Carmen Gerlach

2.5k total citations
27 papers, 1.8k citations indexed

About

Carmen Gerlach is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Carmen Gerlach has authored 27 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 10 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Carmen Gerlach's work include T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (17 papers) and Immunotherapy and Immune Responses (9 papers). Carmen Gerlach is often cited by papers focused on T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (17 papers) and Immunotherapy and Immune Responses (9 papers). Carmen Gerlach collaborates with scholars based in Netherlands, United States and Sweden. Carmen Gerlach's co-authors include Ton N. Schumacher, Jeroen W. J. van Heijst, Erwin Swart, Leïla Perié, Rob J. de Boer, Nienke van Rooij, Shalin H. Naik, Anthonie J. Zwijnenburg, Ulrich H. von Andrian and Rohit Garg and has published in prestigious journals such as Nature, Science and The Journal of Experimental Medicine.

In The Last Decade

Carmen Gerlach

26 papers receiving 1.8k citations

Peers

Carmen Gerlach

IMMUN

ONCOL

HEMAT

Leïla Perié France

Yolanda R. Carrasco Spain

Naomi E. Harwood United Kingdom

Mónica Gordón‐Alonso Spain

Thaddeus C. George United States

William O’Gorman United States

Tanja A. Schwickert United States

Tomoya Katakai Japan

Ekaterina V. Putintseva Russia

Audrey Gérard United States

Leïla Perié France

Carmen Gerlach

883 ×0.7

IMMUN

596 ×1.1

283 ×0.6

ONCOL

193 ×1.3

241 ×1.9

HEMAT

Citations per year, relative to Carmen Gerlach Carmen Gerlach (= 1×) peers Leïla Perié

Countries citing papers authored by Carmen Gerlach

Since Specialization

Citations

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

Fields of papers citing papers by Carmen Gerlach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Gerlach

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

All Works

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20 of 20 papers shown

Gerlach, Carmen, et al.. (2025). The T cell subsetting challenge. Trends in Immunology. 46(7). 505–507.

Dunst, Josefine, Patrick A. Sandoz, Annika Reinhardt, et al.. (2024). Direct presentation of inflammation-associated self-antigens by thymic innate-like T cells induces elimination of autoreactive CD8+ thymocytes. Nature Immunology. 25(8). 1367–1382. 9 indexed citations

Zwijnenburg, Anthonie J., et al.. (2023). The cellular microenvironment regulates CX3CR1 expression on CD8 ⁺ T cells and the maintenance of CX3CR1 ⁺ CD8 ⁺ T cells. European Journal of Immunology. 54(1). e2350658–e2350658. 1 indexed citations

Gerlach, Carmen, et al.. (2023). Linking asymmetric cell division, CD8+ T cell fate, and signal strength. Cell Reports. 42(5). 112548–112548. 1 indexed citations

Borsa, Mariana & Carmen Gerlach. (2023). Heterologous immunity: innate function of memory CD4+ T cells. Nature reviews. Immunology. 23(9). 544–544. 1 indexed citations

Zwijnenburg, Anthonie J., Renata Varnaitė, Elena Hoffer, et al.. (2023). Graded expression of the chemokine receptor CX3CR1 marks differentiation states of human and murine T cells and enables cross-species interpretation. Immunity. 56(8). 1955–1974.e10. 39 indexed citations

Gerlach, Carmen, Ľudovít Škultéty, K. Henning, Heinrich Neubauer, & Katja Mertens‐Scholz. (2017). Coxiella burnetii immunogenic proteins as a basis for new Q fever diagnostic and vaccine development. Acta Virologica. 61(3). 377–390. 21 indexed citations

Neely, Harold R., Irina B. Mazo, Carmen Gerlach, & Ulrich H. von Andrian. (2017). Is There Natural Killer Cell Memory and Can It Be Harnessed by Vaccination?. Cold Spring Harbor Perspectives in Biology. 10(10). a029488–a029488. 7 indexed citations

Rohr, Jan, Carmen Gerlach, Lianne Kok, & Ton N. Schumacher. (2014). Single cell behavior in T cell differentiation. Trends in Immunology. 35(4). 170–177. 24 indexed citations

10.

Possik, Patrícia A., Judith Müller, Carmen Gerlach, et al.. (2014). Parallel In Vivo and In Vitro Melanoma RNAi Dropout Screens Reveal Synthetic Lethality between Hypoxia and DNA Damage Response Inhibition. Cell Reports. 9(4). 1375–1386. 31 indexed citations

11.

Gerlach, Carmen, Jan Rohr, Leïla Perié, et al.. (2013). Heterogeneous Differentiation Patterns of Individual CD8 ⁺ T Cells. Science. 340(6132). 635–639. 269 indexed citations

12.

Naik, Shalin H., Leïla Perié, Carmen Gerlach, et al.. (2013). Diverse and heritable lineage imprinting of early hematopoietic progenitors. Experimental Hematology. 41(8). S13–S13. 2 indexed citations

13.

Naik, Shalin H., Leïla Perié, Erwin Swart, et al.. (2013). Diverse and heritable lineage imprinting of early haematopoietic progenitors. Nature. 496(7444). 229–232. 282 indexed citations

14.

Gerlach, Carmen, Jeroen W. J. van Heijst, & Ton N. Schumacher. (2011). The descent of memory T cells. Annals of the New York Academy of Sciences. 1217(1). 139–153. 25 indexed citations

15.

Gerlach, Carmen, Jeroen W. J. van Heijst, Erwin Swart, et al.. (2010). One naive T cell, multiple fates in CD8+ T cell differentiation. The Journal of Experimental Medicine. 207(6). 1235–1246. 139 indexed citations

16.

Wensveen, Felix M., Klaas P. J. M. van Gisbergen, Ingrid A. M. Derks, et al.. (2010). Apoptosis Threshold Set by Noxa and Mcl-1 after T Cell Activation Regulates Competitive Selection of High-Affinity Clones. Immunity. 32(6). 754–765. 71 indexed citations

17.

Schumacher, Ton N., Carmen Gerlach, & Jeroen W. J. van Heijst. (2010). Mapping the life histories of T cells. Nature reviews. Immunology. 10(9). 621–631. 47 indexed citations

18.

Heijst, Jeroen W. J. van, Carmen Gerlach, Erwin Swart, et al.. (2009). Recruitment of Antigen-Specific CD8 ⁺ T Cells in Response to Infection Is Markedly Efficient. Science. 325(5945). 1265–1269. 117 indexed citations

19.

Schepers, Koen, Erwin Swart, Jeroen W. J. van Heijst, et al.. (2008). Dissecting T cell lineage relationships by cellular barcoding. The Journal of Experimental Medicine. 205(10). 2309–2318. 101 indexed citations

20.

Dressel, Alexander, Dagmara Mirowska-Guzeł, Carmen Gerlach, & Frank Weber. (2007). Migration of T-cell subsets in multiple sclerosis and the effect of interferon-?1a. Acta Neurologica Scandinavica. 116(3). 164–168. 18 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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