Michael Cable

21 papers receiving 1.6k citations

Michael Cable's Hit Papers

Crystal structure of the RNA-dependent RNA polymerase from hepatitis C virus reveals a fully encircled active site. 1999 · 632 citations
6320+9+18Years since publication200400600

Peers

Michael Cable
Comparison fields: 5 of 100
  • Hepatology 644
  • Virology 111
  • Infectious Diseases 304
  • Cellular and Molecular Neuroscience 283
  • Gastroenterology 77
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Countries citing papers authored by Michael Cable

Since Specialization
Citations

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

Fields of papers citing papers by Michael Cable

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Crystal structure of the RNA-dependent RNA polymerase from hepatitis C virus reveals a fully encircled active site.
Hit paper breakdown →
1999632
2 1997403
3 1985104
4
Vasoactive intestinal peptide. Relaxant neurotransmitter in tenia coli of the guinea pig.
198596
5 198593
6 199177
7 198565
8 198048
9 198538
10 199727
11 200923
12 197822
13 198421
14 200620
15 200017
16 199215
17 198612
18 200412
19 200912
20 198610

About Michael Cable

Michael Cable is a scholar working on Molecular Biology, Hepatology, Cellular and Molecular Neuroscience, Infectious Diseases and Physiology, having authored 21 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), HIV/AIDS drug development and treatment (4 papers), Neuropeptides and Animal Physiology (4 papers), Adenosine and Purinergic Signaling (3 papers), Quinazolinone synthesis and applications (3 papers), Fungal and yeast genetics research (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Hepatology (644 citations), Virology (111 citations), Infectious Diseases (304 citations), Cellular and Molecular Neuroscience (283 citations) and Gastroenterology (77 citations). Michael Cable has collaborated with scholars based in United States, Papua New Guinea and United Kingdom. Frequent co-authors include Patricia C Weber, Anthony Mannarino, Charles A. Lesburg, Zhi Hong, Eric Ferrari, J. R. Grider, Sami I. Said, Thomas Hesson, Nanhua Yao and Ann D. Kwong. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Biochemistry, Gastroenterology, Advances in experimental medicine and biology and Biochemical and Biophysical Research Communications.

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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