Thomas Weber
Impact in
- Cell Biology top 0.1%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism
Papers in
- Genetics 35
- Virus-based gene therapy research 30
- Cell Biology 18
- Cellular transport and secretion 15
- Co-authors
- James A. McNewJames E. RothmanThomas SöllnerFrancesco ParlatiBenedikt WestermannBoris V. ZemelmanMichael GmachlNikolaos I. Stilianakis
- Journals
- Biochemistry (5 papers)Molecular Therapy (5 papers)Circulation (4 papers)Gene Therapy (4 papers)The Journal of Cell Biology (4 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Thomas Weber
96 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cell Biology 3.4k
- Physiology 469
- Molecular Biology 5.2k
- Genetics 1.4k
- Cellular and Molecular Neuroscience 767
Countries citing papers authored by Thomas Weber
This map shows the geographic impact of Thomas Weber'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 Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Weber more than expected).
Fields of papers citing papers by Thomas Weber
This network shows the impact of papers produced by Thomas Weber. 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 Weber. The network helps show where Thomas Weber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Weber, 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 | 2021 | 4 | |
| 3 | 2020 | 56 | |
| 4 | 2018 | 33 | |
| 5 | 2017 | 21 | |
| 6 | 2017 | 33 | |
| 7 | 2014 | 42 | |
| 8 | 2014 | 20 | |
| 9 | Alternatively Spliced Tissue Factor promotes plaque progression, inflammation and angiogenesis in experimental atherosclerosis | 2014 | 1 |
| 10 | 2013 | 153 | |
| 11 | 2004 | 299 | |
| 12 | 2003 | 59 | |
| 13 | 2000 | 81 | |
| 14 | 2000 | 204 | |
| 15 | 2000 | 4 | |
| 16 | 1999 | 132 | |
| 17 | SNAREpins: Minimal Machinery for Membrane Fusion Hit paper breakdown → | 1998 | 2013 |
| 18 | 1995 | 72 | |
| 19 | 1994 | 20 | |
| 20 | 1994 | 59 |
About Thomas Weber
Thomas Weber is a scholar working on Genetics, Cell Biology, Molecular Biology, Pharmaceutical Science and Cardiology and Cardiovascular Medicine, having authored 98 papers that have together received 7.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (30 papers), Viral Infectious Diseases and Gene Expression in Insects (16 papers), Viral Infections and Immunology Research (15 papers), Cellular transport and secretion (15 papers), Lipid Membrane Structure and Behavior (15 papers), RNA Interference and Gene Delivery (13 papers), Influenza Virus Research Studies (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Cell Biology (3.4k citations), Physiology (469 citations), Molecular Biology (5.2k citations), Genetics (1.4k citations) and Cellular and Molecular Neuroscience (767 citations). Thomas Weber has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include James A. McNew, James E. Rothman, Thomas Söllner, Francesco Parlati, Benedikt Westermann, Boris V. Zemelman, Michael Gmachl, Nikolaos I. Stilianakis, Mathieu Nonnenmacher and Roger J. Hajjar. Their work appears in journals such as Biochemistry, Molecular Therapy, Circulation, Gene Therapy and The Journal of Cell Biology.
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.