Fabian Müller

5.1k total citations · 2 hit papers
50 papers, 667 citations indexed

About

Fabian Müller is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Fabian Müller has authored 50 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 22 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Fabian Müller's work include CAR-T cell therapy research (22 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and T-cell and B-cell Immunology (6 papers). Fabian Müller is often cited by papers focused on CAR-T cell therapy research (22 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and T-cell and B-cell Immunology (6 papers). Fabian Müller collaborates with scholars based in Germany, United States and Switzerland. Fabian Müller's co-authors include Andréas Mackensen, Georg Schett, Gerald Illerhaus, Jule Taubmann, Simon Völkl, Michael Aigner, Friedrich Feuerhake, Jürgen Finke, Martina Deckert and Jason J. LeBlanc and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Fabian Müller

45 papers receiving 656 citations

Hit Papers

Advancements and challenges in CAR T cell therapy in auto... 2024 2026 2025 2024 2025 25 50 75

Peers

Fabian Müller
Comparison fields: 5 of 71
  • Oncology 285
  • Immunology 233
  • Molecular Biology 147
  • Genetics 139
  • Pathology and Forensic Medicine 125
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Citations per field, relative to Fabian Müller
Fabian Müller · 1×
Citations per year, relative to Fabian Müller
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Countries citing papers authored by Fabian Müller

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Müller. A scholar is included among the top collaborators of Fabian 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 Fabian Müller. Fabian 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
# Work Indexed citations
1
BCMA CAR T cells in a patient with relapsing idiopathic inflammatory myositis after initial and repeat therapy with CD19 CAR T cells breakdown →
15
2 7
3 0
4 29
5 24
6
Advancements and challenges in CAR T cell therapy in autoimmune diseases breakdown →
85
7 5
8 11
9 11
10 1
11 28
12 2
13 31
14 7
15 10
16 10
17 3
18 95
19 32
20
[Referral pattern of the heart catheterization laboratory at the Bern Island University Hospital].
1

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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