Mischa Houtkamp

1.0k total citations
16 papers, 782 citations indexed

About

Mischa Houtkamp is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Mischa Houtkamp has authored 16 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Immunology. Recurrent topics in Mischa Houtkamp's work include Monoclonal and Polyclonal Antibodies Research (9 papers), HER2/EGFR in Cancer Research (8 papers) and CAR-T cell therapy research (3 papers). Mischa Houtkamp is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), HER2/EGFR in Cancer Research (8 papers) and CAR-T cell therapy research (3 papers). Mischa Houtkamp collaborates with scholars based in Netherlands, United States and Belgium. Mischa Houtkamp's 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 and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Mischa Houtkamp

15 papers receiving 758 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mischa Houtkamp Netherlands	10	376	294	274	207	96	16	782
Tetsuji Sawada Japan	20	392 1.0×	220 0.7×	89 0.3×	494 2.4×	138 1.4×	38	928
Claude Soubrane France	12	410 1.1×	190 0.6×	114 0.4×	239 1.2×	40 0.4×	20	744
A. Lambiase Italy	17	613 1.6×	102 0.3×	146 0.5×	297 1.4×	181 1.9×	55	899
Pia Klausen Denmark	16	387 1.0×	291 1.0×	88 0.3×	246 1.2×	118 1.2×	33	928
Giovanni Citterio Italy	15	339 0.9×	216 0.7×	64 0.2×	251 1.2×	155 1.6×	37	853
Lekh N. Dahal United Kingdom	15	258 0.7×	409 1.4×	196 0.7×	203 1.0×	42 0.4×	32	675
E C Bradley United States	11	423 1.1×	409 1.4×	110 0.4×	153 0.7×	104 1.1×	17	878
Mildred Felder United States	17	421 1.1×	467 1.6×	109 0.4×	445 2.1×	86 0.9×	39	1.1k
Teresa Hemmerle Switzerland	17	364 1.0×	383 1.3×	300 1.1×	220 1.1×	36 0.4×	23	754
James G. Jakowatz United States	16	602 1.6×	268 0.9×	145 0.5×	342 1.7×	124 1.3×	44	948

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-authorship network of co-authors of Mischa Houtkamp

This figure shows the co-authorship network connecting the top 25 collaborators of Mischa Houtkamp. A scholar is included among the top collaborators of Mischa Houtkamp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mischa Houtkamp. Mischa Houtkamp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Ioan‐Facsinay, Andreea, Andrea Imle, Lars Guelen, et al.. (2023). 1072P DuoBody-EpCAMx4-1BB mediates conditional T cell co-stimulation and promotes antitumor activity in preclinical models. Annals of Oncology. 34. S645–S646.

Bakema, Jantine E., Marijke Stigter‐van Walsum, Jeffrey R. Harris, et al.. (2023). An Antibody–Drug Conjugate Directed to Tissue Factor Shows Preclinical Antitumor Activity in Head and Neck Cancer as a Single Agent and in Combination with Chemoradiotherapy. Molecular Cancer Therapeutics. 23(2). 187–198. 5 indexed citations

Kemper, Kristel, Péter Boross, Mischa Houtkamp, et al.. (2022). Mechanistic and pharmacodynamic studies of DuoBody-CD3x5T4 in preclinical tumor models. Life Science Alliance. 5(11). e202201481–e202201481. 3 indexed citations

Bono, Johann S. de, Jeffrey R. Harris, Saskia M. Burm, et al.. (2022). Systematic study of tissue factor expression in solid tumors. Cancer Reports. 6(2). e1699–e1699. 19 indexed citations

Boshuizen, Julia, Nora Pencheva, Oscar Krijgsman, et al.. (2021). Cooperative Targeting of Immunotherapy-Resistant Melanoma and Lung Cancer by an AXL-Targeting Antibody–Drug Conjugate and Immune Checkpoint Blockade. Cancer Research. 81(7). 1775–1787. 48 indexed citations

Altıntaş, Işıl, Marjolein Sluijter, Sandra Verploegen, et al.. (2018). CD3-Bispecific Antibody Therapy Turns Solid Tumors into Inflammatory Sites but Does Not Install Protective Memory. Molecular Cancer Therapeutics. 18(2). 312–322. 61 indexed citations

Breij, Esther C.W., Sandra Verploegen, Andreas Lingnau, et al.. (2015). Preclinical efficacy studies using HuMax-Axl-ADC, a novel antibody-drug conjugate targeting Axl-expressing solid cancers.. Journal of Clinical Oncology. 33(15_suppl). 3066–3066. 6 indexed citations

Branderhorst, Woutjan, Erwin L. A. Blezer, Mischa Houtkamp, et al.. (2014). Three-Dimensional Histologic Validation of High-Resolution SPECT of Antibody Distributions Within Xenografts. Journal of Nuclear Medicine. 55(5). 830–837. 5 indexed citations

Breij, Esther C.W., Bart E.C.G. de Goeij, Sandra Verploegen, et al.. (2013). An Antibody–Drug Conjugate That Targets Tissue Factor Exhibits Potent Therapeutic Activity against a Broad Range of Solid Tumors. Cancer Research. 74(4). 1214–1226. 166 indexed citations

10.

Breij, Esther C.W., David Satijn, Sandra Verploegen, et al.. (2013). Use of an antibody-drug conjugate targeting tissue factor to induce complete tumor regression in xenograft models with heterogeneous target expression.. Journal of Clinical Oncology. 31(15_suppl). 3066–3066. 2 indexed citations

11.

Bangsgaard, Nannie, Mischa Houtkamp, Danita H. Schuurhuis, et al.. (2012). Neutralization of IL-8 Prevents the Induction of Dermatologic Adverse Events Associated with the Inhibition of Epidermal Growth Factor Receptor. PLoS ONE. 7(6). e39706–e39706. 25 indexed citations

12.

Bueren, Jeroen J. Lammerts van, Wim K. Bleeker, Henrik O. Bøgh, et al.. (2006). Effect of Target Dynamics on Pharmacokinetics of a Novel Therapeutic Antibody against the Epidermal Growth Factor Receptor: Implications for the Mechanisms of Action. Cancer Research. 66(15). 7630–7638. 102 indexed citations

13.

Bleeker, Wim K., Jeroen J. Lammerts van Bueren, Heidi H. van Ojik, et al.. (2004). Dual Mode of Action of a Human Anti-Epidermal Growth Factor Receptor Monoclonal Antibody for Cancer Therapy. The Journal of Immunology. 173(7). 4699–4707. 123 indexed citations

14.

Houtkamp, Mischa, Onno J. de Boer, Chris M. van der Loos, Allard C. van der Wal, & A E Becker. (2001). Adventitial infiltrates associated with advanced atherosclerotic plaques: structural organization suggests generation of local humoral immune responses. The Journal of Pathology. 193(2). 263–269. 147 indexed citations

15.

Houtkamp, Mischa, Allard C. van der Wal, Onno J. de Boer, et al.. (2001). Interleukin-15 Expression in Atherosclerotic Plaques. Arteriosclerosis Thrombosis and Vascular Biology. 21(7). 1208–1213. 46 indexed citations

16.

Loos, Chris M. van der, Mischa Houtkamp, Onno J. de Boer, et al.. (2001). Immunohistochemical Detection of Interferon-γ: Fake or Fact?. Journal of Histochemistry & Cytochemistry. 49(6). 699–709. 24 indexed citations

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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