Kenyon G. Daniel

31 papers receiving 2.2k citations

Kenyon G. Daniel's Hit Papers

The Significance of Chirality in Drug Design and Development 2011 · 566 citations
5660+5+10Years since publication100200300400500

Peers

Kenyon G. Daniel
Comparison fields: 5 of 117
  • Applied Microbiology and Biotechnology 58
  • Oncology 613
  • Toxicology 67
  • Organic Chemistry 548
  • Biochemistry 104
Replace Vesna Milacic with:
Vesna Milacic United States
Qiuzhi Cindy Cui United States
Parvez Κhan India
Cheng‐Chia Yu Taiwan
Elena Cerrada Spain
Giuseppe Calvaruso Italy
Reinhard Paschke Germany
Roberta Galeazzi Italy
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Manu Jaggi India
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Countries citing papers authored by Kenyon G. Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Kenyon G. Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenyon G. Daniel. 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 Kenyon G. Daniel. The network helps show where Kenyon G. Daniel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Significance of Chirality in Drug Design and Development
Hit paper breakdown →
2011566
2 2005294
3 2005285
4 2003268
5 2003144
6 2003103
7 201299
8 201065
9 200859
10
Potential molecular targets of tea polyphenols in human tumor cells: significance in cancer prevention.
200357
11 201249
12
Interruption of tumor cell cycle progression through proteasome inhibition: implications for cancer therapy.
200344
13 201841
14 201040
15 200534
16 201228
17 201425
18 200623
19 201023
20 200719

About Kenyon G. Daniel

Kenyon G. Daniel is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Pathology and Forensic Medicine and Applied Microbiology and Biotechnology, having authored 31 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (15 papers), Computational Drug Discovery Methods (6 papers), Cell death mechanisms and regulation (4 papers), Metal complexes synthesis and properties (4 papers), Cancer, Lipids, and Metabolism (3 papers), Tannin, Tannase and Anticancer Activities (2 papers), Enzyme Structure and Function (2 papers) and Tea Polyphenols and Effects (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (58 citations), Oncology (613 citations), Toxicology (67 citations), Organic Chemistry (548 citations) and Biochemistry (104 citations). Kenyon G. Daniel has collaborated with scholars based in United States, China and Bulgaria. Frequent co-authors include Wayne C. Guida, Q. Ping Dou, Wesley H. Brooks, Di Chen, Aslamuzzaman Kazi, David M. Smith, Puja K. Gupta, Deborah J. Kuhn, Kristin R. Landis‐Piwowar and Qiuzhi Cindy Cui. Their work appears in journals such as Journal of Chemical Information and Modeling, Biochemical Pharmacology, Expert Opinion on Drug Discovery, International Journal of Molecular Medicine and Bioorganic & Medicinal Chemistry Letters.

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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