Cathy Paddock

21 papers receiving 1.9k citations

Hit Papers

PECAM-1 (CD31) Cloning and Relation to Adhesion Molecules of the Immunoglobulin Gene Superfamily 1990 · 792 citations
7921990202620022014250500750

Peers

Cathy Paddock
Comparison fields: 5 of 93
  • Immunology and Allergy 870
  • Hematology 681
  • Immunology 642
  • Cell Biology 209
  • Molecular Biology 668
Replace Michael P. Skinner with:
Michael P. Skinner Australia
RO Hynes United States
Simin Saffaripour United States
Lawrence E. Goldfinger United States
Shinji Kunishima Japan
Velidi H. Rao United States
Anika Stadtmann Germany
Robert F. Todd United States
Maike Frye Germany
Salman Rahman United States
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Citations per field
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Citations per year

Countries citing papers authored by Cathy Paddock

Since Specialization
Citations

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

Fields of papers citing papers by Cathy Paddock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PECAM-1 (CD31) Cloning and Relation to Adhesion Molecules of the Immunoglobulin Gene Superfamily
Hit paper breakdown →
1990792
2 2007185
3 1996151
4 2004106
5 2000101
6 199494
7 201181
8 200066
9 199560
10 200255
11 201547
12 201137
13 200634
14 201428
15 200626
16 199826
17 201623
18 200316
19 200811
20 20131

About Cathy Paddock

Cathy Paddock is a scholar working on Immunology and Allergy, Hematology, Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (17 papers), Platelet Disorders and Treatments (14 papers), Glycosylation and Glycoproteins Research (8 papers), Complement system in diseases (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Blood properties and coagulation (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Immunology and Allergy (870 citations), Hematology (681 citations), Immunology (642 citations), Cell Biology (209 citations) and Molecular Biology (668 citations). Cathy Paddock has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Peter J. Newman, William A. Müller, Suzanne Lyman, Gilbert White, Michael C. Berndt, Jack Gorski, Steven Μ. Albelda, Qi‐Hong Sun, Debra K. Newman and Horace M. DeLisser. Their work appears in journals such as Blood, Journal of Biological Chemistry, Journal of Cell Science, Cancer Biology & Therapy and The Journal of Immunology.

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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