Ingo Bartholomäus
- Immunology top 10%
- Molecular Biology
- Neurology top 2%
- Cellular and Molecular Neuroscience top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Naoto KawakamiHartmut WekerleJoachim W. EllwartCassandra Flügel‐KochAlexander FlügelFrancesca OdoardiWolfgang E. F. KlinkertChristian Schläger
- Topics
- T-cell and B-cell Immunology (4 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Cited by
- NeurologyBiophysicsImmunology
In The Last Decade
Ingo Bartholomäus
11 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Immunology 419
- Molecular Biology 416
- Neurology 385
- Cellular and Molecular Neuroscience 309
- Pathology and Forensic Medicine 169
Countries citing papers authored by Ingo Bartholomäus
This map shows the geographic impact of Ingo Bartholomäus'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 Ingo Bartholomäus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Bartholomäus more than expected).
Fields of papers citing papers by Ingo Bartholomäus
This network shows the impact of papers produced by Ingo Bartholomäus. 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 Ingo Bartholomäus. The network helps show where Ingo Bartholomäus may publish in the future.
Co-authorship network of co-authors of Ingo Bartholomäus
This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Bartholomäus. A scholar is included among the top collaborators of Ingo Bartholomäus 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 Ingo Bartholomäus. Ingo Bartholomäus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 280 | |
| 3 | 57 | |
| 4 | 1 | |
| 5 | 75 | |
| 6 | 33 | |
| 7 | Effector T cell interactions with meningeal vascular structures in nascent autoimmune CNS lesionsbreakdown → | 534 |
| 8 | Intravital 2-photon imaging of encephalitogenic effector cells during fingolimod (FTY720) treatment of experimental autoimmune encephalomyelitis | 4 |
| 9 | 49 | |
| 10 | 76 | |
| 11 | 56 |
About Ingo Bartholomäus
Ingo Bartholomäus is a scholar working on Neurology, Biophysics and Immunology and Allergy, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Neurology (385 citations), Biophysics (116 citations) and Immunology (419 citations). Ingo Bartholomäus has collaborated with scholars based in Germany, Slovakia and Austria. Frequent co-authors include Naoto Kawakami, Hartmut Wekerle, Joachim W. Ellwart, Cassandra Flügel‐Koch, Alexander Flügel, Francesca Odoardi, Wolfgang E. F. Klinkert, Christian Schläger, Thomas B. Issekutz and Djordje Miljković. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.