Tina Müller

1.9k total citations
48 papers, 1.4k citations indexed

About

Tina Müller is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Tina Müller has authored 48 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 14 papers in Oncology and 9 papers in Immunology. Recurrent topics in Tina Müller's work include Sphingolipid Metabolism and Signaling (8 papers), Immune Cell Function and Interaction (8 papers) and Metal-Catalyzed Oxygenation Mechanisms (6 papers). Tina Müller is often cited by papers focused on Sphingolipid Metabolism and Signaling (8 papers), Immune Cell Function and Interaction (8 papers) and Metal-Catalyzed Oxygenation Mechanisms (6 papers). Tina Müller collaborates with scholars based in Germany, United States and Switzerland. Tina Müller's co-authors include Robert P. Hausinger, Winfried S. Wels, Christoph Uherek, Torsten Tonn, Jan Roelof van der Meer, Katheryn Meek, Guitta Maki, Kai Uwe Chow, Hans-Georg Klingemann and Christoph Werlen and has published in prestigious journals such as Cell, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Tina Müller

46 papers receiving 1.4k citations

Peers

Tina Müller
Comparison fields: 5 of 119
  • Molecular Biology 651
  • Oncology 482
  • Immunology 450
  • Genetics 116
  • Epidemiology 111
Replace Jeffrey P. Shaw with:
Jeffrey P. Shaw Switzerland
Francisco Velázquez United States
Zanna Beharry United States
H.S. Lu United States
Carlos A. Martínez United States
Laura Passerini Italy
Puja Gupta India
Hartmut M. Hanauske‐Abel United States
Ciarán N. Cronin United States
Takane Hara Japan
Jeffrey P. Shaw Switzerland View profile →
Citations per field, relative to Tina Müller
Tina Müller · 1×
Citations per year, relative to Tina Müller
Tina Müller · 1×

Countries citing papers authored by Tina Müller

Since Specialization
Citations

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

Fields of papers citing papers by Tina Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Tina Müller. A scholar is included among the top collaborators of Tina 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 Tina Müller. Tina 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 0
2 8
3 9
4 2
5 17
6 59
7 81
8 20
9 24
10 14
11 27
12 12
13 14
14 11
15 53
16 21
17 9
18 14
19 35
20 22

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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