Charles G. Rickert

2.1k total citations · 1 hit paper
24 papers, 1.4k citations indexed

About

Charles G. Rickert is a scholar working on Immunology, Surgery and Oncology. According to data from OpenAlex, Charles G. Rickert has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Surgery and 6 papers in Oncology. Recurrent topics in Charles G. Rickert's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers) and Renal Transplantation Outcomes and Treatments (5 papers). Charles G. Rickert is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers) and Renal Transplantation Outcomes and Treatments (5 papers). Charles G. Rickert collaborates with scholars based in United States, China and United Kingdom. Charles G. Rickert's co-authors include Cora D. Arthur, Robert D. Schreiber, Ravindra Uppaluri, Elaine R. Mardis, J. Michael White, Michael C. Wendl, Lauren Shea, Ryan Demeter, Vincent Magrini and Mark J. Smyth and has published in prestigious journals such as Nature, Annals of Surgery and Clinical Cancer Research.

In The Last Decade

Charles G. Rickert

23 papers receiving 1.4k citations

Hit Papers

Cancer exome analysis reveals a T-cell-dependent mechanis... 2012 2026 2016 2021 2012 250 500 750

Peers

Charles G. Rickert
David L. Bajor United States
Maria Libera Ascierto United States
Edward F. McClay United States
Ruth Oratz United States
Fatima Karzai United States
Li Zhou China
David L. Bajor United States
Charles G. Rickert
Citations per year, relative to Charles G. Rickert Charles G. Rickert (= 1×) peers David L. Bajor

Countries citing papers authored by Charles G. Rickert

Since Specialization
Citations

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

Fields of papers citing papers by Charles G. Rickert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles G. Rickert

This figure shows the co-authorship network connecting the top 25 collaborators of Charles G. Rickert. A scholar is included among the top collaborators of Charles G. Rickert 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 G. Rickert. Charles G. Rickert 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.
Tingle, Samuel J, Georgios Kourounis, Chris E. Freise, et al.. (2025). Pre‐Donation Cardiac Arrest and Liver Transplantation Outcomes: Implications for Ischemic Preconditioning. Clinical Transplantation. 39(9). e70309–e70309. 1 indexed citations
2.
Rickert, Charles G. & James F. Markmann. (2024). Another Detrimental Effect of Immunosuppression: Metabolic Syndrome. Transplantation. 108(11). e344–e345.
3.
Guinan, Eva C., Laura Contreras‐Ruiz, Kerry Crisalli, et al.. (2023). Donor antigen-specific regulatory T cell administration to recipients of live donor kidneys: A ONE Study consortium pilot trial. American Journal of Transplantation. 23(12). 1872–1881. 13 indexed citations
4.
Fu, Qiang, Guoli Huai, Ji Lei, et al.. (2022). Suppression of allograft rejection by regulatory B cells induced via TLR signaling. JCI Insight. 7(17). 12 indexed citations
5.
Rickert, Charles G. & James F. Markmann. (2022). Transplantation in the Age of Precision Medicine: The Emerging Field of Treg Therapy. Seminars in Nephrology. 42(1). 76–85. 1 indexed citations
6.
Hung, Ya‐Ching, Ya–Wen Chen, Charles G. Rickert, et al.. (2021). Practitioner availability rather than surgical quality impacts the utilization of liver transplantation for hepatocellular carcinoma. HPB. 23(6). 861–867. 1 indexed citations
7.
Lei, Ji, Hongping Deng, Zhihong Yang, et al.. (2021). Intrapleural transplantation of allogeneic pancreatic islets achieves glycemic control in a diabetic non-human primate. American Journal of Transplantation. 22(3). 966–972. 9 indexed citations
8.
Tanimine, Naoki, Bryna E. Burrell, Charles G. Rickert, et al.. (2021). Detection of alloreactive T cells from cryopreserved human peripheral blood mononuclear cells. Journal of Immunological Methods. 491. 112987–112987. 2 indexed citations
9.
Fu, Qiang, Kang Mi Lee, Guoli Huai, et al.. (2021). Properties of regulatory B cells regulating B cell targets. American Journal of Transplantation. 21(12). 3847–3857. 8 indexed citations
10.
Matheson, Rudy, et al.. (2021). Machine Perfusion of the Liver: A Review of Clinical Trials. Frontiers in Surgery. 8. 625394–625394. 25 indexed citations
11.
McKinley, Sophia K., Zhi Ven Fong, Brooks V. Udelsman, & Charles G. Rickert. (2020). Successful Virtual Interviews. Annals of Surgery. 273(2). e55–e59. 23 indexed citations
12.
Coe, Taylor M., James F. Markmann, & Charles G. Rickert. (2020). Current status of porcine islet xenotransplantation. Current Opinion in Organ Transplantation. 25(5). 449–456. 27 indexed citations
13.
Kimura, Shoko, Charles G. Rickert, Lisa Kojima, et al.. (2019). Regulatory B cells require antigen recognition for effective allograft tolerance induction. American Journal of Transplantation. 20(4). 977–987. 18 indexed citations
14.
Bababekov, Yanik J., Ya‐Ching Hung, David C. Chang, et al.. (2019). Do Social Determinants Define “Too Sick” to Transplant in Patients With End-stage Liver Disease?. Transplantation. 104(2). 280–284. 8 indexed citations
15.
Lee, Kang Mi, Lisa Kojima, Chen Dai, et al.. (2018). Ex vivo Expanded Regulatory B Cells Promote Allograft Survival through IL-10-dependent Pathway. Transplantation. 102(Supplement 7). S13–S13. 1 indexed citations
16.
Onken, Michael D., Ashley E. Winkler, Krishna-Latha Kanchi, et al.. (2014). A Surprising Cross-Species Conservation in the Genomic Landscape of Mouse and Human Oral Cancer Identifies a Transcriptional Signature Predicting Metastatic Disease. Clinical Cancer Research. 20(11). 2873–2884. 83 indexed citations
17.
Chan, Szeman Ruby, Charles G. Rickert, William Vermi, et al.. (2013). Dysregulated STAT1-SOCS1 control of JAK2 promotes mammary luminal progenitor cell survival and drives ERα+ tumorigenesis. Cell Death and Differentiation. 21(2). 234–246. 37 indexed citations
18.
Chan, Szeman Ruby, William Vermi, Jingqin Luo, et al.. (2012). STAT1-deficient mice spontaneously develop estrogen receptor α-positive luminal mammary carcinomas. Breast Cancer Research. 14(1). R16–R16. 140 indexed citations
19.
Matsushita, Hirokazu, Matthew D. Vesely, Daniel C. Koboldt, et al.. (2012). Cancer exome analysis reveals a T-cell-dependent mechanism of cancer immunoediting. Nature. 482(7385). 400–404. 932 indexed citations breakdown →
20.
Hackman, Trevor, Charles G. Rickert, Anne E. Getz, & Ravindra Uppaluri. (2011). Endoscopic surgical management of vidian nerve schwannoma. The Laryngoscope. 121(2). 241–244. 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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