James Traylor

1.6k citations
38 papers · 1.1k · h-index 20

Impact in

Papers in

    • Pharmacological Receptor Mechanisms and Effects 5
    • Glycosylation and Glycoproteins Research 2
    • Cholesterol and Lipid Metabolism 3

James Traylor

35 papers receiving 1.1k citations

Peers

James Traylor
Comparison fields: 5 of 95
  • Biological Psychiatry 40
  • Toxicology 48
  • Immunology 226
  • Cellular and Molecular Neuroscience 139
  • Immunology and Allergy 37
Replace Guang‐Huan Sun with:
Guang‐Huan Sun Taiwan
Euclides Avila Mexico
Diego Franciotta Italy
Mark C. Lavigne United States
M Fong United States
Fade Mahmoud United States
Deborah A. Sawatzky United Kingdom
Mingyo Kim South Korea
Nisha Kurian United Kingdom
A Carpenter United Kingdom
James Traylor relative to Guang‐Huan Sun Taiwan Guang‐Huan Sun's profile →
Citations per field
00.5×5.7×
Guang‐Huan Sun · 1×
Citations per year

Countries citing papers authored by James Traylor

Since Specialization
Citations

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

Fields of papers citing papers by James Traylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019181
2 201192
3 201288
4 200967
5 201754
6 201251
7 201746
8 201344
9 201334
10 201331
11 201430
12 201529
13 202128
14 202328
15 201928
16 201824
17 201523
18 201823
19 202022
20 202019

About James Traylor

James Traylor is a scholar working on Molecular Biology, Surgery, Immunology, Cellular and Molecular Neuroscience and Cancer Research, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (5 papers), Tryptophan and brain disorders (4 papers), Cholesterol and Lipid Metabolism (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Cell Adhesion Molecules Research (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Biological Psychiatry (40 citations), Toxicology (48 citations), Immunology (226 citations), Cellular and Molecular Neuroscience (139 citations) and Immunology and Allergy (37 citations). James Traylor has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include A. Wayne Orr, Christopher G. Kevil, Md. Shenuarin Bhuiyan, Matthew D. Woolard, Nicholas E. Goeders, Gopi K. Kolluru, Paari Dominic, Connie L. Arnold, Gadiparthi N. Rao and Nikhlesh K. Singh. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Frontiers in Physiology, Redox Biology, Acta Neuropathologica Communications and Inflammatory Bowel Diseases.

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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