Kathrin Haake

497 citations
13 papers · 237 · h-index 8

Impact in

    • Immune cells in cancer
    • Phagocytosis and Immune Regulation
    • Immunodeficiency and Autoimmune Disorders
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering

Papers in

    • Immunodeficiency and Autoimmune Disorders 4
    • Immune responses and vaccinations 2
    • Phagocytosis and Immune Regulation 2
    • Immune Cell Function and Interaction 2
    • Immune cells in cancer 2
    • Pluripotent Stem Cells Research 3
    • CRISPR and Genetic Engineering 2

Kathrin Haake

11 papers receiving 235 citations

Peers

Kathrin Haake
Comparison fields: 5 of 44
  • Immunology 93
  • Molecular Biology 131
  • Oncology 46
  • Hematology 10
  • Genetics 9
Replace Masae Sato with:
Masae Sato Japan
Theresa Buchegger Germany
Leo Boneschansker United States
Sebastian Brennig Germany
Jenna M. Kastenschmidt United States
Jason Pan United States
Valerie Theobald United States
Ryan Huang United States
Dan Duan China
Jutta Kollet Germany
Kathrin Haake relative to Masae Sato Japan Masae Sato's profile →
Citations per field
00.5×1.5×2.5×
Masae Sato · 1×
Citations per year

Countries citing papers authored by Kathrin Haake

Since Specialization
Citations

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

Fields of papers citing papers by Kathrin Haake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2018118
2 201826
3 201723
4 202023
5 202018
6 202010
7 20208
8 20187
9 20242
10 20251
11 20191
12 20230
13 20220

About Kathrin Haake

Kathrin Haake is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Biomedical Engineering and Oncology, having authored 13 papers that have together received 237 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (4 papers), Pluripotent Stem Cells Research (3 papers), 3D Printing in Biomedical Research (3 papers), Immune responses and vaccinations (2 papers), Phagocytosis and Immune Regulation (2 papers), Immune Cell Function and Interaction (2 papers), Immune cells in cancer (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Immunology (93 citations), Molecular Biology (131 citations), Oncology (46 citations), Hematology (10 citations) and Genetics (9 citations). Kathrin Haake has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Nico Lachmann, Mania Ackermann, Mark Kühnel, Danny Jonigk, Henning Kempf, Axel Schambach, Ulrich Martin, Miriam Hetzel, Antje Munder and Silke Glage. Their work appears in journals such as Stem Cell Reports, Nature Communications, Molecular Therapy — Methods & Clinical Development, Stem Cell Research and Haematologica.

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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