Kenneth R. Williams

13.3k total citations · 2 hit papers
207 papers, 10.7k citations indexed

About

Kenneth R. Williams is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Kenneth R. Williams has authored 207 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 37 papers in Materials Chemistry and 31 papers in Spectroscopy. Recurrent topics in Kenneth R. Williams's work include RNA and protein synthesis mechanisms (38 papers), Advanced Proteomics Techniques and Applications (28 papers) and Mass Spectrometry Techniques and Applications (25 papers). Kenneth R. Williams is often cited by papers focused on RNA and protein synthesis mechanisms (38 papers), Advanced Proteomics Techniques and Applications (28 papers) and Mass Spectrometry Techniques and Applications (25 papers). Kenneth R. Williams collaborates with scholars based in United States, United Kingdom and Japan. Kenneth R. Williams's co-authors include John W. Chase, Christopher M. Colangelo, Mark Gerstein, Dov Greenbaum, William H. Konigsberg, Kathryn L. Stone, B M Merrill, Yousif Shamoo, B. Wilshire and M B LoPresti and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Kenneth R. Williams

200 papers receiving 10.3k citations

Hit Papers

Comparing protein abundance and mRNA expression ... 1986 2026 1999 2012 2003 1986 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kenneth R. Williams United States 53 7.3k 1.6k 767 746 745 207 10.7k
Hua Xiao China 56 9.1k 1.2× 1.4k 0.9× 466 0.6× 489 0.7× 973 1.3× 303 13.1k
Atsushi Suzuki Japan 46 4.2k 0.6× 555 0.3× 584 0.8× 243 0.3× 1.2k 1.7× 269 9.0k
Shuk Han Cheng Hong Kong 59 4.0k 0.5× 1.3k 0.8× 1.6k 2.0× 411 0.6× 1.1k 1.4× 279 12.1k
Jan Johansson Sweden 67 8.5k 1.2× 849 0.5× 741 1.0× 129 0.2× 550 0.7× 396 17.8k
James C. Wang United States 69 14.9k 2.0× 1.8k 1.1× 579 0.8× 1.9k 2.5× 3.1k 4.2× 181 17.7k
John A. Williams United States 76 8.3k 1.1× 1.1k 0.7× 1.7k 2.2× 422 0.6× 2.5k 3.3× 690 24.0k
Martin Fussenegger Switzerland 67 12.0k 1.6× 2.8k 1.7× 355 0.5× 277 0.4× 1.5k 2.0× 339 16.3k
Kenshi Hayashi Japan 40 4.1k 0.6× 1.2k 0.7× 166 0.2× 274 0.4× 1.3k 1.8× 267 9.1k
Peter Walter Germany 45 9.2k 1.3× 2.4k 1.5× 577 0.8× 416 0.6× 590 0.8× 337 16.7k
Xun Xu China 62 6.6k 0.9× 1.9k 1.2× 288 0.4× 664 0.9× 875 1.2× 400 14.4k

