Eva Verjans

650 citations
21 papers · 436 · h-index 12

Impact in

    • Macrophage Migration Inhibitory Factor
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Pulmonary Hypertension Research and Treatments
    • Neonatal Respiratory Health Research

Papers in

Eva Verjans

19 papers receiving 429 citations

Peers

Eva Verjans
Comparison fields: 5 of 70
  • Immunology 168
  • Pulmonary and Respiratory Medicine 97
  • Pathology and Forensic Medicine 40
  • Cellular and Molecular Neuroscience 40
  • Physiology 39
Replace Gabriele Di Comite with:
Gabriele Di Comite Italy
Takashi Akasaki Japan
Zela Keuylian France
Giuseppe Santamaria Italy
J Pohl Germany
Daniel Hormaechea‐Agulla United States
Mikiko Matsumura Japan
Claire Mackaaij Netherlands
Mariet T. Esselink Netherlands
Marlene Christina Nielsen Denmark
Eva Verjans relative to Gabriele Di Comite Italy Gabriele Di Comite's profile →
Citations per field
00.5×3.9×
Gabriele Di Comite · 1×
Citations per year

Countries citing papers authored by Eva Verjans

Since Specialization
Citations

This map shows the geographic impact of Eva Verjans'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 Eva Verjans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Verjans more than expected).

Fields of papers citing papers by Eva Verjans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Verjans. 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 Eva Verjans. The network helps show where Eva Verjans may publish in the future.

Co-authors

The 25 scholars most cited alongside Eva Verjans, 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 Eva Verjans Line = papers co-authored together Eva Verjans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009118
2 201847
3 201847
4 198334
5 201327
6 201426
7 201825
8 201321
9 202017
10 201915
11 201614
12 201514
13 20239
14 20228
15 20227
16 20233
17 20242
18 20231
19 20201
20 20250

About Eva Verjans

Eva Verjans is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Physiology, Molecular Biology and Infectious Diseases, having authored 21 papers that have together received 436 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (3 papers), Immune Response and Inflammation (2 papers), Immune Cell Function and Interaction (2 papers), IL-33, ST2, and ILC Pathways (1 paper), Epigenetics and DNA Methylation (1 paper), Ion channel regulation and function (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Immunology (168 citations), Pulmonary and Respiratory Medicine (97 citations), Pathology and Forensic Medicine (40 citations), Cellular and Molecular Neuroscience (40 citations) and Physiology (39 citations). Eva Verjans has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christian Martin, Stefan Uhlig, Annette D. Rieg, Rolf Rossaint, Edgar Dahl, Arndt Hartmann, Hongqi Lue, Anke K. Schütz, Jürgen Bernhagen and Nuran Bektas. Their work appears in journals such as PLoS ONE, Respiratory Research, Allergy, Infection and Clinical Chemistry.

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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