Mareike Wittenbrink

460 citations
5 papers · 392 · h-index 5

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Reproductive System and Pregnancy
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Peptidase Inhibition and Analysis

Papers in

    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 1
    • IL-33, ST2, and ILC Pathways 1
    • CAR-T cell therapy research 3

Mareike Wittenbrink

5 papers receiving 380 citations

Peers

Mareike Wittenbrink
Comparison fields: 5 of 49
  • Immunology 308
  • Oncology 182
  • Cancer Research 27
  • Immunology and Allergy 9
  • Hematology 16
Replace Hyesuk Yoon with:
Hyesuk Yoon United States
Ngozi R. Monu United States
Teresa Preglej Austria
Esmeralda Beck-Garcìa Germany
Sujit V. Janardhan United States
Tina Chang Albershardt United States
Justus Hülse United States
Hua Fang China
Aodrenn Spill France
Christine N. Evans United States
Mareike Wittenbrink relative to Hyesuk Yoon United States Hyesuk Yoon's profile →
Citations per field
00.5×1.5×
Hyesuk Yoon · 1×
Citations per year

Countries citing papers authored by Mareike Wittenbrink

Since Specialization
Citations

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

Fields of papers citing papers by Mareike Wittenbrink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Mareike Wittenbrink

Mareike Wittenbrink is a scholar working on Immunology, Oncology, Physiology, Pulmonary and Respiratory Medicine and Insect Science, having authored 5 papers that have together received 392 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper) and Asthma and respiratory diseases (1 paper). The work is most often cited by research in Immunology (308 citations), Oncology (182 citations), Cancer Research (27 citations), Immunology and Allergy (9 citations) and Hematology (16 citations). Mareike Wittenbrink has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Alexander Steinle, Hans‐Georg Rammensee, Inja Waldhauer, Andreas Ludwig, Toni Weinschenk, Friederike Gieseke, Stefan Stevanović, Klaus Peter Fuchs, David J. Lamb and Birgit Jung. Their work appears in journals such as European Journal of Immunology, Pulmonary Pharmacology & Therapeutics, Cancer Research, Frontiers in Immunology and PubMed.

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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