Ralph Paxton

2.2k citations
45 papers · 1.9k · h-index 24

Impact in

Papers in

Ralph Paxton

45 papers receiving 1.8k citations

Peers

Ralph Paxton
Comparison fields: 5 of 93
  • Clinical Biochemistry 623
  • Biochemistry 552
  • Cell Biology 382
  • Physiology 486
  • Periodontics 84
Replace George F. Wilgram with:
George F. Wilgram United States
Ian Blench United Kingdom
Richard G. Kulka Israel
Junpei Asai Japan
A. E. Axelrod United States
Ernst-Dieter Jarasch Germany
Katalin Bánki United States
Wayne L. Ryan United States
John McClary United States
W. Vogt Germany
Ralph Paxton relative to George F. Wilgram United States George F. Wilgram's profile →
Citations per field
00.5×7.3×
George F. Wilgram · 1×
Citations per year

Countries citing papers authored by Ralph Paxton

Since Specialization
Citations

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

Fields of papers citing papers by Ralph Paxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987187
2 1984154
3 1982151
4 1991136
5 1990129
6 198391
7 198776
8 198666
9 198666
10 198565
11 198264
12 199054
13
Differential regulation of carcinoembryonic antigen and biliary glycoprotein by gamma-interferon.
199352
14 198750
15 198647
16 198445
17 198244
18 198841
19 198838
20 198633

About Ralph Paxton

Ralph Paxton is a scholar working on Clinical Biochemistry, Biochemistry, Physiology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (20 papers), Biochemical Acid Research Studies (18 papers), Diet and metabolism studies (17 papers), Diet, Metabolism, and Disease (10 papers), Muscle metabolism and nutrition (7 papers), Amino Acid Enzymes and Metabolism (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). The work is most often cited by research in Clinical Biochemistry (623 citations), Biochemistry (552 citations), Cell Biology (382 citations), Physiology (486 citations) and Periodontics (84 citations). Ralph Paxton has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Robert A. Harris, Robert A. Harris, John E. Shively, Gregory Mooser, Gary W. Goodwin, Martha J. Kuntz, Hema Pande, Stanley A. Hefta, J E Shively and T D Lee. Their work appears in journals such as Biochemical Journal, Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Analytical Biochemistry and Methods in enzymology on CD-ROM/Methods in enzymology.

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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