C.J. Chern

561 citations
26 papers · 451 · h-index 14

Impact in

Papers in

    • Biochemical and Molecular Research 7
    • Glycosylation and Glycoproteins Research 6
    • ATP Synthase and ATPases Research 2
    • Erythrocyte Function and Pathophysiology 10

C.J. Chern

26 papers receiving 396 citations

Peers

C.J. Chern
Comparison fields: 5 of 79
  • Biochemistry 37
  • Physiology 23
  • Physiology 129
  • Cell Biology 78
  • Cancer Research 67
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Citations per field
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Citations per year

Countries citing papers authored by C.J. Chern

Since Specialization
Citations

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

Fields of papers citing papers by C.J. Chern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.J. Chern. 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 C.J. Chern. The network helps show where C.J. Chern may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Formation of benzo(a)pyrene-glucuronic acid conjugates in hamster embryo cell cultures.
197759
2 197241
3 196930
4
Biochemical and electrophoretic studies of erythrocyte pyridoxine kinase in white and black Americans.
197628
5 197727
6 197726
7 197425
8
Assignment of the structural gene for human beta glucuronidase to chromosome 7 and tetrameric association of subunits in the enzyme molecule.
197623
9 197522
10 197520
11 197519
12 197516
13 197514
14 197614
15 197613
16
Formation of glucuronic acid conjugates of 7,12-dimethylbenz(a)anthracene phenols in 7,12-dimethylbenz(a)anthracene-treated hamster embryo cell cultures.
197813
17 197711
18 198011
19 19779
20 19757

About C.J. Chern

C.J. Chern is a scholar working on Molecular Biology, Physiology, Surgery, Cell Biology and Genetics, having authored 26 papers that have together received 451 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (10 papers), Biochemical and Molecular Research (7 papers), Pancreatic function and diabetes (6 papers), Glycosylation and Glycoproteins Research (6 papers), Hemoglobin structure and function (5 papers), Cancer Research and Treatments (2 papers), ATP Synthase and ATPases Research (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Biochemistry (37 citations), Physiology (23 citations), Physiology (129 citations), Cell Biology (78 citations) and Cancer Research (67 citations). C.J. Chern has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Ernest Beutler, John A. Black, William M. Baird, Carlo M. Croce, Marvin B. Rittenberg, William J. Mellman, Allan J. Morris, Alexander MacDonald, Richard N. Harkins and Roger H. Kennett. Their work appears in journals such as Cytogenetic and Genome Research, Journal of Biological Chemistry, Biochemical Genetics, Proceedings of the National Academy of Sciences and FEBS Letters.

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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