Charles R. Watts

46 total papers · 1.5k total citations
26 papers, 1.3k citations indexed

About

Charles R. Watts is a scholar working on Molecular Biology, Organic Chemistry and Neurology. According to data from OpenAlex, Charles R. Watts has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Organic Chemistry and 4 papers in Neurology. Recurrent topics in Charles R. Watts's work include Protein Structure and Dynamics (7 papers), Alzheimer's disease research and treatments (3 papers) and Glioma Diagnosis and Treatment (3 papers). Charles R. Watts is often cited by papers focused on Protein Structure and Dynamics (7 papers), Alzheimer's disease research and treatments (3 papers) and Glioma Diagnosis and Treatment (3 papers). Charles R. Watts collaborates with scholars based in United States, Canada and China. Charles R. Watts's co-authors include K. N. Houk, Joyner Sims, L. J. Luskus, Sándor Lovas, Deborah A. Kallick, C.Y. Li, Richard F. Murphy, Gregg N. Dyste, Paul W. Sperduto and Yoichi Watanabe and has published in prestigious journals such as Journal of the American Chemical Society, International Journal of Molecular Sciences and Journal of neurosurgery.

In The Last Decade

Charles R. Watts

25 papers receiving 1.2k citations

Hit Papers

Origin of reactivity, reg... 1973 2026 1990 2008 1973 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Charles R. Watts 727 403 136 124 105 26 1.3k
Kunihiro Ninomiya 1000 1.4× 785 1.9× 65 0.5× 46 0.4× 128 1.2× 16 1.8k
Arlindo L. Castelhano 549 0.8× 495 1.2× 55 0.4× 61 0.5× 213 2.0× 36 1.2k
M.E. Watts 242 0.3× 554 1.4× 111 0.8× 293 2.4× 134 1.3× 35 1.4k
Walter Massefski 310 0.4× 463 1.1× 72 0.5× 171 1.4× 129 1.2× 33 1.5k
Eugene E. Kwan 825 1.1× 691 1.7× 122 0.9× 22 0.2× 53 0.5× 38 1.7k
Göran Claeson 368 0.5× 403 1.0× 25 0.2× 192 1.5× 165 1.6× 49 1.5k
Jan Scicinski 655 0.9× 641 1.6× 42 0.3× 84 0.7× 115 1.1× 52 1.4k
Steven M. Pitzenberger 422 0.6× 610 1.5× 77 0.6× 96 0.8× 151 1.4× 49 1.5k
S. W. BALDWIN 742 1.0× 237 0.6× 108 0.8× 282 2.3× 68 0.6× 55 1.4k
Zhuo Yang 190 0.3× 625 1.6× 34 0.3× 42 0.3× 94 0.9× 42 1.4k

Countries citing papers authored by Charles R. Watts

Since Specialization
Citations

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

Fields of papers citing papers by Charles R. Watts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles R. Watts

This figure shows the co-authorship network connecting the top 25 collaborators of Charles R. Watts. A scholar is included among the top collaborators of Charles R. Watts 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 Charles R. Watts. Charles R. Watts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026