S A Chow

1.8k citations
33 papers · 1.6k · h-index 21

Impact in

Papers in

    • DNA Repair Mechanisms 6
    • DNA and Nucleic Acid Chemistry 6
    • Phosphodiesterase function and regulation 4
    • Receptor Mechanisms and Signaling 3
    • HIV Research and Treatment 9

S A Chow

32 papers receiving 1.6k citations

Peers

S A Chow
Comparison fields: 5 of 98
  • Virology 497
  • Infectious Diseases 489
  • Molecular Biology 882
  • Psychiatry and Mental health 99
  • Genetics 195
Replace Gianluca Sbardella with:
Gianluca Sbardella Italy
Xinli Lin United States
Hideya Hayashi Japan
Masako Abe Japan
Aiming Sun United States
Abigail Wolfe United States
Ivo C. Martins Portugal
Ramamurthy Charubala Germany
P Sinibaldi Vallebona Italy
Graham S. Jackson United Kingdom
S A Chow relative to Gianluca Sbardella Italy Gianluca Sbardella's profile →
Citations per field
00.5×4.3×
Gianluca Sbardella · 1×
Citations per year

Countries citing papers authored by S A Chow

Since Specialization
Citations

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

Fields of papers citing papers by S A Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S A Chow. 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 S A Chow. The network helps show where S A Chow may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996197
2 2016196
3 1993174
4 1996137
5 200289
6 199789
7 199679
8 199770
9 200160
10 198557
11 199456
12 198847
13 198646
14 200144
15 199435
16 199732
17 198829
18 200825
19 200125
20 198421

About S A Chow

S A Chow is a scholar working on Molecular Biology, Virology, Infectious Diseases, Genetics and Pharmacology, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (8 papers), DNA Repair Mechanisms (6 papers), DNA and Nucleic Acid Chemistry (6 papers), Phosphodiesterase function and regulation (4 papers), Bacterial Genetics and Biotechnology (4 papers), HIV/AIDS Research and Interventions (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Virology (497 citations), Infectious Diseases (489 citations), Molecular Biology (882 citations), Psychiatry and Mental health (99 citations) and Genetics (195 citations). S A Chow has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Patrick O. Brown, Charles M. Radding, Viola Ellison, Manfred G. Reinecke, Qi Jia, William E. Robinson, Richard Tu, Karen A. Vincent, Hélène Goulaouic and Tom F. Lue. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Journal of Cellular Biochemistry and Proceedings of the National Academy of Sciences.

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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