Iris Gehrke

999 citations
24 papers · 793 · h-index 15

Impact in

Papers in

    • Chronic Lymphocytic Leukemia Research 13
    • Wnt/β-catenin signaling in development and cancer 7
    • Cancer-related gene regulation 3
    • Kruppel-like factors research 2
    • Ubiquitin and proteasome pathways 2

Iris Gehrke

23 papers receiving 775 citations

Peers

Iris Gehrke
Comparison fields: 5 of 79
  • Genetics 174
  • Geriatrics and Gerontology 32
  • Hematology 70
  • Infectious Diseases 108
  • Oncology 148
Replace S Seto with:
S Seto Japan
Dalibor Valík Czechia
Martina Rahmeh Germany
Renate Pelka‐Fleischer Germany
Mandy Beyer Germany
S. Haihua Chu United States
Juan Eduardo Megías‐Vericat Spain
Catalina Trejo‐Becerril Mexico
Pooja Prem Advani United States
Andreas Janzer Germany
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Citations per field
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Citations per year

Countries citing papers authored by Iris Gehrke

Since Specialization
Citations

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

Fields of papers citing papers by Iris Gehrke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020173
2 201098
3 200871
4 201466
5 200965
6 201048
7 201138
8 201136
9 201128
10 200627
11 201026
12 201018
13 201418
14 201117
15 201417
16 201215
17 201013
18 20129
19 20113
20
Angiopoietin-2/Tie2 Signaling in the Microenvironment of Chronic Lymphocytic Leukemia (CLL)
20142

About Iris Gehrke

Iris Gehrke is a scholar working on Genetics, Molecular Biology, Immunology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 793 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (13 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Lymphoma Diagnosis and Treatment (3 papers), Galectins and Cancer Biology (3 papers), Cancer-related gene regulation (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Kruppel-like factors research (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Genetics (174 citations), Geriatrics and Gerontology (32 citations), Hematology (70 citations), Infectious Diseases (108 citations) and Oncology (148 citations). Iris Gehrke has collaborated with scholars based in Germany, Canada and Switzerland. Frequent co-authors include Karl‐Anton Kreuzer, Rajesh Kumar Gandhirajan, Michael J. Hallek, Peter Staib, Esther Katharina Schmitt, Andreas Hochhaus, Hinrich Bremer, Salvatore Russo, Paul La Rosée and Bernhard Kumle. Their work appears in journals such as European Journal Of Haematology, Clinical Cancer Research, Blood, Current Cancer Drug Targets and Neoplasia.

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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