Thomas Ulshöfer
Impact in
- Hematology top 10%
- Blood Coagulation and Thrombosis Mechanisms
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- Protease and Inhibitor Mechanisms
Papers in
-
- Sphingolipid Metabolism and Signaling 5
- RNA Interference and Gene Delivery 2
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- Immune Cell Function and Interaction 3
- Immune cells in cancer 2
- Co-authors
- Hermann Ragg (3 shared papers)Susanne Schiffmann (18 shared papers)Marina Henke (15 shared papers)Gerd Geißlinger (11 shared papers)Irmgard Ihrig‐Biedert (1 shared paper)Huige Li (1 shared paper)Hartmut Kleinert (1 shared paper)Paulus Wohlfart (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Scientific Reports (2 papers)International Journal of Molecular Sciences (2 papers)Journal of Controlled Release (1 paper)Toxins (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Thomas Ulshöfer
32 papers receiving 634 citations
Peers
Comparison fields: 5 of 87
- Hematology 88
- Cancer Research 84
- Biochemistry 41
- Cell Biology 70
- Immunology and Allergy 23
Countries citing papers authored by Thomas Ulshöfer
This map shows the geographic impact of Thomas Ulshöfer'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 Ulshöfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Ulshöfer more than expected).
Fields of papers citing papers by Thomas Ulshöfer
This network shows the impact of papers produced by Thomas Ulshöfer. 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 Ulshöfer. The network helps show where Thomas Ulshöfer may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Ulshöfer, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 140 | |
| 2 | 1990 | 74 | |
| 3 | 1990 | 50 | |
| 4 | 2015 | 44 | |
| 5 | 2018 | 38 | |
| 6 | 2020 | 37 | |
| 7 | 2018 | 34 | |
| 8 | 2020 | 22 | |
| 9 | 2022 | 22 | |
| 10 | 2022 | 21 | |
| 11 | 2022 | 19 | |
| 12 | 2015 | 16 | |
| 13 | 2014 | 15 | |
| 14 | 2015 | 14 | |
| 15 | 2019 | 12 | |
| 16 | 2022 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2024 | 8 | |
| 20 | 2021 | 8 |
About Thomas Ulshöfer
Thomas Ulshöfer is a scholar working on Molecular Biology, Immunology, Nephrology, Oncology and Pharmacology, having authored 33 papers that have together received 645 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (5 papers), Immune Cell Function and Interaction (3 papers), Lichen and fungal ecology (2 papers), RNA Interference and Gene Delivery (2 papers), Immune cells in cancer (2 papers), Platelet Disorders and Treatments (2 papers), Hormonal Regulation and Hypertension (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Hematology (88 citations), Cancer Research (84 citations), Biochemistry (41 citations), Cell Biology (70 citations) and Immunology and Allergy (23 citations). Thomas Ulshöfer has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Hermann Ragg, Susanne Schiffmann, Marina Henke, Gerd Geißlinger, Irmgard Ihrig‐Biedert, Huige Li, Hartmut Kleinert, Paulus Wohlfart, Ulrich Förstermann and Thomas Wallerath. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, International Journal of Molecular Sciences, Journal of Controlled Release and Toxins.
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.