Wade C. Winkler

9.8k citations
70 papers · 7.5k indexed · 5 hit papers · h-index 33
Topics
RNA and protein synthesis mechanisms (52 papers)Bacterial Genetics and Biotechnology (38 papers)RNA modifications and cancer (22 papers)

In The Last Decade

Wade C. Winkler

68 papers receiving 7.4k citations

Hit Papers

Thiamine derivatives bind messenger RNAs directly to regu...200220262010201820022004200320052002250500750

Peers

Wade C. Winkler
Comparison fields: 5 of 133
  • Molecular Biology 6.8k
  • Genetics 2.5k
  • Ecology 932
  • Materials Chemistry 341
  • Plant Science 233
Replace Thomas D. Schneider with:
Thomas D. Schneider United States
Dmitrij Frishman Germany
Willem P.C. Stemmer United States
Sue Wickner United States
A. Biegert Germany
Walid A. Houry Canada
Andreas Kühn Germany
Leszek Rychlewski Poland
J.A. Brannigan United Kingdom
Henri Buc France
Wade C. Winkler relative to Thomas D. Schneider United States Thomas D. Schneider's profile →
Citations per field
00.5×1.5×1.9×
Thomas D. Schneider · 1×
Citations per year

Countries citing papers authored by Wade C. Winkler

Since Specialization
Citations

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

Fields of papers citing papers by Wade C. Winkler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wade C. Winkler

This figure shows the co-authorship network connecting the top 25 collaborators of Wade C. Winkler. A scholar is included among the top collaborators of Wade C. Winkler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wade C. Winkler. Wade C. Winkler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 8
4 3
5 6
6 9
7 58
8 166
9 76
10 4
11 313
12 56
13 22
14 390
15 95
16 387
17
Riboswitches Control Fundamental Biochemical Pathways in Bacillus subtilis and Other Bacteriabreakdown →
582
18
RNA elements required for T box antitermination
2
19
Methods for record linkage and bayesian networks
31
20
Using the EM Algorithm for Weight Computation in the Fellegi-Sunter Model of Record Linkage
51

About Wade C. Winkler

Wade C. Winkler is a scholar working on Genetics, Molecular Biology and Ecology, having authored 70 papers that have together received 7.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (52 papers), Bacterial Genetics and Biotechnology (38 papers) and RNA modifications and cancer (22 papers). The work is most often cited by research in Molecular Biology (6.8k citations), Genetics (2.5k citations) and Ecology (932 citations). Wade C. Winkler has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Ronald R. Breaker, Ali Nahvi, Jeffrey E. Barrick, Jennifer A. Collins, Irnov Irnov, Adam Roth, Smadar Cohen‐Chalamish, Maumita Mandal, J. Kenneth Wickiser and Catherine A. Wakeman. Their work appears in journals such as Nature, Science and Cell.

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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