belgium	80	13.8k 1.6×	1.5k 0.5×	4.6k 1.7×	3.7k 1.7×	2.7k 2.1×	243	20.5k

Countries citing papers authored by Daniel H. Kaplan

Since Specialization

Citations

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

Fields of papers citing papers by Daniel H. Kaplan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel H. Kaplan. 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 Daniel H. Kaplan. The network helps show where Daniel H. Kaplan may publish in the future.

Co-authorship network of co-authors of Daniel H. Kaplan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel H. Kaplan. A scholar is included among the top collaborators of Daniel H. Kaplan 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 Daniel H. Kaplan. Daniel H. Kaplan 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

Zhang, Y., Kazuo Kurihara, James H. Liu, et al.. (2024). Agonism of the glutamate receptor GluK2 suppresses dermal mast cell activation and cutaneous inflammation. Science Translational Medicine. 16(777). eadq9133–eadq9133. 6 indexed citations

Whitley, Sarah K., Sakeen W. Kashem, Toshiro Hirai, et al.. (2022). Local IL-23 is required for proliferation and retention of skin-resident memory T _H 17 cells. Science Immunology. 7(77). eabq3254–eabq3254. 67 indexed citations

Zhang, Shiqun, Tara N. Edwards, Virendra K. Chaudhri, et al.. (2021). Nonpeptidergic neurons suppress mast cells via glutamate to maintain skin homeostasis. Cell. 184(8). 2151–2166.e16. 123 indexed citations

Zhang, Shiqun, Tina L. Sumpter, & Daniel H. Kaplan. (2021). Neuron‒Mast Cell Cross-Talk in the Skin. Journal of Investigative Dermatology. 142(3). 841–848. 18 indexed citations

Aggor, Felix E.Y., Timothy J. Break, Giraldina Trevejo-Nuñez, et al.. (2020). Oral epithelial IL-22/STAT3 signaling licenses IL-17–mediated immunity to oral mucosal candidiasis. Science Immunology. 5(48). 83 indexed citations

Hirai, Toshiro, Yi Yang, Yukari Zenke, et al.. (2020). Competition for Active TGFβ Cytokine Allows for Selective Retention of Antigen-Specific Tissue- Resident Memory T Cells in the Epidermal Niche. Immunity. 54(1). 84–98.e5. 79 indexed citations

Dalen, Rob van, Felix F. Fuchsberger, Nienke H. van Teijlingen, et al.. (2019). Langerhans Cells Sense Staphylococcus aureus Wall Teichoic Acid through Langerin To Induce Inflammatory Responses. mBio. 10(3). 54 indexed citations

Saloman, Jami L., Jonathan Cohen, & Daniel H. Kaplan. (2019). Intimate neuro-immune interactions: breaking barriers between systems to make meaningful progress. Current Opinion in Neurobiology. 62. 60–67. 13 indexed citations

Cohen, Jonathan, Tara N. Edwards, Andrew W. Liu, et al.. (2019). Cutaneous TRPV1+ Neurons Trigger Protective Innate Type 17 Anticipatory Immunity. Cell. 178(4). 919–932.e14. 240 indexed citations breakdown →

10.

Yang, Yi, Yukari Zenke, Toshiro Hirai, & Daniel H. Kaplan. (2019). Keratinocyte-derived TGFβ is not required to maintain skin immune homeostasis. Journal of Dermatological Science. 94(2). 290–297. 7 indexed citations

11.

Stadlbauer, Daniel, Arvind Rajabhathor, Fatima Amanat, et al.. (2017). Vaccination with a Recombinant H7 Hemagglutinin-Based Influenza Virus Vaccine Induces Broadly Reactive Antibodies in Humans. mSphere. 2(6). 34 indexed citations

12.

Yao, Chen, Sandra Zurawski, Juliet Crabtree, et al.. (2015). Skin dendritic cells induce follicular helper T cells and protective humoral immune responses. Journal of Allergy and Clinical Immunology. 136(5). 1387–1397.e7. 46 indexed citations

13.

Kashem, Sakeen W., Maureen Riedl, Chen Yao, et al.. (2015). Nociceptive Sensory Fibers Drive Interleukin-23 Production from CD301b+ Dermal Dendritic Cells and Drive Protective Cutaneous Immunity. Immunity. 43(4). 830–830.

14.

Modi, Badri, Elisa Binda, Julia M. Lewis, et al.. (2012). Langerhans Cells Facilitate Epithelial DNA Damage and Squamous Cell Carcinoma. Science. 335(6064). 104–108. 102 indexed citations

15.

Kastenmüller, Kathrin, Ulrike Wille-Reece, Ross Lindsay, et al.. (2011). Protective T cell immunity in mice following protein-TLR7/8 agonist-conjugate immunization requires aggregation, type I IFN, and multiple DC subsets. Journal of Clinical Investigation. 121(5). 1782–1796. 136 indexed citations

16.

Teichmann, Lino L., Michelle Ols, Michael Kashgarian, et al.. (2010). Dendritic Cells in Lupus Are Not Required for Activation of T and B Cells but Promote Their Expansion, Resulting in Tissue Damage. Immunity. 33(6). 967–978. 143 indexed citations

17.

Igyártó, Botond Z., Jan C. Dudda, Axel Roers, et al.. (2009). Langerhans Cells Suppress Contact Hypersensitivity Responses Via Cognate CD4 Interaction and Langerhans Cell-Derived IL-10. The Journal of Immunology. 183(8). 5085–5093. 105 indexed citations

18.

Nestlé, Frank O., Daniel H. Kaplan, & Juliet N. Barker. (2009). Psoriasis. New England Journal of Medicine. 361(5). 496–509. 2152 indexed citations breakdown →

19.

Kaplan, Daniel H., et al.. (2007). Autocrine/paracrine TGFβ1 is required for the development of epidermal Langerhans cells. The Journal of Experimental Medicine. 204(11). 2545–2552. 175 indexed citations

20.

Bacon, Chris M., et al.. (1995). Tyrosine Phosphorylation and Activation of Stat5, Stat3, and Janus Kinases by Interleukin-2 and Interleukin-15. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1 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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