Gerald N. Smith

59 papers receiving 2.6k citations

Peers

Gerald N. Smith
Comparison fields: 5 of 122
  • Immunology and Allergy 334
  • Rheumatology 756
  • Transplantation 106
  • Cancer Research 373
  • Cell Biology 386
Replace Mervyn J. Merrilees with:
Mervyn J. Merrilees New Zealand
Erika Gustafsson Sweden
Sakuhei Fujiwara Japan
Sanford I. Roth United States
Elke Schönherr Germany
JoAnne A. Julian United States
Masahiro Iwamoto United States
Dirk Büscher United States
Ellen H. Filvaroff United States
Dale R. Abrahamson United States
Gerald N. Smith relative to Mervyn J. Merrilees New Zealand Mervyn J. Merrilees's profile →
Citations per field
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Mervyn J. Merrilees · 1×
Citations per year

Countries citing papers authored by Gerald N. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Gerald N. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald N. Smith. 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 Gerald N. Smith. The network helps show where Gerald N. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992194
2 2000168
3 2002150
4 1999143
5 1977129
6 1986109
7 200897
8 199996
9 200293
10 199982
11 197681
12 200179
13 199873
14
Oral administration of doxycycline reduces collagenase and gelatinase activities in extracts of human osteoarthritic cartilage.
199872
15 199672
16
Doxycycline inhibits type XI collagenolytic activity of extracts from human osteoarthritic cartilage and of gelatinase.
199171
17 198966
18 201365
19 197565
20 200259

About Gerald N. Smith

Gerald N. Smith is a scholar working on Rheumatology, Immunology and Allergy, Biomaterials, Cell Biology and Cancer Research, having authored 59 papers that have together received 2.8k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (22 papers), Cell Adhesion Molecules Research (13 papers), Proteoglycans and glycosaminoglycans research (11 papers), Collagen: Extraction and Characterization (10 papers), Transplantation: Methods and Outcomes (8 papers), Protease and Inhibitor Mechanisms (7 papers), Silk-based biomaterials and applications (7 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Immunology and Allergy (334 citations), Rheumatology (756 citations), Transplantation (106 citations), Cancer Research (373 citations) and Cell Biology (386 citations). Gerald N. Smith has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Kenneth D. Brandt, Karen A. Hasty, Elizabeth A. Mickler, Stephen L. Myers, Thomas F. Linsenmayer, David S. Wilkes, Oscar W. Cummings, Lee S. Simon, Kenneth D. Brandt and Kathleen M. Heidler. Their work appears in journals such as Developmental Biology, Journal of Experimental Zoology, Journal of Cell Science, Transplantation and Biological Bulletin.

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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