Wayne M. Becker

1.7k citations
46 papers · 1.3k · h-index 21

Impact in

    • Lipid metabolism and biosynthesis
    • Plant Stress Responses and Tolerance
    • Plant nutrient uptake and metabolism

Papers in

    • Photosynthetic Processes and Mechanisms 16
    • Peroxisome Proliferator-Activated Receptors 8
    • Plant biochemistry and biosynthesis 5
    • Plant Gene Expression Analysis 4

Wayne M. Becker

45 papers receiving 1.2k citations

Peers

Wayne M. Becker
Comparison fields: 5 of 97
  • Biochemistry 188
  • Plant Science 558
  • Molecular Biology 951
  • Biotechnology 97
  • Clinical Biochemistry 59
Replace Eugene L. Vigil with:
Eugene L. Vigil United States
C. J. Leaver United Kingdom
T. Kagawa United States
Robert J. Roon United States
Κ. Κ. Tewari United States
Simon P. Gough Denmark
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Wayne M. Becker relative to Eugene L. Vigil United States Eugene L. Vigil's profile →
Citations per field
00.5×3.3×
Eugene L. Vigil · 1×
Citations per year

Countries citing papers authored by Wayne M. Becker

Since Specialization
Citations

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

Fields of papers citing papers by Wayne M. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971144
2 1985116
3 1978102
4 197081
5 198974
6 198069
7 198061
8 196654
9 197847
10 198344
11 197441
12 197334
13 197233
14 197630
15 197430
16 196628
17 198727
18 197327
19 197222
20 198222

About Wayne M. Becker

Wayne M. Becker is a scholar working on Molecular Biology, Plant Science, Biotechnology, Biochemistry and Physiology, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (16 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Plant biochemistry and biosynthesis (5 papers), Lipid metabolism and biosynthesis (4 papers), Plant Gene Expression Analysis (4 papers), Biochemical and biochemical processes (4 papers), Adipose Tissue and Metabolism (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Biochemistry (188 citations), Plant Science (558 citations), Molecular Biology (951 citations), Biotechnology (97 citations) and Clinical Biochemistry (59 citations). Wayne M. Becker has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Richard N. Trelease, Eldon H. Newcomb, Peter J. Gruber, Howard Riezman, Christopher J. Leaver, Elizabeth Weir, W. G. Hoekstra, James S. Sloan, David Hondred and Jerome J. Jendrisak. Their work appears in journals such as PLANT PHYSIOLOGY, Plant Molecular Biology, The Journal of Cell Biology, Journal of Nutrition and Planta.

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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