Thomas Albert
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics 14
- RNA Research and Splicing 10
- Chromatin Remodeling and Cancer 6
- RNA modifications and cancer 6
- Ubiquitin and proteasome pathways 5
- Aging top 10%
- Immunology top 10%
- T-cell and B-cell Immunology 15
- Immune Cell Function and Interaction 14
- Immunotherapy and Immune Responses 6
- Oncology top 10%
- Co-authors
- Dirk EickMichael MeisterernstMartin HeidemannRolf BoelensH. T. Marc TimmersElisabeth KremmerHiroyuki HanzawaZoltán Prágai
- Cited by
- Molecular BiologyAgingImmunology
- Journals
- Journal of Biological Chemistry (3 papers)Neuro-Oncology (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Thomas Albert
48 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.5k
- Aging 25
- Immunology 227
- Oncology 272
- Cancer Research 143
Countries citing papers authored by Thomas Albert
This map shows the geographic impact of Thomas Albert'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 Albert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Albert more than expected).
Fields of papers citing papers by Thomas Albert
This network shows the impact of papers produced by Thomas Albert. 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 Albert. The network helps show where Thomas Albert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Albert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 4 | |
| 5 | 2019 | 15 | |
| 6 | 2019 | 17 | |
| 7 | 2011 | 248 | |
| 8 | 2011 | 4 | |
| 9 | 2010 | 8 | |
| 10 | 2010 | 2 | |
| 11 | 2009 | 8 | |
| 12 | 2009 | 2 | |
| 13 | 2007 | 250 | |
| 14 | 2007 | 0 | |
| 15 | 2006 | 9 | |
| 16 | 2004 | 41 | |
| 17 | 2001 | 78 | |
| 18 | 2000 | 132 | |
| 19 | 1996 | 27 | |
| 20 | A MODEL FOR DETERMINING THE WIDTH OF AIRPORT PEDESTRIAN CORRIDORS | 1984 | 4 |
About Thomas Albert
Thomas Albert is a scholar working on Immunology, Molecular Biology and Immunology and Allergy, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (15 papers), Genomics and Chromatin Dynamics (14 papers), Immune Cell Function and Interaction (14 papers), RNA Research and Splicing (10 papers), Chromatin Remodeling and Cancer (6 papers), Immunotherapy and Immune Responses (6 papers), RNA modifications and cancer (6 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Aging (25 citations) and Immunology (227 citations). Thomas Albert has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Dirk Eick, Michael Meisterernst, Martin Heidemann, Rolf Boelens, H. T. Marc Timmers, Elisabeth Kremmer, Hiroyuki Hanzawa, Zoltán Prágai, Andrea Muffler and Daniel R. Zeigler. Their work appears in journals such as Journal of Biological Chemistry, Neuro-Oncology, Molecular and Cellular Biology, Journal of Translational Medicine and The Journal of Immunology.
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.