Timo Gaber
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
- Immunology 36
- Immune cells in cancer 13
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 8
- Macrophage Migration Inhibitory Factor 8
- Rheumatology 29
- Osteoarthritis Treatment and Mechanisms 14
- Rheumatoid Arthritis Research and Therapies 10
- Co-authors
- Frank Buttgereit (79 shared papers)Cindy Strehl (23 shared papers)Georg N. Duda (14 shared papers)Carsten Perka (15 shared papers)Paula Hoff (38 shared papers)Paula Kolar (6 shared papers)Gerd‐Rüdiger Burmester (19 shared papers)Alexandra Damerau (23 shared papers)
- Journals
- Annals of the Rheumatic Diseases (11 papers)Frontiers in Immunology (7 papers)International Journal of Molecular Sciences (7 papers)Immunologic Research (4 papers)International Journal of Nanomedicine (4 papers)
- Partner nations
- GermanySwitzerlandPoland
In The Last Decade
Timo Gaber
87 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 134
- Immunology 871
- Genetics 427
- Rheumatology 577
- Cancer Research 406
- Orthopedics and Sports Medicine 231
Countries citing papers authored by Timo Gaber
This map shows the geographic impact of Timo Gaber'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 Timo Gaber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Gaber more than expected).
Fields of papers citing papers by Timo Gaber
This network shows the impact of papers produced by Timo Gaber. 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 Timo Gaber. The network helps show where Timo Gaber may publish in the future.
Co-authors
The 25 scholars most cited alongside Timo Gaber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 304 | |
| 2 | 2017 | 235 | |
| 3 | 2019 | 192 | |
| 4 | 2007 | 178 | |
| 5 | 2012 | 159 | |
| 6 | 2011 | 154 | |
| 7 | 2004 | 154 | |
| 8 | 2009 | 148 | |
| 9 | 2005 | 135 | |
| 10 | 2005 | 134 | |
| 11 | 2012 | 92 | |
| 12 | 2016 | 64 | |
| 13 | 2010 | 58 | |
| 14 | 2011 | 57 | |
| 15 | 2019 | 54 | |
| 16 | 2021 | 53 | |
| 17 | 2013 | 52 | |
| 18 | 2020 | 44 | |
| 19 | 2009 | 43 | |
| 20 | 2013 | 43 |
About Timo Gaber
Timo Gaber is a scholar working on Immunology, Rheumatology, Molecular Biology, Genetics and Oncology, having authored 92 papers that have together received 3.3k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (14 papers), Immune cells in cancer (13 papers), Immune Cell Function and Interaction (10 papers), Rheumatoid Arthritis Research and Therapies (10 papers), T-cell and B-cell Immunology (8 papers), Bone Tissue Engineering Materials (8 papers), Macrophage Migration Inhibitory Factor (8 papers) and Mesenchymal stem cell research (7 papers). The work is most often cited by research in Immunology (871 citations), Genetics (427 citations), Rheumatology (577 citations), Cancer Research (406 citations) and Orthopedics and Sports Medicine (231 citations). Timo Gaber has collaborated with scholars based in Germany, Switzerland and Poland. Frequent co-authors include Frank Buttgereit, Cindy Strehl, Georg N. Duda, Carsten Perka, Paula Hoff, Paula Kolar, Gerd‐Rüdiger Burmester, Alexandra Damerau, Katharina Schmidt‐Bleek and Lisa Ehlers. Their work appears in journals such as Annals of the Rheumatic Diseases, Frontiers in Immunology, International Journal of Molecular Sciences, Immunologic Research and International Journal of Nanomedicine.
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.