Gordon Parry

5.3k citations
49 papers · 3.5k · 1 hit paper · h-index 22

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Protein Hydrolysis and Bioactive Peptides 4
    • Immunotherapy and Immune Responses 4

Gordon Parry

47 papers receiving 3.3k citations

Gordon Parry's Hit Papers

How does the extracellular matrix direct gene expression? 1982 · 1.2k citations
1.2k0+14+29Years since publication4008001.2k

Peers

Gordon Parry
Comparison fields: 5 of 126
  • Immunology and Allergy 460
  • Cell Biology 627
  • Oncology 745
  • Immunology 541
  • Cancer Research 327
Replace Mark J. Murray with:
Mark J. Murray United States
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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-authors

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

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How does the extracellular matrix direct gene expression?
Hit paper breakdown →
19821213
2 1990264
3 1984258
4 1985228
5 1991196
6 1992127
7 199088
8 197681
9 199179
10 199772
11 201169
12 200966
13 199564
14 200962
15 200660
16 199560
17
Multiplex gene expression analysis for high-throughput drug discovery: screening and analysis of compounds affecting genes overexpressed in cancer cells.
200253
18 198749
19 199049
20 199242

About Gordon Parry

Gordon Parry is a scholar working on Molecular Biology, Immunology, Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 49 papers that have together received 3.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), HER2/EGFR in Cancer Research (6 papers), Proteoglycans and glycosaminoglycans research (6 papers), Animal Genetics and Reproduction (6 papers), Glycosylation and Glycoproteins Research (5 papers), Immunotherapy and Immune Responses (4 papers), Protein Hydrolysis and Bioactive Peptides (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Immunology and Allergy (460 citations), Cell Biology (627 citations), Oncology (745 citations), Immunology (541 citations) and Cancer Research (327 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, PLoS ONE and Neurology.

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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