Matjaž Jeras
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Geriatrics and Gerontology top 5%
Papers in
- Immunology 30
- Immunotherapy and Immune Responses 23
- T-cell and B-cell Immunology 15
- Immune Cell Function and Interaction 11
-
- Cell Adhesion Molecules Research 6
- Co-authors
- Urban ŠvajgerNataša ObermajerRoman JeralaMojca BenčinaBlaž RozmanUrška RepnikMiomir KneževićJanja Zupan
- Journals
- Pflügers Archiv - European Journal of Physiology (8 papers)Journal of Leukocyte Biology (4 papers)PLoS ONE (3 papers)International Journal of Biological Macromolecules (2 papers)Immunology (2 papers)
- Partner nations
- SloveniaUnited StatesAustria
In The Last Decade
Matjaž Jeras
57 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Immunology 1.1k
- Geriatrics and Gerontology 79
- Rheumatology 294
- Cancer Research 207
- Immunology and Allergy 82
Countries citing papers authored by Matjaž Jeras
This map shows the geographic impact of Matjaž Jeras'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 Matjaž Jeras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matjaž Jeras more than expected).
Fields of papers citing papers by Matjaž Jeras
This network shows the impact of papers produced by Matjaž Jeras. 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 Matjaž Jeras. The network helps show where Matjaž Jeras may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matjaž Jeras, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 23 | |
| 5 | 2016 | 48 | |
| 6 | 2014 | 65 | |
| 7 | 2010 | 54 | |
| 8 | 2009 | 20 | |
| 9 | 2007 | 2 | |
| 10 | Different localisation of cystatin C in immature and mature dendritic cells | 2006 | 3 |
| 11 | 2005 | 45 | |
| 12 | 2004 | 21 | |
| 13 | 2003 | 3 | |
| 14 | 2003 | 140 | |
| 15 | 2002 | 5 | |
| 16 | 2002 | 11 | |
| 17 | 2001 | 3 | |
| 18 | 2000 | 19 | |
| 19 | 2000 | 2 | |
| 20 | 2000 | 9 |
About Matjaž Jeras
Matjaž Jeras is a scholar working on Immunology, Immunology and Allergy, Urology, Rheumatology and Rehabilitation, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (23 papers), T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (11 papers), Osteoarthritis Treatment and Mechanisms (7 papers), Cell Adhesion Molecules Research (6 papers), Periodontal Regeneration and Treatments (5 papers), RNA Interference and Gene Delivery (4 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Immunology (1.1k citations), Geriatrics and Gerontology (79 citations), Rheumatology (294 citations), Cancer Research (207 citations) and Immunology and Allergy (82 citations). Matjaž Jeras has collaborated with scholars based in Slovenia, United States and Austria. Frequent co-authors include Urban Švajger, Nataša Obermajer, Roman Jerala, Mojca Benčina, Blaž Rozman, Urška Repnik, Miomir Knežević, Janja Zupan, Janja Marc and Marko Anderluh. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Journal of Leukocyte Biology, PLoS ONE, International Journal of Biological Macromolecules and 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.