M.M. Cherney

76 papers receiving 3.5k citations

Peers

M.M. Cherney
Comparison fields: 5 of 114
  • Endocrinology 271
  • Hepatology 359
  • Infectious Diseases 787
  • Biotechnology 304
  • Molecular Biology 1.9k
Replace J. Sivaraman with:
J. Sivaraman Singapore
Rolf Wagner Germany
Narayanaswamy Srinivasan India
Rupert J. Russell United Kingdom
David N. Frick United States
Markus Wiederstein Austria
CongBao Kang Singapore
Byung‐Ha Oh South Korea
J.A. Brannigan United Kingdom
Marie-Pierre Egloff France
M.M. Cherney relative to J. Sivaraman Singapore J. Sivaraman's profile →
Citations per field
00.5×1.5×
J. Sivaraman · 1×
Citations per year

Countries citing papers authored by M.M. Cherney

Since Specialization
Citations

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

Fields of papers citing papers by M.M. Cherney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004228
2 2003185
3 2001175
4 1997162
5 2003160
6 2006159
7 2005152
8 2005139
9 2002132
10 2001127
11 2007126
12 199994
13 200889
14 201079
15 200676
16 200473
17 200569
18 200363
19 200661
20 200261

About M.M. Cherney

M.M. Cherney is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Biotechnology and Biochemistry, having authored 76 papers that have together received 3.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (28 papers), Biochemical and Molecular Research (19 papers), Polyamine Metabolism and Applications (10 papers), Amino Acid Enzymes and Metabolism (10 papers), Enzyme Production and Characterization (9 papers), Biochemical and Structural Characterization (8 papers), Bacterial Genetics and Biotechnology (7 papers) and Tuberculosis Research and Epidemiology (7 papers). The work is most often cited by research in Endocrinology (271 citations), Hepatology (359 citations), Infectious Diseases (787 citations), Biotechnology (304 citations) and Molecular Biology (1.9k citations). M.M. Cherney has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Michael N.G. James, Michael N.G. James, Craig R. Garen, Don J. Mahuran, Brian L. Mark, M. Joanne Lemieux, Kenneth Ng, Katherine Bateman, M. Fujinaga and John C. Vederas. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Journal of Structural and Functional Genomics.

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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