Gordon Parry

5.2k citations
49 papers · 3.5k indexed · 1 hit paper · h-index 22

Gordon Parry

47 papers receiving 3.3k citations

Hit Papers

How does the extracellular matrix direct gene expression?1.2k19822026199620114008001.2k

Peers

Gordon Parry
Comparison fields: 5 of 129
  • Immunology and Allergy 473
  • Cell Biology 635
  • Oncology 790
  • Immunology 581
  • Molecular Biology 1.6k
Replace Hiroshi Shinkai with:
Hiroshi Shinkai Japan
Alain B. Schreiber United States
Richard C. Bates United States
Mark J. Murray United States
David Naor Israel
Shuan Shian Huang United States
Antonia T. Destree United States
G. Greenburg United States
Bjørn R. Olsen United States
Richard B. Bankert United States
Gordon Parry relative to Hiroshi Shinkai Japan Hiroshi Shinkai's profile →
Citations per field
00.5×1.5×
Hiroshi Shinkai · 1×
Citations per year

Countries citing papers authored by Gordon Parry

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Parry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20232
3 20224
4 201119
5 201169
6 200962
7 200966
8 20091
9 200660
10 199772
11 199561
12 19941
13
Feasibility of human gene therapy for renal cell carcinoma
19940
14 19937
15 199179
16 199049
17
MHC antigens persist on human fetal pancreatic islet cells even after culture and transplantation into nude mice.
19892
18 19887
19 19826
20 19774

About Gordon Parry

Gordon Parry is a scholar working on Immunology and Allergy, Immunology and Cell Biology, having authored 49 papers that have together received 3.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), HER2/EGFR in Cancer Research (7 papers), Glycosylation and Glycoproteins Research (6 papers), Proteoglycans and glycosaminoglycans research (6 papers), Animal Genetics and Reproduction (6 papers), Cell Adhesion Molecules Research (5 papers), Immunotherapy and Immune Responses (4 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). The work is most often cited by research in Immunology and Allergy (473 citations), Cell Biology (635 citations) and Oncology (790 citations). Gordon Parry has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Mina J. Bissell, H.Glenn Hall, E Y Lee, Sandra Gendler, Andrew P. Spicer, S. Patton, Charlotte S. Kaetzel, John D. Stubbs, Christine Lekutis and Karen L. Singer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Journal of Clinical Oncology, Neurology and Journal of Biological Chemistry.

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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