R. H. Pearce

57 total papers · 2.7k total citations
46 papers, 2.0k citations indexed

About

R. H. Pearce is a scholar working on Cell Biology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, R. H. Pearce has authored 46 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cell Biology, 14 papers in Molecular Biology and 12 papers in Pathology and Forensic Medicine. Recurrent topics in R. H. Pearce's work include Proteoglycans and glycosaminoglycans research (18 papers), Spine and Intervertebral Disc Pathology (12 papers) and Osteoarthritis Treatment and Mechanisms (10 papers). R. H. Pearce is often cited by papers focused on Proteoglycans and glycosaminoglycans research (18 papers), Spine and Intervertebral Disc Pathology (12 papers) and Osteoarthritis Treatment and Mechanisms (10 papers). R. H. Pearce collaborates with scholars based in Canada, United States and Sweden. R. H. Pearce's co-authors include Mark E. Adams, B.J. Grimmer, Paul Bishop, Martin T. Schechter, Ian Tsang, John S. Mort, Peter J. Roughley, Joel L. Bert, Borys Flak and Lee I. Melching and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Chemistry and The Journal of Comparative Neurology.

In The Last Decade

R. H. Pearce

46 papers receiving 1.9k citations

Hit Papers

Preliminary Evaluation of... 1990 2026 2002 2014 1990 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
R. H. Pearce 1.3k 857 547 430 376 46 2.0k
Yoshiyuki Imai 1.0k 0.8× 747 0.9× 570 1.0× 322 0.7× 230 0.6× 35 2.2k
Gabriella Cs‐Szabó 641 0.5× 627 0.7× 570 1.0× 375 0.9× 193 0.5× 38 2.2k
Cheryle A. Séguin 1.4k 1.1× 1.0k 1.2× 604 1.1× 119 0.3× 339 0.9× 66 2.6k
R. A. Stockwell 435 0.3× 374 0.4× 552 1.0× 401 0.9× 308 0.8× 41 1.9k
Dessislava Markova 944 0.8× 641 0.7× 367 0.7× 187 0.4× 151 0.4× 52 1.9k
Jennie R. Chin 864 0.7× 681 0.8× 556 1.0× 153 0.4× 182 0.5× 19 2.4k
Liufang Jing 1.1k 0.9× 829 1.0× 409 0.7× 151 0.4× 158 0.4× 31 2.0k
Yejia Zhang 967 0.8× 760 0.9× 515 0.9× 76 0.2× 199 0.5× 90 2.1k
Jane A. Ingram 1.4k 1.2× 1.0k 1.2× 630 1.2× 75 0.2× 270 0.7× 61 2.1k
Tomoko Nakai 1.6k 1.3× 1.1k 1.3× 804 1.5× 83 0.2× 339 0.9× 31 2.0k

Countries citing papers authored by R. H. Pearce

Since Specialization
Citations

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

Fields of papers citing papers by R. H. Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. H. Pearce. 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 R. H. Pearce. The network helps show where R. H. Pearce may publish in the future.

Co-authorship network of co-authors of R. H. Pearce

This figure shows the co-authorship network connecting the top 25 collaborators of R. H. Pearce. A scholar is included among the top collaborators of R. H. Pearce based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. H. Pearce. R. H. Pearce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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