James E. Seely

32 papers receiving 1.4k citations

Peers

James E. Seely
Comparison fields: 5 of 94
  • Biochemistry 855
  • Clinical Biochemistry 217
  • Molecular Biology 1.2k
  • Pharmacology 222
  • Cell Biology 138
Replace Mari K. Haddox with:
Mari K. Haddox United States
Gabriele Dodt Germany
Satoshi Yamashita Japan
Gordon Watson United States
Joan A. Higgins United Kingdom
William B. Benjamin United States
Gennaro Illiano Italy
Markus Gütlich Germany
M. K. Haddox United States
Catriona M. H. Anderson United Kingdom
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Citations per year

Countries citing papers authored by James E. Seely

Since Specialization
Citations

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

Fields of papers citing papers by James E. Seely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982139
2 1983138
3 1982132
4 1983126
5 198497
6 200190
7 198178
8 198376
9 198263
10 199053
11 198253
12
Polyamine biosynthesis and interconversion in rodent tissues.
198247
13
Antiarthritic activity of soluble tumor necrosis factor receptor type I forms in adjuvant arthritis: correlation of plasma levels with efficacy.
199945
14 198336
15
Phase I/II trial of recombinant methionyl human tumor necrosis factor binding protein PEGylated dimer in patients with active refractory rheumatoid arthritis.
200034
16 199831
17 198530
18
Effects of PEGylated soluble tumor necrosis factor receptor type I (PEG sTNF-RI) alone and in combination with methotrexate in adjuvant arthritic rats.
199930
19 199922
20 198818

About James E. Seely

James E. Seely is a scholar working on Molecular Biology, Biochemistry, Clinical Biochemistry, Cell Biology and Physiology, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (17 papers), Polyamine Metabolism and Applications (17 papers), Metabolism and Genetic Disorders (10 papers), Aldose Reductase and Taurine (4 papers), Biochemical effects in animals (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Biochemistry (855 citations), Clinical Biochemistry (217 citations), Molecular Biology (1.2k citations), Pharmacology (222 citations) and Cell Biology (138 citations). James E. Seely has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Anthony E. Pegg, Hannu Pösö, A E Pegg, Lo Persson, Ian S. Zagon, Leonard S. Jefferson, Carl K. Edwards, A.M. Bendele, Bradley G. Erwin and Jennifer McComb. Their work appears in journals such as Biochemical and Biophysical Research Communications, Methods in enzymology on CD-ROM/Methods in enzymology, Biochemical Journal, Biochemistry and Journal of Biological Chemistry.

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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