Carmen Choi

506 total citations
9 papers, 440 citations indexed

About

Carmen Choi is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Carmen Choi has authored 9 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 3 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Carmen Choi's work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). Carmen Choi is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). Carmen Choi collaborates with scholars based in Germany, Switzerland and Israel. Carmen Choi's co-authors include Volker Schirrmacher, Philipp Beckhove, Markus Feuerer, Nora Sommerfeldt, Jochen Schwendemann, Viktor Umansky, Florian Schuetz, Peter Altevogt, G. Bastert and Hartmut Goldschmidt and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Carmen Choi

9 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmen Choi Germany 7 361 245 93 57 29 9 440
Soroosh Radfar United States 7 229 0.6× 130 0.5× 113 1.2× 27 0.5× 21 0.7× 10 363
Juergen Kuball United States 3 281 0.8× 275 1.1× 65 0.7× 32 0.6× 22 0.8× 5 387
Jennifer Klem United States 10 508 1.4× 128 0.5× 83 0.9× 86 1.5× 9 0.3× 15 576
Soyoko Morimoto Japan 13 209 0.6× 188 0.8× 196 2.1× 31 0.5× 21 0.7× 37 388
RP Nordan United States 7 250 0.7× 217 0.9× 158 1.7× 97 1.7× 23 0.8× 8 457
Sunnie Hsiung United States 10 286 0.8× 144 0.6× 109 1.2× 18 0.3× 34 1.2× 13 433
Mitsuko Ideno Japan 6 409 1.1× 341 1.4× 105 1.1× 27 0.5× 30 1.0× 9 479
C. Huber Germany 6 305 0.8× 160 0.7× 148 1.6× 10 0.2× 28 1.0× 10 397
J Spielman United States 10 309 0.9× 59 0.2× 204 2.2× 60 1.1× 18 0.6× 12 437
Rachel Soloff United States 11 211 0.6× 66 0.3× 159 1.7× 24 0.4× 26 0.9× 17 391

Countries citing papers authored by Carmen Choi

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Choi

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

All Works

9 of 9 papers shown
1.
Sommerfeldt, Nora, Philipp Beckhove, Yingzi Ge, et al.. (2006). Heparanase: A New Metastasis-Associated Antigen Recognized in Breast Cancer Patients by Spontaneously Induced Memory T Lymphocytes. Cancer Research. 66(15). 7716–7723. 43 indexed citations
2.
Schwendemann, Jochen, Carmen Choi, Volker Schirrmacher, & Philipp Beckhove. (2005). Dynamic Differentiation of Activated Human Peripheral Blood CD8+ and CD4+ Effector Memory T Cells. The Journal of Immunology. 175(3). 1433–1439. 44 indexed citations
3.
Schirrmacher, Volker, et al.. (2005). Tumor-immune memory T cells from the bone marrow exert GvL without GvH reactivity in advanced metastasized cancer. International Journal of Oncology. 27(4). 1141–9. 5 indexed citations
4.
Beckhove, Philipp, Markus Feuerer, Florian Schuetz, et al.. (2004). Specifically activated memory T cell subsets from cancer patients recognize and reject xenotransplanted autologous tumors. Journal of Clinical Investigation. 114(1). 67–76. 103 indexed citations
5.
Beckhove, Philipp, Markus Feuerer, Florian Schuetz, et al.. (2004). Specifically activated memory T cell subsets from cancer patients recognize and reject xenotransplanted autologous tumors. Journal of Clinical Investigation. 114(1). 67–76. 99 indexed citations
6.
Witzens‐Harig, Mathias, Carmen Choi, Mariana Bucur, et al.. (2004). Enrichment of functional CD8 memory T cells specific for MUC1 in Bone Marrow of Multiple Myeloma Patients. Cancer Cell International. 4(S1). 7 indexed citations
7.
Choi, Carmen, Mathias Witzens‐Harig, Markus Feuerer, et al.. (2004). Enrichment of functional CD8 memory T cells specific for MUC1 in bone marrow of patients with multiple myeloma. Blood. 105(5). 2132–2134. 94 indexed citations
8.
9.
Müerköster, Susanne Sebens, Markus Weigand, Carmen Choi, et al.. (2002). Superantigen reactive Vβ6+ T cells induce perforin/granzyme B mediated caspase-independent apoptosis in tumour cells. British Journal of Cancer. 86(5). 828–836. 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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