Adam B. Kramer

451 total citations
10 papers, 218 citations indexed

About

Adam B. Kramer is a scholar working on Oncology, Immunology and Electrical and Electronic Engineering. According to data from OpenAlex, Adam B. Kramer has authored 10 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 8 papers in Immunology and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Adam B. Kramer's work include CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (4 papers). Adam B. Kramer is often cited by papers focused on CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (4 papers). Adam B. Kramer collaborates with scholars based in United States. Adam B. Kramer's co-authors include Lili Yang, Yan-Ruide Li, Matthew Wilson, Yichen Zhu, Ying Fang, Kuangyi Zhou, Yang Zhou, Zachary Spencer Dunn, Yanqi Yu and James Brown and has published in prestigious journals such as International Journal of Molecular Sciences, Molecular Therapy and Cancer Discovery.

In The Last Decade

Adam B. Kramer

10 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam B. Kramer United States 10 182 143 51 30 28 10 218
Gabriel A. Barragán United States 5 159 0.9× 116 0.8× 36 0.7× 39 1.3× 28 1.0× 8 188
Kuangyi Zhou United States 7 193 1.1× 158 1.1× 56 1.1× 29 1.0× 32 1.1× 7 246
Natalia Izotova United Kingdom 5 140 0.8× 120 0.8× 74 1.5× 57 1.9× 24 0.9× 9 219
Xinyi Teng China 5 125 0.7× 63 0.4× 52 1.0× 28 0.9× 42 1.5× 10 171
Gabriele De Simone Italy 5 94 0.5× 98 0.7× 36 0.7× 17 0.6× 13 0.5× 6 153
Ana Textor Germany 5 100 0.5× 68 0.5× 34 0.7× 22 0.7× 37 1.3× 6 137
Jiangqing Chen China 7 218 1.2× 108 0.8× 96 1.9× 57 1.9× 64 2.3× 9 282
Alexis Cuffel France 6 105 0.6× 60 0.4× 45 0.9× 20 0.7× 34 1.2× 7 140
Austin K. Rennels United States 4 156 0.9× 55 0.4× 80 1.6× 57 1.9× 35 1.3× 4 191
Patrick Layritz Germany 3 108 0.6× 93 0.7× 26 0.5× 17 0.6× 20 0.7× 4 144

Countries citing papers authored by Adam B. Kramer

Since Specialization
Citations

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

Fields of papers citing papers by Adam B. Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam B. Kramer. 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 Adam B. Kramer. The network helps show where Adam B. Kramer may publish in the future.

Co-authorship network of co-authors of Adam B. Kramer

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

All Works

10 of 10 papers shown
1.
Vostrejs, William P., Rina Sor, Samantha B. Kemp, et al.. (2025). T-cell Dependency of Tumor Regressions and Complete Responses with RAS(ON) Multi-selective Inhibition in Preclinical Models of Pancreatic Ductal Adenocarcinoma. Cancer Discovery. 15(8). 1697–1716. 9 indexed citations
2.
Fang, Ying, et al.. (2023). Graft-versus-Host Disease Modulation by Innate T Cells. International Journal of Molecular Sciences. 24(4). 4084–4084. 10 indexed citations
3.
Chen, Yuning, Yichen Zhu, Adam B. Kramer, et al.. (2023). Genetic engineering strategies to enhance antitumor reactivity and reduce alloreactivity for allogeneic cell-based cancer therapy. Frontiers in Medicine. 10. 1135468–1135468. 12 indexed citations
4.
Li, Yan-Ruide, Yichen Zhu, Adam B. Kramer, et al.. (2023). Profiling ovarian cancer tumor and microenvironment during disease progression for cell-based immunotherapy design. iScience. 26(10). 107952–107952. 14 indexed citations
5.
Li, Yan-Ruide, Kuangyi Zhou, Matthew Wilson, et al.. (2022). Mucosal-associated invariant T cells for cancer immunotherapy. Molecular Therapy. 31(3). 631–646. 45 indexed citations
6.
Li, Yan-Ruide, James Brown, Yanqi Yu, et al.. (2022). Targeting Immunosuppressive Tumor-Associated Macrophages Using Innate T Cells for Enhanced Antitumor Reactivity. Cancers. 14(11). 2749–2749. 48 indexed citations
7.
Li, Yan-Ruide, Yanqi Yu, Adam B. Kramer, et al.. (2022). An Ex Vivo 3D Tumor Microenvironment-Mimicry Culture to Study TAM Modulation of Cancer Immunotherapy. Cells. 11(9). 1583–1583. 16 indexed citations
8.
Li, Yan-Ruide, Yang Zhou, Matthew Wilson, et al.. (2022). Tumor-Localized Administration of α-GalCer to Recruit Invariant Natural Killer T Cells and Enhance Their Antitumor Activity against Solid Tumors. International Journal of Molecular Sciences. 23(14). 7547–7547. 11 indexed citations
9.
Li, Yan-Ruide, Samuel Zeng, Zachary Spencer Dunn, et al.. (2022). Off-the-shelf third-party HSC-engineered iNKT cells for ameliorating GvHD while preserving GvL effect in the treatment of blood cancers. iScience. 25(9). 104859–104859. 26 indexed citations
10.
Li, Yan-Ruide, Yang Zhou, Adam B. Kramer, & Lili Yang. (2021). Engineering stem cells for cancer immunotherapy. Trends in cancer. 7(12). 1059–1073. 27 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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