Daniel Campbell

16.1k total citations · 4 hit papers
108 papers, 10.2k citations indexed

About

Daniel Campbell is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Daniel Campbell has authored 108 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Immunology, 19 papers in Oncology and 14 papers in Molecular Biology. Recurrent topics in Daniel Campbell's work include T-cell and B-cell Immunology (57 papers), Immune Cell Function and Interaction (56 papers) and Immunotherapy and Immune Responses (42 papers). Daniel Campbell is often cited by papers focused on T-cell and B-cell Immunology (57 papers), Immune Cell Function and Interaction (56 papers) and Immunotherapy and Immune Responses (42 papers). Daniel Campbell collaborates with scholars based in United States, United Kingdom and Austria. Daniel Campbell's co-authors include Eugene C. Butcher, Meghan A. Koch, Nikole Perdue, Steven F. Ziegler, Chang H. Kim, Kevin B. Urdahl, Justin R Killebrew, Shivani Srivastava, Thomas Duhen and Kate S. Smigiel and has published in prestigious journals such as Science, Cell and Journal of Clinical Investigation.

In The Last Decade

Daniel Campbell

107 papers receiving 10.0k 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.

The transcription factor T-bet controls regulatory T cell homeostasis and function during type 1 inflammation

2009 956 citations Daniel Campbell et al. profile →
Compartmentalized Control of Skin Immunity by Resident Commensals

2012 820 citations Shruti Naik, Nicolas Bouladoux et al. Science profile →
Thymic stromal lymphopoietin as a key initiator of allergic airway inflammation in mice

2005 651 citations Daniel Campbell et al. profile →
Phenotypical and functional specialization of FOXP3+ regulatory T cells

2011 599 citations Daniel Campbell et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Campbell United States	45	6.8k	1.4k	1.4k	1.3k	1.1k	108	10.2k
William Ollier United Kingdom	54	3.5k 0.5×	857 0.6×	689 0.5×	1.7k 1.3×	773 0.7×	313	11.1k
Katsuko Sudo Japan	44	6.8k 1.0×	882 0.6×	1.4k 1.0×	4.3k 3.3×	1.3k 1.2×	140	13.1k
Patricia Valdez United States	18	4.4k 0.7×	972 0.7×	803 0.6×	1.1k 0.9×	612 0.6×	21	7.1k
Marco Carli Italy	37	4.0k 0.6×	627 0.5×	616 0.5×	771 0.6×	1.2k 1.2×	98	7.8k
Jon D. Laman Netherlands	66	7.6k 1.1×	1.9k 1.4×	1.4k 1.1×	3.6k 2.8×	2.1k 2.0×	241	15.9k
David P. Andrew United States	36	4.9k 0.7×	330 0.2×	1.7k 1.3×	1.1k 0.8×	1.1k 1.0×	56	7.5k
David Fiorentino United States	54	8.0k 1.2×	2.0k 1.5×	2.3k 1.7×	2.9k 2.3×	1.0k 1.0×	140	17.2k
Nico Ghilardi United States	39	6.6k 1.0×	861 0.6×	1.4k 1.0×	1.6k 1.3×	1.1k 1.0×	55	10.7k
Takashi Nomura Japan	49	19.5k 2.9×	1.6k 1.1×	5.6k 4.1×	3.2k 2.5×	1.4k 1.3×	144	28.3k
John E. Sims United States	60	10.0k 1.5×	1.7k 1.3×	1.9k 1.4×	4.1k 3.2×	1.2k 1.2×	105	14.6k

Countries citing papers authored by Daniel Campbell

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Campbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Campbell

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

Wright, R Clay, Daniel Campbell, & Megan K. Levings. (2025). Pharmacotherapeutic strategies to promote regulatory T cell function in autoimmunity. Current Opinion in Immunology. 94. 102554–102554. 4 indexed citations

Campbell, Daniel, et al.. (2024). Obesity and Survival After Immune Checkpoint Inhibition for Head and Neck Squamous Cell Carcinoma. JAMA Otolaryngology–Head & Neck Surgery. 150(8). 688–688. 2 indexed citations

Rodda, Lauren B., Chihiro Morishima, Mark H. Wener, et al.. (2023). Diminished responses to mRNA-based SARS-CoV-2 vaccines in individuals with rheumatoid arthritis on immune-modifying therapies. JCI Insight. 8(15). 3 indexed citations

