Mischa Houtkamp

1.0k citations
16 papers · 782 · h-index 10

Impact in

  • Immunology top 10%
    • Atherosclerosis and Cardiovascular Diseases
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

Mischa Houtkamp

15 papers receiving 758 citations

Peers

Mischa Houtkamp
Comparison fields: 5 of 69
  • Immunology 294
  • Oncology 376
  • Radiology, Nuclear Medicine and Imaging 274
  • Immunology and Allergy 52
  • Genetics 43
Replace Tetsuji Sawada with:
Tetsuji Sawada Japan
Claude Soubrane France
Giovanni Citterio Italy
Lekh N. Dahal United Kingdom
E C Bradley United States
Pia Klausen Denmark
Laurence Maggiorella France
Y Ino Japan
Abraham C.F. Leung United States
Osama Al‐Assar United Kingdom
Mischa Houtkamp relative to Tetsuji Sawada Japan Tetsuji Sawada's profile →
Citations per field
00.5×3.1×
Tetsuji Sawada · 1×
Citations per year

Countries citing papers authored by Mischa Houtkamp

Since Specialization
Citations

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

Fields of papers citing papers by Mischa Houtkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2013166
2 2001147
3 2004123
4 2006102
5 201861
6 202148
7 200146
8 201225
9 200124
10 202219
11 20156
12 20235
13 20145
14 20223
15 20132
16 20230

About Mischa Houtkamp

Mischa Houtkamp is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Immunology, Immunology and Allergy and Surgery, having authored 16 papers that have together received 782 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), HER2/EGFR in Cancer Research (8 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Cell Adhesion Molecules Research (3 papers), CAR-T cell therapy research (3 papers), T-cell and B-cell Immunology (3 papers), Phagocytosis and Immune Regulation (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (294 citations), Oncology (376 citations), Radiology, Nuclear Medicine and Imaging (274 citations), Immunology and Allergy (52 citations) and Genetics (43 citations). Mischa Houtkamp has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Paul W.H.I. Parren, Wim K. Bleeker, Allard C. van der Wal, Onno J. de Boer, Chris M. van der Loos, Janine Schuurman, A E Becker, Danita H. Schuurhuis, Jeroen J. Lammerts van Bueren and Jan G. J. van de Winkel. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Clinical Oncology, The Journal of Immunology and Journal of Nuclear Medicine.

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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