Dewight Williams

3.4k citations
57 papers · 2.4k indexed · 1 hit paper · h-index 31

Dewight Williams

56 papers receiving 2.4k citations

Hit Papers

Posttranslational Modifications Mediate the Structural Di...293202020262022202450100150200250

Peers

Dewight Williams
Comparison fields: 5 of 122
  • Structural Biology 52
  • Endocrine and Autonomic Systems 213
  • Molecular Biology 1.7k
  • Cellular and Molecular Neuroscience 373
  • Aging 25
Replace Shuji Akiyama with:
Shuji Akiyama Japan
Toshihiko Oka Japan
Eli Rothenberg United States
Daria M. Shcherbakova United States
Kazuhiro Mio Japan
Mark A. Hink Netherlands
Vinzenz M. Unger United States
Kazutoshi Tani Japan
Ammasi Periasamy United States
Willisa Liou Taiwan
Dewight Williams relative to Shuji Akiyama Japan Shuji Akiyama's profile →
Citations per field
00.5×3.1×
Shuji Akiyama · 1×
Citations per year

Countries citing papers authored by Dewight Williams

Since Specialization
Citations

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

Fields of papers citing papers by Dewight Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2 20223
3 20226
4 202127
5 20215
6 20211
7 202033
8 202070
9 20203
10 202062
11 202020
12 2019213
13 201643
14 201649
15 201431
16 200852
17 200819
18 200683
19 1998126
20 199232

About Dewight Williams

Dewight Williams is a scholar working on Structural Biology, Molecular Biology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Renewable Energy, Sustainability and the Environment, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (11 papers), Advanced biosensing and bioanalysis techniques (6 papers), Photoreceptor and optogenetics research (5 papers), DNA Repair Mechanisms (5 papers), RNA Interference and Gene Delivery (5 papers), Light effects on plants (5 papers), Enzyme Structure and Function (5 papers) and Advanced Electron Microscopy Techniques and Applications (5 papers). The work is most often cited by research in Structural Biology (52 citations), Endocrine and Autonomic Systems (213 citations), Molecular Biology (1.7k citations), Cellular and Molecular Neuroscience (373 citations) and Aging (25 citations). Dewight Williams has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Phoebe L. Stewart, Tetsuya Mori, Carl Hirschie Johnson, Martin Egli, J. Richard McIntosh, Ximing Qin, Rekha Pattanayek, Hassane S. Mchaourab, Mark Byrne and Po‐Lin Chiu. Their work appears in journals such as Structure, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, PLoS ONE and Nature 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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