Ivan Ferkolj
- Genetics top 10%
- Inflammatory Bowel Disease 16
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- Microscopic Colitis 7
- Autoimmune and Inflammatory Disorders 3
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- Immunodeficiency and Autoimmune Disorders 4
- IL-33, ST2, and ILC Pathways 4
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- Drug Transport and Resistance Mechanisms 2
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- Tuberculosis Research and Epidemiology 2
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- Autoimmune and Inflammatory Disorders Research 2
- Co-authors
- Uroš PotočnikMichael DeanDamjan GlavačBorut ŠtabucPavel SkokRinse K. WeersmaDavid DrobneAlojz Ihan
- Cited by
- GeneticsEpidemiologyImmunology
- Journals
- European Journal of Gastroenterology & Hepatology (2 papers)Journal of Crohn s and Colitis (2 papers)Gastroenterology (2 papers)
- Partner nations
- SloveniaBelgiumUnited States
In The Last Decade
Ivan Ferkolj
23 papers receiving 407 citations
Peers
Comparison fields: 5 of 48
- Genetics 276
- Epidemiology 193
- Immunology 111
- Oncology 82
- Gastroenterology 16
Countries citing papers authored by Ivan Ferkolj
This map shows the geographic impact of Ivan Ferkolj'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 Ivan Ferkolj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Ferkolj more than expected).
Fields of papers citing papers by Ivan Ferkolj
This network shows the impact of papers produced by Ivan Ferkolj. 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 Ivan Ferkolj. The network helps show where Ivan Ferkolj may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ivan Ferkolj, 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 | 2019 | 28 | |
| 2 | 2019 | 21 | |
| 3 | 2018 | 7 | |
| 4 | 2018 | 10 | |
| 5 | 2018 | 2 | |
| 6 | 2018 | 1 | |
| 7 | 2018 | 2 | |
| 8 | 2017 | 1 | |
| 9 | 2017 | 8 | |
| 10 | 2016 | 13 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 22 | |
| 13 | 2015 | 33 | |
| 14 | 2015 | 57 | |
| 15 | 2009 | 3 | |
| 16 | How to improve the safety of biologic therapy in Crohn's disease. | 2009 | 21 |
| 17 | 2008 | 22 | |
| 18 | Prediction of clinical response to anti-TNF treatment by oral parameters in Crohn's disease. | 2008 | 6 |
| 19 | Infliximab for treatment of resistant pyoderma gangrenosum associated with Crohn's disease. | 2006 | 10 |
| 20 | 2004 | 132 |
About Ivan Ferkolj
Ivan Ferkolj is a scholar working on Genetics, Immunology, Epidemiology, Periodontics and Pharmacy, having authored 23 papers that have together received 416 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (16 papers), Microscopic Colitis (7 papers), Immunodeficiency and Autoimmune Disorders (4 papers), IL-33, ST2, and ILC Pathways (4 papers), Autoimmune and Inflammatory Disorders (3 papers), Tuberculosis Research and Epidemiology (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Autoimmune and Inflammatory Disorders Research (2 papers). The work is most often cited by research in Genetics (276 citations), Epidemiology (193 citations), Immunology (111 citations), Oncology (82 citations) and Gastroenterology (16 citations). Ivan Ferkolj has collaborated with scholars based in Slovenia, Belgium and United States. Frequent co-authors include Uroš Potočnik, Michael Dean, Damjan Glavač, Borut Štabuc, Pavel Skok, Rinse K. Weersma, David Drobne, Alojz Ihan, Saša Marković and Miroslav Petrovec. Their work appears in journals such as European Journal of Gastroenterology & Hepatology, Journal of Crohn s and Colitis, Gastroenterology, Pharmacogenomics and Alimentary Pharmacology & Therapeutics.
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.