Charles R. Watts

1.5k total citations · 1 hit paper
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), Glioma Diagnosis and Treatment (3 papers) and Alzheimer's disease research and treatments (3 papers). Charles R. Watts is often cited by papers focused on Protein Structure and Dynamics (7 papers), Glioma Diagnosis and Treatment (3 papers) and Alzheimer's disease research and treatments (3 papers). Charles R. Watts collaborates with scholars based in United States, China and Canada. Charles R. Watts's co-authors include K. N. Houk, L. J. Luskus, Joyner Sims, Sándor Lovas, Deborah A. Kallick, C.Y. Li, Richard F. Murphy, Paul W. Sperduto, Terry W. Hood and Christina Maria Sperduto 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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles R. Watts United States 14 727 403 136 123 104 26 1.3k
Jan Čejka Czechia 19 350 0.5× 261 0.6× 77 0.6× 61 0.5× 78 0.8× 120 1.3k
Arlindo L. Castelhano United States 22 546 0.8× 494 1.2× 56 0.4× 61 0.5× 211 2.0× 36 1.2k
Kunihiro Ninomiya Japan 10 1.0k 1.4× 786 2.0× 65 0.5× 46 0.4× 128 1.2× 16 1.8k
Jan Scicinski United States 23 655 0.9× 641 1.6× 43 0.3× 84 0.7× 115 1.1× 52 1.4k
S. W. BALDWIN United States 20 743 1.0× 238 0.6× 108 0.8× 282 2.3× 69 0.7× 55 1.5k
Jordi Teixidó Spain 22 662 0.9× 507 1.3× 22 0.2× 280 2.3× 142 1.4× 111 1.6k
C. E. Smithen United Kingdom 12 197 0.3× 306 0.8× 107 0.8× 168 1.4× 85 0.8× 21 939
Hiroshi Akimoto Japan 17 281 0.4× 314 0.8× 23 0.2× 54 0.4× 59 0.6× 76 902
Dieter Dorsch Germany 18 368 0.5× 381 0.9× 14 0.1× 79 0.6× 91 0.9× 40 950
Leslie W.‐M. Fung United States 23 176 0.2× 712 1.8× 60 0.4× 83 0.7× 19 0.2× 65 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

20 of 20 papers shown
3.
Lovas, Sándor, et al.. (2019). Conformation and Domain Movement Analysis of Human Matrix Metalloproteinase-2: Role of Associated Zn2+ and Ca2+ Ions. International Journal of Molecular Sciences. 20(17). 4194–4194. 7 indexed citations
4.
Gregory, Andrew, et al.. (2019). Effects of Selective Substitution of Cysteine Residues on the Conformational Properties of Chlorotoxin Explored by Molecular Dynamics Simulations. International Journal of Molecular Sciences. 20(6). 1261–1261. 6 indexed citations
5.
Kerezoudis, Panagiotis, et al.. (2018). Diagnosis and Treatment of Isolated Cerebral Mucormycosis: Patient-Level Data Meta-Analysis and Mayo Clinic Experience. World Neurosurgery. 123. 425–434.e5. 24 indexed citations
6.
Watts, Charles R., et al.. (2017). Effects of force fields on the conformational and dynamic properties of amyloid β(1‐40) dimer explored by replica exchange molecular dynamics simulations. Proteins Structure Function and Bioinformatics. 86(3). 279–300. 19 indexed citations
7.
Watts, Charles R., et al.. (2016). Sedation and Analgesia in Neurosurgery/Neurocritical Care. Contemporary Neurosurgery. 38(13). 1–6. 3 indexed citations
8.
Watanabe, Yoichi, Jianling Yuan, Matthew A. Hunt, et al.. (2013). Gamma knife stereotactic radiosurgery for renal cell carcinoma and melanoma brain metastases-comparison of dose response.. PubMed. 2(3). 193–207. 5 indexed citations
9.
Skarda, David E., et al.. (2008). Aggressive Red Blood Cell Transfusion: No Association with Improved Outcomes for Victims of Isolated Traumatic Brain Injury. Neurocritical Care. 8(3). 337–343. 54 indexed citations
10.
Watts, Charles R., Mihaly Mezei, Richard F. Murphy, & Sándor Lovas. (2001). Conformational Space Comparison of GnRH and lGnRH-III using Molecular Dynamics, Cluster Analysis and Monte Carlo Thermodynamic Integration. Journal of Biomolecular Structure and Dynamics. 18(5). 733–748. 15 indexed citations
11.
Watts, Charles R., et al.. (2001). Significance of aromatic‐backbone amide interactions in protein structure. Proteins Structure Function and Bioinformatics. 43(4). 373–381. 84 indexed citations
12.
Watts, Charles R., Gergely Tóth, Richard F. Murphy, & Sándor Lovas. (2001). Domain movement in the epidermal growth factor family of peptides. Journal of Molecular Structure THEOCHEM. 535(1-3). 171–182. 6 indexed citations
13.
Kallick, Deborah A., et al.. (1995). The Use of Dodecylphosphocholine Micelles in Solution NMR. Journal of Magnetic Resonance Series B. 109(1). 60–65. 130 indexed citations
14.
Watts, Charles R., Sean M. Kerwin, George L. Kenyon, Irwin D. Kuntz, & Deborah A. Kallick. (1995). Rationally Designed N,N'-Bis[(N-p-guanidinobenzyl-N-methyl)aminocarbonyl]-1,3-diaminobenzene , "BIGBEN", Binds to the Minor Groove of d(CGCGAATTCGCG)2 as Determined by Two-Dimensional Nuclear Magnetic Resonance Spectroscopy. Journal of the American Chemical Society. 117(40). 9941–9950. 14 indexed citations
15.
Watts, Charles R., et al.. (1995). Structure of Leu5-enkephalin bound to a model membrane as determined by high-resolution NMR. Letters in Peptide Science. 2(2). 59–70. 15 indexed citations
16.
Mukherjee, Debabrata, Charles R. Watts, & K. N. Houk. (1978). Periselectivity in the [4 + 2] and [6 + 4] cycloadditions of diphenylnitrilimine to tropone. The Journal of Organic Chemistry. 43(5). 817–821. 36 indexed citations
17.
Watts, Charles R.. (1977). Disseminated intravascular coagulation.. PubMed. 8(4). 258–62. 12 indexed citations
18.
Watts, Charles R.. (1976). The management of intracranial calcified subdural hematomas.. PubMed. 6(4). 247–50. 21 indexed citations
19.
Houk, K. N., Joyner Sims, Charles R. Watts, & L. J. Luskus. (1973). Origin of reactivity, regioselectivity, and periselectivity in 1,3-dipolar cycloadditions. Journal of the American Chemical Society. 95(22). 7301–7315. 645 indexed citations breakdown →
20.
Houk, K. N. & Charles R. Watts. (1970). Cycloadditions of tropone and diphenylnitrileimine: A [6+4] 1,3-dipolar cycloaddition. Tetrahedron Letters. 11(46). 4025–4027. 27 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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