Paul Kussie

6.6k citations
48 papers · 3.5k · 1 hit paper · h-index 30

Impact in

    • Proteoglycans and glycosaminoglycans research
  • Oncology top 2%
    • HER2/EGFR in Cancer Research

Papers in

Paul Kussie

47 papers receiving 3.4k citations

Paul Kussie's Hit Papers

Structural basis for inhibition of the epidermal growth factor receptor by cetuximab 2005 · 873 citations
8730+7+14Years since publication250500750

Peers

Paul Kussie
Comparison fields: 5 of 101
  • Cell Biology 637
  • Oncology 952
  • Radiology, Nuclear Medicine and Imaging 637
  • Cancer Research 392
  • Molecular Biology 1.9k
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Richard Kendall United States
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Gerhard Siemeister Germany
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Citations per field
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Citations per year

Countries citing papers authored by Paul Kussie

Since Specialization
Citations

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

Fields of papers citing papers by Paul Kussie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Structural basis for inhibition of the epidermal growth factor receptor by cetuximab
Hit paper breakdown →
2005873
2
A fully human monoclonal antibody to the insulin-like growth factor I receptor blocks ligand-dependent signaling and inhibits human tumor growth in vivo.
2003297
3 1998202
4 1999169
5
High heparanase activity in multiple myeloma is associated with elevated microvessel density.
2003146
6 2003131
7 2004115
8 1993114
9 2016113
10 200895
11 200688
12
Selective targeting of angiogenic tumor vasculature by vascular endothelial-cadherin antibody inhibits tumor growth without affecting vascular permeability.
200286
13 200580
14 200678
15 200962
16 200059
17 199556
18 200553
19 199552
20 200647

About Paul Kussie

Paul Kussie is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Cell Biology and Hematology, having authored 48 papers that have together received 3.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Proteoglycans and glycosaminoglycans research (9 papers), Glycosylation and Glycoproteins Research (8 papers), Angiogenesis and VEGF in Cancer (6 papers), RNA and protein synthesis mechanisms (5 papers), HER2/EGFR in Cancer Research (4 papers), Fibroblast Growth Factor Research (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Cell Biology (637 citations), Oncology (952 citations), Radiology, Nuclear Medicine and Imaging (637 citations), Cancer Research (392 citations) and Molecular Biology (1.9k citations). Paul Kussie has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Shiqing Li, Kathryn M. Ferguson, Philip D. Jeffrey, Karl R. Schmitz, J.J.W. Wiltzius, Peter Böhlen, Elizabeth Navarro, Zhenping Zhu, Dale L. Ludwig and Nikola P. Pavletich. Their work appears in journals such as The Journal of Immunology, Blood, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters and Structure.

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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