Richard G. Dailey

802 total citations · 1 hit paper
7 papers, 562 citations indexed

About

Richard G. Dailey is a scholar working on Organic Chemistry, Molecular Biology and Plant Science. According to data from OpenAlex, Richard G. Dailey has authored 7 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Organic Chemistry, 3 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Richard G. Dailey's work include Sesquiterpenes and Asteraceae Studies (2 papers), Phytochemistry and Bioactive Compounds (1 paper) and Chemical Synthesis and Analysis (1 paper). Richard G. Dailey is often cited by papers focused on Sesquiterpenes and Asteraceae Studies (2 papers), Phytochemistry and Bioactive Compounds (1 paper) and Chemical Synthesis and Analysis (1 paper). Richard G. Dailey collaborates with scholars based in United States. Richard G. Dailey's co-authors include S. Morris Kupchan, R. F. Bryan, William A. Court, C. J. Gilmore, Albert T. Sneden, Alan R. Branfman, Yasuo Komoda, Bruce B. Jarvis, Ashok Verma and Yoshimitsu Nagao and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Organic Chemistry and Journal of Natural Products.

In The Last Decade

Richard G. Dailey

7 papers receiving 534 citations

Hit Papers

Tumor inhibitors. LXXIV. Triptolide and tripdiolide, nove... 1972 2026 1990 2008 1972 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Tumor inhibitors. LXXIV. Triptolide and tripdiolide, novel antileukemic diterpenoid triepoxides from Tripterygium wilfordii
    1972 405 citations S. Morris Kupchan, William A. Court et al. Journal of the American Chemical Society profile →

Peers

Richard G. Dailey
Ravindra Kamath India
Alessia Petronelli Italy
Ya-Ming Xu United States
Aruljothi Subramaniam United States
Yashin Sreenivasan India
Rohini Gomathinayagam United States
Leslie A. Gapter Singapore
Gabriela B. Iwanski United States
Suyu Gao China
Kaikai Shen China
Ravindra Kamath India
Richard G. Dailey
Citations per year, relative to Richard G. Dailey Richard G. Dailey (= 1×) peers Ravindra Kamath

Countries citing papers authored by Richard G. Dailey

Since Specialization
Citations

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

Fields of papers citing papers by Richard G. Dailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard G. Dailey

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

All Works

7 of 7 papers shown
1.
Jarvis, Bruce B., Herman L. Ammon, Richard W. Miller, et al.. (1987). New Macrocyclic Trichothecenes from Baccharis megapotamica. Journal of Natural Products. 50(5). 815–828. 14 indexed citations
2.
Kupchan, S. Morris, et al.. (1978). ChemInform Abstract: TUMOR INHIBITORS. 125. ISOLATION OF POTENT NEW ANTILEUKEMIC TRICHOTHECENES FROM BACCHARIS MEGAPOTAMICA. Chemischer Informationsdienst. 9(23). 3 indexed citations
3.
Kupchan, S. Morris, Yasuo Komoda, Alan R. Branfman, et al.. (1977). ChemInform Abstract: TUMOR INHIBITORS. 122. THE MAYTANSINOIDS. ISOLATION, STRUCTURAL ELUCIDATION, N, AND CHEMICAL INTERRELATION OF NOVEL ANSA MACROLIDES. Chemischer Informationsdienst. 8(43). 10 indexed citations
4.
Kupchan, S. Morris, et al.. (1977). Tumor inhibitors. 125. Isolation of potent new antileukemic trichothecenes from Baccharis megapotamica. The Journal of Organic Chemistry. 42(26). 4221–4225. 47 indexed citations
5.
Kupchan, S. Morris, Alan R. Branfman, Albert T. Sneden, et al.. (1975). Tumor inhibitors. 107. Novel maytansinoids. Naturally occurring and synthetic antileukemic esters of maytansinol. Journal of the American Chemical Society. 97(18). 5294–5295. 33 indexed citations
6.
Kupchan, S. Morris, et al.. (1974). Tumor inhibitors. 96. Novel maytansinoids. Structural interrelations and requirements for antileukemic activity. Journal of the American Chemical Society. 96(11). 3706–3708. 50 indexed citations
7.
Kupchan, S. Morris, William A. Court, Richard G. Dailey, C. J. Gilmore, & R. F. Bryan. (1972). Tumor inhibitors. LXXIV. Triptolide and tripdiolide, novel antileukemic diterpenoid triepoxides from Tripterygium wilfordii. Journal of the American Chemical Society. 94(20). 7194–7195. 405 indexed citations breakdown →

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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2026