Katherine E. Kilpatrick

929 citations
18 papers · 785 · h-index 13

Impact in

Papers in

Katherine E. Kilpatrick

18 papers receiving 761 citations

Peers

Katherine E. Kilpatrick
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 159
  • Immunology and Allergy 41
  • Oncology 158
  • Cancer Research 86
  • Immunology 124
Replace PETER G. H. BYFIELD with:
PETER G. H. BYFIELD United Kingdom
R P Huang United States
Sandra L. Ross United States
R D Ye United States
A. J. Bierman Netherlands
Huafei Zou United States
Evelyn Aranda United States
Mariko Nishiyama Japan
I D Goldfine United States
Núria Colomé Spain
Katherine E. Kilpatrick relative to PETER G. H. BYFIELD United Kingdom PETER G. H. BYFIELD's profile →
Citations per field
00.5×3.2×
PETER G. H. BYFIELD · 1×
Citations per year

Countries citing papers authored by Katherine E. Kilpatrick

Since Specialization
Citations

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

Fields of papers citing papers by Katherine E. Kilpatrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine E. Kilpatrick. 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 Katherine E. Kilpatrick. The network helps show where Katherine E. Kilpatrick may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Antibody targeting of the EphA2 tyrosine kinase inhibits malignant cell behavior.
2002170
2 1997158
3 1994113
4 199770
5 200056
6 198836
7 199829
8 199821
9 199819
10 200319
11 200319
12 199918
13 199713
14 200210
15 200010
16 19959
17 19978
18 20007

About Katherine E. Kilpatrick

Katherine E. Kilpatrick is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Immunology and Immunology and Allergy, having authored 18 papers that have together received 785 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Cell Adhesion Molecules Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), T-cell and B-cell Immunology (3 papers), Cancer-related Molecular Pathways (3 papers), Protease and Inhibitor Mechanisms (3 papers), S100 Proteins and Annexins (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (159 citations), Immunology and Allergy (41 citations), Oncology (158 citations), Cancer Research (86 citations) and Immunology (124 citations). Katherine E. Kilpatrick has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Michael S. Kinch, Jane C. Stewart, Jui‐Lan Su, G M Ringold, Jeffrey P. Northrop, Jeffrey Grove, Timothy J. Lansing, France Carrier, W. David Henner and Marcy Engelstein. Their work appears in journals such as Connective Tissue Research, Gene, BioTechniques, Journal of Biological Chemistry and Journal of Pharmaceutical and Biomedical Analysis.

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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