Thomas Möller

12.9k total citations · 4 hit papers
100 papers, 8.9k citations indexed

About

Thomas Möller is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thomas Möller has authored 100 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Neurology, 25 papers in Molecular Biology and 23 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thomas Möller's work include Neuroinflammation and Neurodegeneration Mechanisms (44 papers), Immune cells in cancer (14 papers) and Neuroscience and Neuropharmacology Research (12 papers). Thomas Möller is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (44 papers), Immune cells in cancer (14 papers) and Neuroscience and Neuropharmacology Research (12 papers). Thomas Möller collaborates with scholars based in United States, Germany and United Kingdom. Thomas Möller's co-authors include Helmut Kettenmann, Gwenn A. Garden, Patrick Weydt, Jonathan R. Weinstein, Bruce R. Ransom, Erik Boddeke, Anke Witting, Nephi Stella, Bart J. L. Eggen and Soyon Hong and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Thomas Möller

97 papers receiving 8.8k citations

Hit Papers

The Major Risk Factors for Alzheimer’s Disease: Age, Se... 2015 2026 2018 2022 2019 2017 2015 2021 100 200 300 400 500

Peers

Thomas Möller
Comparison fields: 5 of 135
  • Neurology 4.0k
  • Molecular Biology 2.9k
  • Cellular and Molecular Neuroscience 2.0k
  • Immunology 1.9k
  • Physiology 1.5k
Replace Akio Suzumura with:
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Eng‐Ang Ling Singapore
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Elly M. Hol Netherlands
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Akio Suzumura Japan View profile →
Citations per field, relative to Thomas Möller
Thomas Möller · 1×
Citations per year, relative to Thomas Möller
Thomas Möller · 1×

Countries citing papers authored by Thomas Möller

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Möller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Möller

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Möller. A scholar is included among the top collaborators of Thomas Möller 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 Thomas Möller. Thomas Möller 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
Distinct amyloid-β and tau-associated microglia profiles in Alzheimer’s disease breakdown →
207
2
The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques breakdown →
539
3 55
4 109
5 94
6 60
7 114
8 137
9 3
10 14
11 80
12 73
13 1
14 3
15 1
16 33
17 95
18 31
19 13
20 168

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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