Benjamin Tschumi

1.1k total citations
8 papers, 558 citations indexed

About

Benjamin Tschumi is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Benjamin Tschumi has authored 8 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Benjamin Tschumi's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (3 papers) and Immunotherapy and Immune Responses (3 papers). Benjamin Tschumi is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (3 papers) and Immunotherapy and Immune Responses (3 papers). Benjamin Tschumi collaborates with scholars based in Switzerland, United States and China. Benjamin Tschumi's co-authors include Pedro Romero, Alena Donda, Lianjun Zhang, Fabien Franco, Ping‐Chih Ho, Isabel C. López‐Mejía, Lluís Fajas, Mathias Wenes, Jean‐Pierre Mach and Michael N. Hall and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and Cell Metabolism.

In The Last Decade

Benjamin Tschumi

8 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Tschumi Switzerland	7	350	244	200	101	44	8	558
Alison Jaccard Switzerland	3	298 0.9×	237 1.0×	162 0.8×	85 0.8×	40 0.9×	4	485
Maryam Aftabizadeh United States	6	194 0.6×	229 0.9×	209 1.0×	170 1.7×	35 0.8×	12	517
Norah Sadek United States	4	339 1.0×	308 1.3×	228 1.1×	212 2.1×	48 1.1×	7	624
Sara Caratelli Italy	11	215 0.6×	281 1.2×	154 0.8×	41 0.4×	76 1.7×	15	495
Amr Al‐Haidari Sweden	7	249 0.7×	171 0.7×	255 1.3×	153 1.5×	20 0.5×	7	580
Silvia Panetti United Kingdom	5	252 0.7×	210 0.9×	131 0.7×	62 0.6×	41 0.9×	6	425
Adam Yalin Israel	6	407 1.2×	164 0.7×	206 1.0×	62 0.6×	25 0.6×	7	577
Polina Weitzenfeld Israel	8	288 0.8×	306 1.3×	240 1.2×	79 0.8×	18 0.4×	9	573
Yuncheng Bei China	9	253 0.7×	276 1.1×	150 0.8×	46 0.5×	59 1.3×	14	474
Chae Won Kim South Korea	12	206 0.6×	146 0.6×	227 1.1×	102 1.0×	36 0.8×	25	495

Countries citing papers authored by Benjamin Tschumi

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Tschumi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Tschumi

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

All Works

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8 of 8 papers shown

1.

Wenes, Mathias, Alison Jaccard, Tania Wyss, et al.. (2022). The mitochondrial pyruvate carrier regulates memory T cell differentiation and antitumor function. Cell Metabolism. 34(5). 731–746.e9. 130 indexed citations

2.

Tschumi, Benjamin, et al.. (2022). Abstract 2303: The WEE1 inhibitor Debio 0123 enhances the efficacy of standard of care DNA damaging agents in lung cancer models. Cancer Research. 82(12_Supplement). 2303–2303. 1 indexed citations

3.

Tschumi, Benjamin, Mathias Wenes, Haiping Wang, et al.. (2020). Enforced PGC-1α expression promotes CD8 T cell fitness, memory formation and antitumor immunity. Cellular and Molecular Immunology. 18(7). 1761–1771. 118 indexed citations

4.

Cheng, Wan-Chen, Simone Ragusa, Viktor H. Koelzer, et al.. (2019). Uncoupling protein 2 reprograms the tumor microenvironment to support the anti-tumor immune cycle. Nature Immunology. 20(2). 206–217. 59 indexed citations

5.

Botelho, Natalia K., Benjamin Tschumi, Jeffrey A. Hubbell, et al.. (2019). Combination of Synthetic Long Peptides and XCL1 Fusion Proteins Results in Superior Tumor Control. Frontiers in Immunology. 10. 294–294. 27 indexed citations

6.

Tschumi, Benjamin, Lianjun Zhang, Pascal Schneider, et al.. (2018). CART cells are prone to Fas- and DR5-mediated cell death. Journal for ImmunoTherapy of Cancer. 6(1). 71–71. 58 indexed citations

7.

Zhang, Lianjun, Benjamin Tschumi, Isabel C. López‐Mejía, et al.. (2016). Mammalian Target of Rapamycin Complex 2 Controls CD8 T Cell Memory Differentiation in a Foxo1-Dependent Manner. Cell Reports. 14(5). 1206–1217. 107 indexed citations

8.

Zhang, Lianjun, Benjamin Tschumi, Stéphanie Corgnac, et al.. (2014). Mammalian Target of Rapamycin Complex 1 Orchestrates Invariant NKT Cell Differentiation and Effector Function. The Journal of Immunology. 193(4). 1759–1765. 58 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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