Peter Haytko

1.0k total citations
9 papers, 372 citations indexed

About

Peter Haytko is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Peter Haytko has authored 9 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Peter Haytko's work include Monoclonal and Polyclonal Antibodies Research (5 papers), HER2/EGFR in Cancer Research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Peter Haytko is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), HER2/EGFR in Cancer Research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Peter Haytko collaborates with scholars based in United States, Netherlands and United Kingdom. Peter Haytko's co-authors include Mark L. Chiu, Joost Neijssen, Barbara S. Bushey, Kristen Chevalier, Janine Schuurman, Ricardo M. Attar, Matthew V. Lorenzi, Paul W.H.I. Parren, Sheri L. Moores and Leopoldo Luistro and has published in prestigious journals such as Cancer Research, Journal of Pharmacology and Experimental Therapeutics and Molecular Cancer Therapeutics.

In The Last Decade

Peter Haytko

9 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Haytko United States 5 226 173 153 87 78 9 372
Sandy Larson United States 8 133 0.6× 170 1.0× 38 0.2× 94 1.1× 148 1.9× 12 402
Pengfei Jiang China 9 98 0.4× 134 0.8× 103 0.7× 110 1.3× 38 0.5× 23 333
Kristan Guenterberg United States 8 112 0.5× 261 1.5× 35 0.2× 24 0.3× 310 4.0× 9 450
Saori Handa Japan 10 120 0.5× 244 1.4× 92 0.6× 38 0.4× 154 2.0× 25 380
Akiko Takada Japan 4 245 1.1× 74 0.4× 89 0.6× 16 0.2× 82 1.1× 7 355
Nicholas C.L. Wong Hong Kong 7 171 0.8× 226 1.3× 164 1.1× 40 0.5× 68 0.9× 10 398
Sara Chiblak Germany 8 141 0.6× 190 1.1× 48 0.3× 109 1.3× 50 0.6× 12 394
Frank Tsai United States 14 185 0.8× 278 1.6× 41 0.3× 97 1.1× 154 2.0× 36 483
Maria� Rosestedt Sweden 11 128 0.6× 222 1.3× 307 2.0× 69 0.8× 18 0.2× 20 415
Eri Toyoshima Japan 8 220 1.0× 330 1.9× 34 0.2× 236 2.7× 29 0.4× 15 500

Countries citing papers authored by Peter Haytko

Since Specialization
Citations

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

Fields of papers citing papers by Peter Haytko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Haytko

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Haytko. A scholar is included among the top collaborators of Peter Haytko 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 Peter Haytko. Peter Haytko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Wilski, Nicole A., et al.. (2025). A Dual-Payload Bispecific ADC Improved Potency and Efficacy over Single-Payload Bispecific ADCs. Pharmaceutics. 17(8). 967–967. 1 indexed citations
2.
Xie, Mingquan, Peter Li, Lu Han, et al.. (2025). Abstract 2880: TM4SF1 as a novel target for different modalities (mAb, bispecific ADC, targeted siRNA) for the treatment of different solid tumor cancers. Cancer Research. 85(8_Supplement_1). 2880–2880. 1 indexed citations
3.
Moores, Sheri L., Mark L. Chiu, Barbara S. Bushey, et al.. (2016). A Novel Bispecific Antibody Targeting EGFR and cMet Is Effective against EGFR Inhibitor–Resistant Lung Tumors. Cancer Research. 76(13). 3942–3953. 188 indexed citations
4.
Paul, Suparna, et al.. (2016). An efficient process of generating bispecific antibodies via controlled Fab-arm exchange using culture supernatants. Protein Expression and Purification. 121. 133–140. 18 indexed citations
5.
Moores, Sheri L., Mark L. Chiu, Barbara S. Bushey, et al.. (2014). Abstract DDT01-03: Discovery and preclinical pharmacology of JNJ-61186372: A novel bispecific antibody targeting EGFR and cMET. Cancer Research. 74(19_Supplement). DDT01–3. 1 indexed citations
6.
Moores, Sheri L., Mark L. Chiu, Barbara S. Bushey, et al.. (2013). Abstract B241: Bispecific antibody targeting EGFR and cMet demonstrates superior activity compared to the combination of single pathway inhibitors.. Molecular Cancer Therapeutics. 12(11_Supplement). B241–B241. 2 indexed citations
7.
Glantschnig, Helmut, Kevin R. Scott, Richard Hampton, et al.. (2011). A Rate-Limiting Role for Dickkopf-1 in Bone Formation and the Remediation of Bone Loss in Mouse and Primate Models of Postmenopausal Osteoporosis by an Experimental Therapeutic Antibody. Journal of Pharmacology and Experimental Therapeutics. 338(2). 568–578. 71 indexed citations
8.
An, Zhiqiang, Gail Forrest, Renée Moore, et al.. (2009). IgG2m4, an engineered antibody isotype with reduced Fc function. mAbs. 1(6). 572–579. 75 indexed citations
9.
Cong, Mei, et al.. (2005). Improving Consistency of Cell-Based Assays by Using Division-Arrested Cells. Assay and Drug Development Technologies. 3(1). 7–15. 15 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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