Malcolm E. Winkler

139 papers receiving 7.9k citations

Malcolm E. Winkler's Hit Papers

Phenotypic Landscape of a Bacterial Cell 2010 · 512 citations
5120+5+10Years since publication100200300400500

Peers

Malcolm E. Winkler
Comparison fields: 5 of 138
  • Molecular Medicine 781
  • Microbiology 638
  • Endocrinology 530
  • Genetics 2.7k
  • Molecular Biology 4.5k
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Dominique Mengin‐Lecreulx France
Jörg Stülke Germany
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Citations per year

Countries citing papers authored by Malcolm E. Winkler

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm E. Winkler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm E. Winkler. 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 Malcolm E. Winkler. The network helps show where Malcolm E. Winkler may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Phenotypic Landscape of a Bacterial Cell
Hit paper breakdown →
2010512
2
Bacterial Pathogenesis : A Molecular Approach
1994416
3 2006359
4 1994334
5 1997174
6 2004129
7 2002124
8 2002122
9 2003121
10 2011121
11 1996119
12 2005107
13 1995106
14 200599
15 201098
16 198197
17 199995
18 201990
19 198990
20 199889

About Malcolm E. Winkler

Malcolm E. Winkler is a scholar working on Molecular Biology, Genetics, Epidemiology, Public Health, Environmental and Occupational Health and Materials Chemistry, having authored 140 papers that have together received 8.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (47 papers), RNA and protein synthesis mechanisms (45 papers), Pneumonia and Respiratory Infections (44 papers), RNA modifications and cancer (24 papers), Enzyme Structure and Function (18 papers), Streptococcal Infections and Treatments (16 papers), Antimicrobial Resistance in Staphylococcus (15 papers) and Bacterial Infections and Vaccines (15 papers). The work is most often cited by research in Molecular Medicine (781 citations), Microbiology (638 citations), Endocrinology (530 citations), Genetics (2.7k citations) and Molecular Biology (4.5k citations). Malcolm E. Winkler has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Ho‐Ching Tiffany Tsui, Krystyna M. Kazmierczak, Wai‐Leung Ng, Genshi Zhao, Lok‐To Sham, Gang Feng, Hon‐Chiu Eastwood Leung, Kyle J. Wayne, Brenda A. Wilson and Dixie D. Whitt. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Proceedings of the National Academy of Sciences, Nucleic Acids Research and mBio.

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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