Countries citing papers authored by Kenneth R. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth R. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth R. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth R. Williams. A scholar is included among the top collaborators of Kenneth R. Williams 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 Kenneth R. Williams. Kenneth R. Williams 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
1.
Williams, Kenneth R., et al.. (2025). CAD at the Intersection of Cardiology and Rheumatology: Focus on Cardiovascular Imaging. Methodist DeBakey Cardiovascular Journal. 21(4). 65–75.
2.
Wang, Jiawei, Yujing Liu, Hongyu Li, et al.. (2025). A multi-omic approach implicates novel protein dysregulation in post-traumatic stress disorder. Genome Medicine. 17(1). 43–43. 1 indexed citations
3.
Ketchesin, Kyle D., Darius D. Becker‐Krail, Xiangning Xue, et al.. (2023). Differential Effects of Cocaine and Morphine on the Diurnal Regulation of the Mouse Nucleus Accumbens Proteome. Journal of Proteome Research. 22(7). 2377–2390. 4 indexed citations
4.
Mansuri, M. Shahid, et al.. (2021). Exosomes as Emerging Biomarker Tools in Neurodegenerative and Neuropsychiatric Disorders—A Proteomics Perspective. Brain Sciences. 11(2). 258–258. 33 indexed citations
5.
Mansuri, M. Shahid, Gang Peng, Rashaun S. Wilson, et al.. (2020). Differential Protein Expression in Striatal D1- and D2-Dopamine Receptor-Expressing Medium Spiny Neurons. Proteomes. 8(4). 27–27. 6 indexed citations
7.
Williams, Kenneth R.. (2010). The effect of initial entry training on the moral and character development of military police soldiers. ScholarWorks (Walden University). 48(5). 458–60. 2 indexed citations
8.
Harker, Nicola, Eleni Ktistaki, Henrique Veiga‐Fernandes, et al.. (2008). Position effect variegation and imprinting of transgenes in lymphocytes. Nucleic Acids Research. 36(7). 2320–2329. 44 indexed citations
9.
Colangelo, Christopher M. & Kenneth R. Williams. (2006). Isotope-Coded Affinity Tags for Protein Quantification. Humana Press eBooks. 328. 151–158. 19 indexed citations
10.
Yu, Weichuan, et al.. (2005). Detecting and aligning peaks in mass spectrometry data with applications to MALDI. Computational Biology and Chemistry. 30(1). 27–38. 39 indexed citations
11.
Hoek, Keith S., David L. Rimm, Kenneth R. Williams, et al.. (2004). Expression Profiling Reveals Novel Pathways in the Transformation of Melanocytes to Melanomas. Cancer Research. 64(15). 5270–5282. 371 indexed citations
12.
Williams, Kenneth R. & Jennifer G. Wishart. (2003). The Son‐Rise Program1 intervention for autism: an investigation into family experiences. Journal of Intellectual Disability Research. 47(4-5). 291–299. 24 indexed citations
13.
Williams, Kenneth R. & Kathryn L. Stone. (2003). Identifying Sites of Posttranslational Modifications in Proteins Via HPLC Peptide Mapping. Humana Press eBooks. 40. 157–176. 12 indexed citations
14.
Williams, Kenneth R., et al.. (2002). The cosmic calculator : a vedic mathematics course for schools.
15.
Williams, Kenneth R. & Kathryn L. Stone. (1997). Enzymatic cleavage and HPLC peptide mapping of proteins. Molecular Biotechnology. 8(2). 155–167. 25 indexed citations
16.
Paik, Woon Ki, et al.. (1997). Identification of N(G)-methylarginine residues in heterogenous nuclear RNP protein A1. Amino Acids. 13(1). 28–29. 1 indexed citations
17.
Shamoo, Yousif, et al.. (1997). Crystal structure of the two RNA binding domains of human hnRNP A1 at 1.75 Å resolution. Nature Structural Biology. 4(3). 215–222. 118 indexed citations
18.
Abdul-Manan, Norzehan, Shawn O’Malley, & Kenneth R. Williams. (1996). Origins of Binding Specificity of the A1 Heterogeneous Nuclear Ribonucleoprotein. Biochemistry. 35(11). 3545–3554. 42 indexed citations
19.
Webster, Kevin R., et al.. (1992). Identification of amino acid residues at the interface of a bacteriophage T4 regA protein-nucleic acid complex.. Journal of Biological Chemistry. 267(36). 26097–26103. 7 indexed citations
20.
Shamoo, Yousif, Kenneth R. Williams, & William H. Konigsberg. (1988). Photochemical crosslinking of bacteriophage T4 single‐stranded DNA‐binding protein (gp32) to oligo‐p(dT)8: Identification of phenylalanine‐183 as the site of crosslinking. Proteins Structure Function and Bioinformatics. 4(1). 1–6. 67 indexed citations

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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