Gary D. Shipley

6.6k citations
48 papers · 5.8k indexed · 2 hit papers · h-index 32

Impact in

Papers in

Gary D. Shipley

48 papers receiving 5.5k citations

Hit Papers

Induction of c-sis mRNA and activity similar to platelet-derived growth factor by transforming growth factor beta: a proposed model for indirect mitogenesis involving autocrine activity. 1986 · 467 citations
4671984202619982012200400600

Peers

Gary D. Shipley
Comparison fields: 5 of 117
  • Immunology and Allergy 609
  • Rehabilitation 479
  • Cell Biology 1.1k
  • Oncology 1.5k
  • Cancer Research 719
Replace Judith A. Abraham with:
Judith A. Abraham United States
Maria Trojanowska United States
Franck Verrecchia France
Edward B. Leof United States
L A Liotta United States
Robert Steadman United Kingdom
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Hitoshi Okochi Japan
Jung San Huang United States
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Citations per field
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Citations per year

Countries citing papers authored by Gary D. Shipley

Since Specialization
Citations

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

Fields of papers citing papers by Gary D. Shipley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary D. Shipley. 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 Gary D. Shipley. The network helps show where Gary D. Shipley may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200016
2 199638
3 199527
4 19941
5 1993129
6 199313
7 199325
8 199222
9 199273
10 199182
11 199131
12 199045
13 199033
14 1989157
15 1989112
16 198917
17 198860
18 1987346
19
Transforming growth factor alpha and beta expression in human colon cancer lines: implications for an autocrine model.
1987195
20 198513

About Gary D. Shipley

Gary D. Shipley is a scholar working on Immunology and Allergy, Cell Biology, Molecular Biology, Genetics and Transplantation, having authored 48 papers that have together received 5.8k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (10 papers), Proteoglycans and glycosaminoglycans research (10 papers), Cell Adhesion Molecules Research (10 papers), Skin and Cellular Biology Research (6 papers), RNA Interference and Gene Delivery (6 papers), Cancer Cells and Metastasis (5 papers), Silk-based biomaterials and applications (3 papers) and Transplantation: Methods and Outcomes (3 papers). The work is most often cited by research in Immunology and Allergy (609 citations), Rehabilitation (479 citations), Cell Biology (1.1k citations), Oncology (1.5k citations) and Cancer Research (719 citations). Gary D. Shipley has collaborated with scholars based in United States and Austria. Frequent co-authors include Harold L. Moses, Mark R. Pittelkow, R F Tucker, Robert J. Coffey, Edward B. Leof, John J. Wille, Robert E. Scott, Robert W. Holley, Anton Scott Goustin and Paul W. Cook. Their work appears in journals such as Journal of Cellular Physiology, Proceedings of the National Academy of Sciences, In Vitro Cellular & Developmental Biology - Animal, Journal of Clinical Investigation and Experimental Cell Research.

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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