Ivan Ferkolj

599 citations
23 papers · 419 · h-index 11

Impact in

  • Genetics top 10%
    • Inflammatory Bowel Disease
    • Microscopic Colitis
    • Cytomegalovirus and herpesvirus research
    • Mycobacterium research and diagnosis

Papers in

    • Inflammatory Bowel Disease 16
    • Immunodeficiency and Autoimmune Disorders 2
    • IL-33, ST2, and ILC Pathways 2

Ivan Ferkolj

23 papers receiving 410 citations

Peers

Ivan Ferkolj
Comparison fields: 5 of 45
  • Genetics 244
  • Epidemiology 142
  • Immunology 88
  • Oncology 71
  • Gastroenterology 14
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Countries citing papers authored by Ivan Ferkolj

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Ivan Ferkolj Line = papers co-authored together Ivan Ferkolj links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004132
2 201557
3 201535
4 201928
5 201622
6 200822
7 201921
8
How to improve the safety of biologic therapy in Crohn's disease.
200921
9 201614
10 201810
11
Infliximab for treatment of resistant pyoderma gangrenosum associated with Crohn's disease.
200610
12
Infliximab reduces the number of activated mucosal lymphocytes in patients with Crohn's disease.
20069
13 20178
14 20187
15
Prediction of clinical response to anti-TNF treatment by oral parameters in Crohn's disease.
20086
16
CD19+ in intestinal mucosa predict the response to infliximab in Crohn's disease.
20056
17 20093
18 20182
19 20182
20 20181

About Ivan Ferkolj

Ivan Ferkolj is a scholar working on Genetics, Immunology, Surgery, Epidemiology and Infectious Diseases, having authored 23 papers that have together received 419 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (16 papers), Tuberculosis Research and Epidemiology (2 papers), Systemic Lupus Erythematosus Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Microscopic Colitis (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Genetics (244 citations), Epidemiology (142 citations), Immunology (88 citations), Oncology (71 citations) and Gastroenterology (14 citations). Ivan Ferkolj has collaborated with scholars based in Slovenia, Belgium and Netherlands. Frequent co-authors include Uroš Potočnik, Damjan Glavač, Michael Dean, Katja Repnik, Borut Štabuc, Pavel Skok, Rinse K. Weersma, David Drobne, Alojz Ihan and Saša Marković. Their work appears in journals such as Journal of Crohn s and Colitis, European Journal of Gastroenterology & Hepatology, Gastroenterology, Genes and Immunity and United European Gastroenterology Journal.

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.

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