Charles J. Kroger

552 total citations
17 papers, 428 citations indexed

About

Charles J. Kroger is a scholar working on Immunology, Genetics and Surgery. According to data from OpenAlex, Charles J. Kroger has authored 17 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 9 papers in Genetics and 4 papers in Surgery. Recurrent topics in Charles J. Kroger's work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (11 papers) and Diabetes and associated disorders (9 papers). Charles J. Kroger is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (11 papers) and Diabetes and associated disorders (9 papers). Charles J. Kroger collaborates with scholars based in United States, Russia and Mexico. Charles J. Kroger's co-authors include Roland Tisch, Matthew Clark, Martha A. Alexander‐Miller, Ke Qi, Nicholas A. Spidale, Bo Wang, Bo Wang, Samuel Amoah, Eric M. Bachelder and Naihan Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Frontiers in Immunology.

In The Last Decade

Charles J. Kroger

16 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles J. Kroger United States 13 259 141 99 90 73 17 428
Natascha de Graaf Netherlands 9 104 0.4× 81 0.6× 116 1.2× 83 0.9× 178 2.4× 13 366
Isabelle Tardivel France 7 72 0.3× 99 0.7× 62 0.6× 45 0.5× 58 0.8× 13 232
Maja Wållberg United Kingdom 11 182 0.7× 195 1.4× 134 1.4× 84 0.9× 86 1.2× 18 405
Anne Costanzo United States 10 385 1.5× 81 0.6× 59 0.6× 41 0.5× 124 1.7× 14 603
Ashley E. Ciecko United States 10 115 0.4× 163 1.2× 122 1.2× 66 0.7× 67 0.9× 19 308
Klára Farkas Hungary 9 93 0.4× 130 0.9× 94 0.9× 82 0.9× 30 0.4× 26 316
Zia U.A. Mollah Japan 10 239 0.9× 94 0.7× 65 0.7× 41 0.5× 77 1.1× 11 417
Uta Opitz Germany 9 195 0.8× 62 0.4× 37 0.4× 23 0.3× 92 1.3× 20 386
Xuan Geng Canada 4 189 0.7× 137 1.0× 86 0.9× 51 0.6× 146 2.0× 5 415
Andrea Fuhrer Switzerland 6 96 0.4× 92 0.7× 62 0.6× 91 1.0× 124 1.7× 11 433

Countries citing papers authored by Charles J. Kroger

Since Specialization
Citations

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

Fields of papers citing papers by Charles J. Kroger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles J. Kroger. 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 Charles J. Kroger. The network helps show where Charles J. Kroger may publish in the future.

Co-authorship network of co-authors of Charles J. Kroger

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

All Works

17 of 17 papers shown
1.
Clark, Matthew, Charles J. Kroger, Ke Qi, et al.. (2021). Coreceptor therapy has distinct short- and long-term tolerogenic effects intrinsic to autoreactive effector T cells. JCI Insight. 6(17). 2 indexed citations
2.
Clark, Matthew, Charles J. Kroger, Ke Qi, & Roland Tisch. (2021). The Role of T Cell Receptor Signaling in the Development of Type 1 Diabetes. Frontiers in Immunology. 11. 615371–615371. 21 indexed citations
3.
Qi, Ke, Charles J. Kroger, Matthew Clark, & Roland Tisch. (2021). Evolving Antibody Therapies for the Treatment of Type 1 Diabetes. Frontiers in Immunology. 11. 624568–624568. 24 indexed citations
4.
Marfil‐Garza, Braulio A., Rena Pawlick, Charles J. Kroger, et al.. (2021). Tumor necrosis factor receptor superfamily member 25 (TNFRSF25) agonists in islet transplantation: Endogenous in vivo regulatory T cell expansion promotes prolonged allograft survival. American Journal of Transplantation. 22(4). 1101–1114. 14 indexed citations
5.
Wang, Bo, Y. Maurice Morillon, R. Balfour Sartor, et al.. (2020). Thymic Development of Autoreactive T Cells in NOD Mice Is Regulated in an Age-Dependent Manner. UNC Libraries.
6.
Chen, Naihan, Charles J. Kroger, Roland Tisch, Eric M. Bachelder, & Kristy M. Ainslie. (2018). Prevention of Type 1 Diabetes with Acetalated Dextran Microparticles Containing Rapamycin and Pancreatic Peptide P31. Advanced Healthcare Materials. 7(18). e1800341–e1800341. 33 indexed citations
7.
Kroger, Charles J., Matthew Clark, Ke Qi, & Roland Tisch. (2018). Therapies to Suppress β Cell Autoimmunity in Type 1 Diabetes. Frontiers in Immunology. 9. 1891–1891. 25 indexed citations
8.
Clark, Matthew, Charles J. Kroger, & Roland Tisch. (2017). Type 1 Diabetes: A Chronic Anti-Self-Inflammatory Response. Frontiers in Immunology. 8. 1898–1898. 108 indexed citations
9.
Kroger, Charles J., Nicholas A. Spidale, Bo Wang, & Roland Tisch. (2016). Thymic Dendritic Cell Subsets Display Distinct Efficiencies and Mechanisms of Intercellular MHC Transfer. The Journal of Immunology. 198(1). 249–256. 36 indexed citations
10.
Kroger, Charles J., Bo Wang, & Roland Tisch. (2016). Temporal increase in thymocyte negative selection parallels enhanced thymic SIRPα+ DC function. European Journal of Immunology. 46(10). 2352–2362. 18 indexed citations
11.
He, Qiuming, Y. Maurice Morillon, Nicholas A. Spidale, et al.. (2013). Thymic Development of Autoreactive T Cells in NOD Mice Is Regulated in an Age-Dependent Manner. The Journal of Immunology. 191(12). 5858–5866. 28 indexed citations
12.
Kroger, Charles J., et al.. (2010). Dysregulation of Thymic Clonal Deletion and the Escape of Autoreactive T Cells. Archivum Immunologiae et Therapiae Experimentalis. 58(6). 449–457. 3 indexed citations
13.
Wallet, Mark A., Rafael R. Flores, Yaming Wang, et al.. (2009). MerTK regulates thymic selection of autoreactive T cells. Proceedings of the National Academy of Sciences. 106(12). 4810–4815. 32 indexed citations
14.
Kroger, Charles J., Samuel Amoah, & Martha A. Alexander‐Miller. (2008). Cutting Edge: Dendritic Cells Prime a High Avidity CTL Response Independent of the Level of Presented Antigen. The Journal of Immunology. 180(9). 5784–5788. 20 indexed citations
15.
Kroger, Charles J. & Martha A. Alexander‐Miller. (2007). Dose‐dependent modulation of CD8 and functional avidity as a result of peptide encounter. Immunology. 122(2). 167–178. 23 indexed citations
16.
Kroger, Charles J. & Martha A. Alexander‐Miller. (2007). Cutting Edge: CD8+ T Cell Clones Possess the Potential to Differentiate into both High- and Low-Avidity Effector Cells. The Journal of Immunology. 179(2). 748–751. 35 indexed citations
17.
Cawthon, Andrew G., Charles J. Kroger, & Martha A. Alexander‐Miller. (2004). High avidity CD8+ T cells generated from CD28-deficient or wildtype mice exhibit a differential dependence on lipid raft integrity for activation. Cellular Immunology. 227(2). 148–155. 6 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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