Harold D. Chapman

2.5k total citations
42 papers, 2.1k citations indexed

About

Harold D. Chapman is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Harold D. Chapman has authored 42 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 28 papers in Immunology and 14 papers in Surgery. Recurrent topics in Harold D. Chapman's work include Diabetes and associated disorders (35 papers), T-cell and B-cell Immunology (24 papers) and Immune Cell Function and Interaction (24 papers). Harold D. Chapman is often cited by papers focused on Diabetes and associated disorders (35 papers), T-cell and B-cell Immunology (24 papers) and Immune Cell Function and Interaction (24 papers). Harold D. Chapman collaborates with scholars based in United States, United Kingdom and Spain. Harold D. Chapman's co-authors include David Serreze, Edward H. Leiter, Roland Tisch, Sara Fleming, Robert T. Graser, Pablo A. Silveira, Derry C. Roopenian, Teresa P. DiLorenzo, Stanley G. Nathenson and Ellis Johnson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Harold D. Chapman

41 papers receiving 2.1k citations

Peers

Harold D. Chapman
M C Appel United States
Thomas Delong United States
Lisa M. Spain United States
Vitaly Ablamunits United States
C. Randall Fuller United States
M C Appel United States
Harold D. Chapman
Citations per year, relative to Harold D. Chapman Harold D. Chapman (= 1×) peers M C Appel

Countries citing papers authored by Harold D. Chapman

Since Specialization
Citations

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

Fields of papers citing papers by Harold D. Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold D. Chapman. 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 Harold D. Chapman. The network helps show where Harold D. Chapman may publish in the future.

Co-authorship network of co-authors of Harold D. Chapman

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

All Works

20 of 20 papers shown
1.
Racine, Jeremy J., et al.. (2025). Direct-in-NOD genetic ablation of Bcl3 leads to complete type 1 diabetes protection. The Journal of Immunology. 214(11). 2847–2860.
3.
Racine, Jeremy J., Harold D. Chapman, Rosalinda Doty, et al.. (2020). T Cells from NOD-PerIg Mice Target Both Pancreatic and Neuronal Tissue. The Journal of Immunology. 205(8). 2026–2038. 4 indexed citations
4.
Egia‐Mendikute, Leire, Jorge Carrillo, Conchi Mora, et al.. (2019). B-Lymphocyte Phenotype Determines T-Lymphocyte Subset Differentiation in Autoimmune Diabetes. Frontiers in Immunology. 10. 1732–1732. 5 indexed citations
5.
Ali, Riyasat, et al.. (2018). HLA-B*39:06 Efficiently Mediates Type 1 Diabetes in a Mouse Model Incorporating Reduced Thymic Insulin Expression. The Journal of Immunology. 200(10). 3353–3363. 19 indexed citations
6.
Driver, John P., Jeremy J. Racine, Ye Cheng, et al.. (2016). Interferon-γ Limits Diabetogenic CD8+ T-Cell Effector Responses in Type 1 Diabetes. Diabetes. 66(3). 710–721. 26 indexed citations
7.
Serreze, David, Caroline Choisy-Rossi, Harold D. Chapman, et al.. (2008). Through Regulation of TCR Expression Levels, an Idd7 Region Gene(s) Interactively Contributes to the Impaired Thymic Deletion of Autoreactive Diabetogenic CD8+ T Cells in Nonobese Diabetic Mice. The Journal of Immunology. 180(5). 3250–3259. 19 indexed citations
8.
Silveira, Pablo A., Harold D. Chapman, Jessica Stolp, et al.. (2006). Genes within the Idd5 and Idd9/11 Diabetes Susceptibility Loci Affect the Pathogenic Activity of B Cells in Nonobese Diabetic Mice. The Journal of Immunology. 177(10). 7033–7041. 25 indexed citations
9.
Chen, Jing, Melissa Osborne, Harold D. Chapman, et al.. (2006). CD38 Is Required for the Peripheral Survival of Immunotolerogenic CD4+ Invariant NK T Cells in Nonobese Diabetic Mice. The Journal of Immunology. 177(5). 2939–2947. 24 indexed citations
10.
Serreze, David, Melissa Osborne, Yi‐Guang Chen, et al.. (2006). Partial versus Full Allogeneic Hemopoietic Chimerization Is a Preferential Means to Inhibit Type 1 Diabetes as the Latter Induces Generalized Immunosuppression. The Journal of Immunology. 177(10). 6675–6684. 19 indexed citations
11.
Holl, Thomas M., Harold D. Chapman, Gurdyal S. Besra, et al.. (2005). Activated NKT Cells Inhibit Autoimmune Diabetes through Tolerogenic Recruitment of Dendritic Cells to Pancreatic Lymph Nodes. The Journal of Immunology. 174(3). 1196–1204. 117 indexed citations
12.
Serreze, David, et al.. (2003). Paralytic Autoimmune Myositis Develops in Nonobese Diabetic Mice Made Th1 Cytokine-Deficient by Expression of an IFN-γ Receptor β-Chain Transgene. The Journal of Immunology. 170(5). 2742–2749. 7 indexed citations
13.
Silveira, Pablo A., Ellis Johnson, Harold D. Chapman, et al.. (2002). The preferential ability of B lymphocytes to act as diabetogenic APC in NOD mice depends on expression of self-antigen-specific immunoglobulin receptors. European Journal of Immunology. 32(12). 3657–3666. 131 indexed citations
14.
DiLorenzo, Teresa P., Scott M. Lieberman, Toshiyuki Takaki, et al.. (2002). During the Early Prediabetic Period in NOD Mice, the Pathogenic CD8+ T-Cell Population Comprises Multiple Antigenic Specificities. Clinical Immunology. 105(3). 332–341. 34 indexed citations
15.
Serreze, David, et al.. (2001). Th1 to Th2 Cytokine Shifts in Nonobese Diabetic Mice: Sometimes an Outcome, Rather Than the Cause, of Diabetes Resistance Elicited by Immunostimulation. The Journal of Immunology. 166(2). 1352–1359. 148 indexed citations
16.
Johnson, E. A., Pablo A. Silveira, Harold D. Chapman, Edward H. Leiter, & David Serreze. (2001). Inhibition of Autoimmune Diabetes in Nonobese Diabetic Mice by Transgenic Restoration of H2-E MHC Class II Expression: Additive, But Unequal, Involvement of Multiple APC Subtypes. The Journal of Immunology. 167(4). 2404–2410. 34 indexed citations
17.
Serreze, David, E. A. Johnson, Harold D. Chapman, et al.. (2001). Autoreactive Diabetogenic T-Cells in NOD Mice Can Efficiently Expand From a Greatly Reduced Precursor Pool. Diabetes. 50(9). 1992–2000. 36 indexed citations
18.
Leiter, Edward H., Hideki Tsumura, David Serreze, et al.. (1997). Mapping to Chromosomes 1 and 12 of mouse homologs of human protein tyrosine phosphatase, receptor-type, related genes encoding pancreatic beta cell autoantigens. Mammalian Genome. 8(12). 949–950. 6 indexed citations
19.
Sharma, Seema, James Leonard, Soon Lee, et al.. (1996). Pancreatic Islet Expression of the Homeobox Factor STF-1 Relies on an E-box Motif That Binds USF. Journal of Biological Chemistry. 271(4). 2294–2299. 75 indexed citations
20.
Dooley, Thomas P., Edward H. Leiter, Harold D. Chapman, et al.. (1993). Mapping of the Phenol Sulfotransferase Gene (STP) to Human Chromosome 16p12.1-p11.2 and to Mouse Chromosome 7. Genomics. 18(2). 440–443. 53 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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