Gerd Müller

2.0k total citations
28 papers, 1.6k citations indexed

About

Gerd Müller is a scholar working on Immunology, Oncology and Physiology. According to data from OpenAlex, Gerd Müller has authored 28 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 12 papers in Oncology and 6 papers in Physiology. Recurrent topics in Gerd Müller's work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (10 papers) and Immunotherapy and Immune Responses (10 papers). Gerd Müller is often cited by papers focused on T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (10 papers) and Immunotherapy and Immune Responses (10 papers). Gerd Müller collaborates with scholars based in Germany, United States and Netherlands. Gerd Müller's co-authors include Martin Lipp, Uta E. Höpken, Federica Sallusto, Friederike Berberich‐Siebelt, Martin Vaeth, Edgar Serfling, Harald Stein, Stefan Klein-Heßling, Ingolf Berberich and Roland Mertelsmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Gerd Müller

28 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerd Müller Germany 20 1.0k 464 240 193 177 28 1.6k
Julio Gómez‐Rodríguez United States 19 1.3k 1.3× 289 0.6× 300 1.3× 193 1.0× 168 0.9× 29 1.8k
Stephen B. Gauld United States 21 1.2k 1.2× 296 0.6× 361 1.5× 164 0.8× 88 0.5× 40 1.8k
Timothy R. Hercus Australia 24 1.1k 1.0× 458 1.0× 454 1.9× 53 0.3× 205 1.2× 39 1.8k
Naoko Nakano Japan 13 1.3k 1.3× 525 1.1× 408 1.7× 91 0.5× 133 0.8× 26 1.9k
Frann Bennett United States 10 1.1k 1.1× 407 0.9× 162 0.7× 205 1.1× 82 0.5× 14 1.5k
J A Carlino United States 13 1.0k 1.0× 294 0.6× 314 1.3× 176 0.9× 88 0.5× 22 1.5k
Glennda Smithson United States 21 839 0.8× 292 0.6× 480 2.0× 71 0.4× 154 0.9× 41 1.7k
Gretta L. Stritesky United States 15 2.1k 2.1× 588 1.3× 343 1.4× 215 1.1× 129 0.7× 22 2.6k
S Suematsu Japan 9 973 1.0× 683 1.5× 633 2.6× 152 0.8× 204 1.2× 14 1.9k
Sophie Hillion France 26 1.1k 1.1× 148 0.3× 268 1.1× 184 1.0× 172 1.0× 56 1.7k

Countries citing papers authored by Gerd Müller

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerd Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Gerd Müller. A scholar is included among the top collaborators of Gerd Müller 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 Gerd Müller. Gerd Müller 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.
González‐Rodríguez, Sara, et al.. (2017). Cytotoxic T cells modulate inflammation and endogenous opioid analgesia in chronic arthritis. Journal of Neuroinflammation. 14(1). 30–30. 37 indexed citations
2.
Brunner, Cornelia, et al.. (2016). The transcriptional coactivator Bob1 promotes the development of follicular T helper cells via Bcl6. The EMBO Journal. 35(8). 881–898. 32 indexed citations
3.
Oden, Felix, Stephen F. Marino, Jörg Westermann, et al.. (2015). Potent anti‐tumor response by targeting B cell maturation antigen (BCMA) in a mouse model of multiple myeloma. Molecular Oncology. 9(7). 1348–1358. 24 indexed citations
4.
5.
Bang, Holger, et al.. (2013). A chronic model of arthritis supported by a strain-specific periarticular lymph node in BALB/c mice. Nature Communications. 4(1). 19 indexed citations
6.
Vaeth, Martin, Gerd Müller, Sonja Reißig, et al.. (2012). Dependence on nuclear factor of activated T-cells (NFAT) levels discriminates conventional T cells from Foxp3 + regulatory T cells. Proceedings of the National Academy of Sciences. 109(40). 16258–16263. 103 indexed citations
7.
Sallusto, Federica, et al.. (2006). Follicular B helper T cell activity is confined to CXCR5hiICOShi CD4 T cells and is independent of CD57 expression. European Journal of Immunology. 36(7). 1892–1903. 262 indexed citations
8.
Müller, Gerd & Martin Lipp. (2003). Shaping Up Adaptive Immunity: The Impact of CCR7 and CXCR5 on Lymphocyte Trafficking. Microcirculation. 10(3-4). 325–334. 59 indexed citations
9.
Müller, Gerd, et al.. (2003). Role of Homeostatic Chemokine and Sphingosine‐1‐Phosphate Receptors in the Organization of Lymphoid Tissue. Annals of the New York Academy of Sciences. 987(1). 107–116. 17 indexed citations
10.
Müller, Gerd & Martin Lipp. (2003). Concerted action of the chemokine and lymphotoxin system in secondary lymphoid-organ development. Current Opinion in Immunology. 15(2). 217–224. 45 indexed citations
11.
Müller, Gerd, Uta E. Höpken, & Martin Lipp. (2003). The impact of CCR7 and CXCR5 on lymphoid organ development and systemic immunity. Immunological Reviews. 195(1). 117–135. 197 indexed citations
12.
Müller, Gerd, Uta E. Höpken, Harald Stein, & Martin Lipp. (2002). Systemic immunoregulatory and pathogenic functions of homeostatic chemokine receptors. Journal of Leukocyte Biology. 72(1). 1–8. 77 indexed citations
13.
Müller, Gerd & Martin Lipp. (2001). Signal Transduction by the Chemokine Receptor CXCR5: Structural Requirements for G Protein Activation Analyzed by Chimeric CXCR1/CXCR5 Molecules. Biological Chemistry. 382(9). 1387–97. 30 indexed citations
14.
Röcken, Christoph, et al.. (2000). Rosai-Dorfman disease and generalized AA amyloidosis: A case report. Human Pathology. 31(5). 621–624. 19 indexed citations
15.
Lipp, Martin, Ralf Burgstahler, Gerd Müller, et al.. (2000). Functional Organization of Secondary Lymphoid Organs by the Chemokine System. Current topics in microbiology and immunology. 251. 173–179. 13 indexed citations
16.
17.
Jundt, Franziska, Ioannis Anagnostopoulos, Kurt Bommert, et al.. (1999). Hodgkin/Reed-Sternberg Cells Induce Fibroblasts to Secrete Eotaxin, a Potent Chemoattractant for T Cells and Eosinophils. Blood. 94(6). 2065–2071. 115 indexed citations
18.
Müller, Gerd, et al.. (1997). Prognostic significance of dysplastic features of hematopoiesis in patients with de novo acute myelogenous leukemia. Annals of Hematology. 75(3). 91–94. 14 indexed citations
19.
Müller, Gerd, Bettina Strack, Jens Dannull, et al.. (1994). Amino Acid Requirements of the Nucleocapsid Protein of HIV-1 for Increasing Catalytic Activity of a Ki-ras Ribozyme in Vitro. Journal of Molecular Biology. 242(4). 422–429. 39 indexed citations
20.
Oster, Wolfgang, F. Herrmann, H. Gamm, et al.. (1990). Erythropoietin for the treatment of anemia of malignancy associated with neoplastic bone marrow infiltration.. Journal of Clinical Oncology. 8(6). 956–962. 121 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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