James Farris

632 citations
21 papers · 520 · h-index 14

Impact in

Papers in

    • CRISPR and Genetic Engineering 3
    • Molecular Biology Techniques and Applications 2
    • Cancer-related Molecular Pathways 5
    • Clusterin in disease pathology 2

James Farris

21 papers receiving 510 citations

Peers

James Farris
Comparison fields: 5 of 86
  • Aging 13
  • Reproductive Medicine 56
  • Molecular Biology 285
  • Developmental Biology 8
  • Cellular and Molecular Neuroscience 63
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P A Weller United Kingdom
Jaime Moscoso del Prado Spain
Suresh B. Patil United States
I‐Hsuan Liu Taiwan
Rachel R. Stine United States
Janet E. Champion United Kingdom
Laura E. Sanders United States
Thore C. Brink Germany
Casimiro Castillejo-López Sweden
Kerri Dawson Canada
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Citations per field
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Citations per year

Countries citing papers authored by James Farris

Since Specialization
Citations

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

Fields of papers citing papers by James Farris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199268
2 200250
3
Basic fibroblast growth factor in Dupuytren's contracture.
199248
4 199547
5 200242
6 198941
7 200134
8 200130
9 199924
10 200123
11 200123
12 199221
13 200120
14 200119
15 200012
16 20019
17 20014
18 20012
19 20021
20 19961

About James Farris

James Farris is a scholar working on Molecular Biology, Oncology, Surgery, Cellular and Molecular Neuroscience and Genetics, having authored 21 papers that have together received 520 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Neuropeptides and Animal Physiology (3 papers), CRISPR and Genetic Engineering (3 papers), MicroRNA in disease regulation (2 papers), Clusterin in disease pathology (2 papers), Molecular Biology Techniques and Applications (2 papers), Hypothalamic control of reproductive hormones (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). The work is most often cited by research in Aging (13 citations), Reproductive Medicine (56 citations), Molecular Biology (285 citations), Developmental Biology (8 citations) and Cellular and Molecular Neuroscience (63 citations). James Farris has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Douglas N. Foster, Hyunggee Kim, Linda K. Foster, Seungkwon You, Andrew Baird, Seungkwon You, Byung‐Whi Kong, Adriano Miziara Gonzalez, Shelly A. Christman and Ward Casscells. Their work appears in journals such as Biochemical Journal, Oncogene, General and Comparative Endocrinology, Experimental Cell Research and The Journal of Cell Biology.

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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