Katharina Gerlach

3.0k citations
23 papers · 1.8k indexed · 1 hit paper · h-index 14

Katharina Gerlach

23 papers receiving 1.8k citations

Hit Papers

Chemically induced mouse models of acute and chronic inte...1.1k20172026202020232505007501000

Peers

Katharina Gerlach
Comparison fields: 5 of 106
  • Immunology 699
  • Genetics 583
  • Gastroenterology 86
  • Biological Psychiatry 30
  • Molecular Biology 807
Replace Arianne L. Theiss with:
Arianne L. Theiss United States
Qingdong Guan Canada
Vanessa Popp Germany
Eva Martini Germany
Mary Palmen Netherlands
Anna Negroni Italy
Imke Atreya Germany
Kris A. Steinbrecher United States
Karen L. Edelblum United States
Daniel P. Barry United States
Katharina Gerlach relative to Arianne L. Theiss United States Arianne L. Theiss's profile →
Citations per field
00.5×1.5×
Arianne L. Theiss · 1×
Citations per year

Countries citing papers authored by Katharina Gerlach

Since Specialization
Citations

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

Fields of papers citing papers by Katharina Gerlach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 202028
3 20197
4 201961
5 20192
6 20194
7 201916
8 201823
9
Chemically induced mouse models of acute and chronic intestinal inflammationbreakdown →
20171071
10 201721
11 201726
12 20177
13 20171
14 201657
15 201530
16 201573
17 2014309
18 201325
19 201252
20 19893

About Katharina Gerlach

Katharina Gerlach is a scholar working on Neuropsychology and Physiological Psychology, Immunology, Hematology, Cancer Research and Occupational Therapy, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), IL-33, ST2, and ILC Pathways (3 papers), Inflammatory Bowel Disease (3 papers), Immune Response and Inflammation (3 papers), Acute Myeloid Leukemia Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Mindfulness and Compassion Interventions (2 papers). The work is most often cited by research in Immunology (699 citations), Genetics (583 citations), Gastroenterology (86 citations), Biological Psychiatry (30 citations) and Molecular Biology (807 citations). Katharina Gerlach has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Benno Weigmann, Markus F. Neurath, Stefan Wirtz, Vanessa Popp, Stefan Fichtner‐Feigl, Markus Kindermann, Andrew N. J. McKenzie, Raja Atreya, Hans‐Anton Lehr and Ari Waisman. Their work appears in journals such as Gastroenterology, Nature Communications, Journal of Crohn s and Colitis, Complementary Therapies in Medicine and Nature Protocols.

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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