Hubert, Margaux, Laurie Besson, Yenkel Grinberg‐Bleyer, et al.. (2023). MDR1-expressing CD4⁺ T cells with Th1.17 features resist to neoadjuvant chemotherapy and are associated with breast cancer clinical response. Journal for ImmunoTherapy of Cancer. 11(11). e007733–e007733. 7 indexed citations

Becht, Étienne, Charles‐Antoine Dutertre, Peter A. Morawski, et al.. (2021). High-throughput single-cell quantification of hundreds of proteins using conventional flow cytometry and machine learning. Science Advances. 7(39). eabg0505–eabg0505. 40 indexed citations

Bolouri, Hamid, Cate Speake, David Skibinski, et al.. (2021). The COVID-19 immune landscape is dynamically and reversibly correlated with disease severity. Journal of Clinical Investigation. 131(3). 22 indexed citations

Mittelsteadt, Kristen, Erika Hayes, & Daniel Campbell. (2021). ICOS signaling limits regulatory T cell accumulation and function in visceral adipose tissue. The Journal of Experimental Medicine. 218(6). 21 indexed citations

Peng, Changwei, Kelsey M. Wanhainen, Todd P. Knutson, et al.. (2021). Engagement of the costimulatory molecule ICOS in tissues promotes establishment of CD8+ tissue-resident memory T cells. Immunity. 55(1). 98–114.e5. 60 indexed citations

Klicznik, Maria M., Martin Laimer, Andreas Sir, et al.. (2020). A novel humanized mouse model to study the function of human cutaneous memory T cells in vivo in human skin. Scientific Reports. 10(1). 11164–11164. 14 indexed citations

10.

Hayes, Erika, Cassidy E. Hagan, Liliane Khoryati, Marc A. Gavin, & Daniel Campbell. (2020). Regulatory T Cells Maintain Selective Access to IL-2 and Immune Homeostasis despite Substantially Reduced CD25 Function. The Journal of Immunology. 205(10). 2667–2678. 20 indexed citations

11.

Höllbacher, Barbara, Thomas Duhen, Samantha Motley, et al.. (2020). Transcriptomic Profiling of Human Effector and Regulatory T Cell Subsets Identifies Predictive Population Signatures. ImmunoHorizons. 4(10). 585–596. 33 indexed citations

12.

Morawski, Peter A., Samantha Motley, & Daniel Campbell. (2019). Rapid Light-Dependent Degradation of Fluorescent Dyes in Formulated Serum-Free Media. ImmunoHorizons. 3(12). 585–592. 9 indexed citations

13.

Klicznik, Maria M., et al.. (2018). Taking the lead – how keratinocytes orchestrate skin T cell immunity. Immunology Letters. 200. 43–51. 44 indexed citations

14.

Sullivan, Jenna M., Barbara Höllbacher, & Daniel Campbell. (2018). Cutting Edge: Dynamic Expression of Id3 Defines the Stepwise Differentiation of Tissue-Resident Regulatory T Cells. The Journal of Immunology. 202(1). 31–36. 34 indexed citations

15.

Karnell, Fredrick G., Dan Lin, Samantha Motley, et al.. (2017). Reconstitution of immune cell populations in multiple sclerosis patients after autologous stem cell transplantation. Clinical & Experimental Immunology. 189(3). 268–278. 52 indexed citations

16.

Duhen, Thomas & Daniel Campbell. (2013). Human CCR6+CXCR3+ "Th1/17" cells are polyfunctional and can develop from Th17 cells under the influence of IL-1{beta} and IL-12 (P4122). The Journal of Immunology. 190. 1 indexed citations

17.

Smigiel, Kate S., Elizabeth Richards, Shivani Srivastava, et al.. (2013). CCR7 provides localized access to IL-2 and defines homeostatically distinct regulatory T cell subsets. The Journal of Experimental Medicine. 211(1). 121–136. 310 indexed citations

18.

Campbell, Daniel, Frederick Shic, Suzanne Macari, & Katarzyna Chawarska. (2013). Gaze Response to Dyadic Bids at 2 Years Related to Outcomes at 3 Years in Autism Spectrum Disorders: A Subtyping Analysis. Journal of Autism and Developmental Disorders. 44(2). 431–442. 65 indexed citations

19.

Naik, Shruti, Nicolas Bouladoux, Christoph Wilhelm, et al.. (2012). Compartmentalized Control of Skin Immunity by Resident Commensals. Science. 337(6098). 1115–1119. 820 indexed citations breakdown →

20.

Campbell, Daniel, et al.. (2011). The effect of a visual aid on the comprehension of cataract surgery in a rural, indigent South Indian population. PubMed. 17(3). 16–22. 8 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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