Daniel C. Hoessli
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Cell Biology top 2%
- Caveolin-1 and cellular processes
- Cellular transport and secretion
Papers in
- Immunology 24
- Immune Cell Function and Interaction 10
-
- Glycosylation and Glycoproteins Research 42
- RNA and protein synthesis mechanisms 8
- Machine Learning in Bioinformatics 6
- Ubiquitin and proteasome pathways 6
- Co-authors
- Subburaj IlangumaranBettina BorischElisabeth Rungger‐BrändleStephan ArniNasir‐ud‐DinGerhild van Echten‐DeckertHai‐Tao HeJ. R. L. Pink
- Journals
- Journal of Cellular Biochemistry (12 papers)Current Organic Chemistry (8 papers)The Journal of Immunology (3 papers)European Journal of Immunology (3 papers)Molecular Biology Reports (3 papers)
- Partner nations
- SwitzerlandPakistanUnited States
In The Last Decade
Daniel C. Hoessli
89 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 111
- Immunology 885
- Cell Biology 597
- Immunology and Allergy 208
- Virology 111
- Molecular Biology 1.6k
Countries citing papers authored by Daniel C. Hoessli
This map shows the geographic impact of Daniel C. Hoessli'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 Daniel C. Hoessli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Hoessli more than expected).
Fields of papers citing papers by Daniel C. Hoessli
This network shows the impact of papers produced by Daniel C. Hoessli. 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 Daniel C. Hoessli. The network helps show where Daniel C. Hoessli may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Hoessli, 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 | 2018 | 10 | |
| 2 | 2014 | 78 | |
| 3 | SIRT1: Importance of O-GlcNAc and Phosphorylation Interplay in Aging and Diabetes | 2013 | 2 |
| 4 | 2012 | 3 | |
| 5 | 2010 | 5 | |
| 6 | 2010 | 11 | |
| 7 | 2009 | 3 | |
| 8 | 2008 | 7 | |
| 9 | 2008 | 14 | |
| 10 | 2007 | 10 | |
| 11 | 2005 | 38 | |
| 12 | 2003 | 17 | |
| 13 | 2003 | 93 | |
| 14 | 1999 | 113 | |
| 15 | 1998 | 48 | |
| 16 | 1997 | 31 | |
| 17 | 1996 | 41 | |
| 18 | 1996 | 187 | |
| 19 | 1996 | 60 | |
| 20 | 1991 | 15 |
About Daniel C. Hoessli
Daniel C. Hoessli is a scholar working on Immunology, Molecular Biology, Cell Biology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 92 papers that have together received 2.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (42 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Immune Cell Function and Interaction (10 papers), RNA and protein synthesis mechanisms (8 papers), Trypanosoma species research and implications (8 papers), Carbohydrate Chemistry and Synthesis (8 papers), Machine Learning in Bioinformatics (6 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Immunology (885 citations), Cell Biology (597 citations), Immunology and Allergy (208 citations), Virology (111 citations) and Molecular Biology (1.6k citations). Daniel C. Hoessli has collaborated with scholars based in Switzerland, Pakistan and United States. Frequent co-authors include Subburaj Ilangumaran, Bettina Borisch, Elisabeth Rungger‐Brändle, Stephan Arni, Nasir‐ud‐Din, Gerhild van Echten‐Deckert, Hai‐Tao He, J. R. L. Pink, Hans‐Uwe Simon and Gordon B. Mills. Their work appears in journals such as Journal of Cellular Biochemistry, Current Organic Chemistry, The Journal of Immunology, European Journal of Immunology and Molecular Biology Reports.
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.