James E. Seely

1.6k citations
29 papers · 1.4k indexed · h-index 19
Topics
Amino Acid Enzymes and Metabolism (17 papers)Polyamine Metabolism and Applications (17 papers)Metabolism and Genetic Disorders (10 papers)
Partner nations
United StatesIndiaCanada

In The Last Decade

James E. Seely

29 papers receiving 1.3k citations

Peers

James E. Seely
Comparison fields: 5 of 97
  • Molecular Biology 1.1k
  • Biochemistry 833
  • Clinical Biochemistry 214
  • Pharmacology 204
  • Cell Biology 133
Replace Mari K. Haddox with:
Mari K. Haddox United States
Gabriele Dodt Germany
Satoshi Yamashita Japan
Gordon Watson United States
Catriona M. H. Anderson United Kingdom
Chiseko Noda Japan
Tetsuya Hirabayashi Japan
William J. Steele United States
Frances A. Emig United States
Yumiko Nishinaka Japan
James E. Seely relative to Mari K. Haddox United States Mari K. Haddox's profile →
Citations per field
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Mari K. Haddox · 1×
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-authorship network of co-authors of James E. Seely

This figure shows the co-authorship network connecting the top 25 collaborators of James E. Seely. A scholar is included among the top collaborators of James E. Seely 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 James E. Seely. James E. Seely is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 85
2 12
3
Effects of PEGylated soluble tumor necrosis factor receptor type I (PEG sTNF-RI) alone and in combination with methotrexate in adjuvant arthritic rats.
29
4 21
5 30
6 51
7 17
8 17
9 26
10 92
11 12
12 14
13 124
14 73
15 7
16
Polyamine biosynthesis and interconversion in rodent tissues.
46
17 2
18 131
19 76
20 10

About James E. Seely

James E. Seely is a scholar working on Biochemistry, Clinical Biochemistry and Behavioral Neuroscience, having authored 29 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) and Metabolism and Genetic Disorders (10 papers). The work is most often cited by research in Biochemistry (833 citations), Clinical Biochemistry (214 citations) and Molecular Biology (1.1k 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, A.M. Bendele, Carl K. Edwards, Bradley G. Erwin and Jennifer McComb. Their work appears in journals such as Science, Journal of Biological Chemistry and The Journal of Immunology.

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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