Timothy D. Cushing

750 citations
11 papers · 391 · h-index 9

Impact in

    • Catalytic C–H Functionalization Methods
    • Asymmetric Synthesis and Catalysis
    • Synthetic Organic Chemistry Methods
    • Chemical synthesis and alkaloids
    • Synthesis and Catalytic Reactions

Papers in

    • DNA and Nucleic Acid Chemistry 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Traditional and Medicinal Uses of Annonaceae 4

Timothy D. Cushing

11 papers receiving 377 citations

Peers

Timothy D. Cushing
Comparison fields: 5 of 59
  • Organic Chemistry 232
  • Toxicology 17
  • Pharmacology 51
  • Genetics 32
  • Pharmacology 25
Replace Matthew A. Marx with:
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Johannes Belmar United States
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J. Adam Willardsen United States
Selwyn C. Yorke New Zealand
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J.‐D. FOURNERON France
Hiroo Koyama Japan
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Citations per field
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Citations per year

Countries citing papers authored by Timothy D. Cushing

Since Specialization
Citations

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

Fields of papers citing papers by Timothy D. Cushing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy D. Cushing. 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 Timothy D. Cushing. The network helps show where Timothy D. Cushing may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1996117
2 199360
3 201259
4 201353
5 199435
6 199021
7 201518
8 200712
9 199610
10 20065
11 19941

About Timothy D. Cushing

Timothy D. Cushing is a scholar working on Molecular Biology, Biochemistry, Organic Chemistry, Genetics and Epidemiology, having authored 11 papers that have together received 391 indexed citations. Recurring topics across this work include Traditional and Medicinal Uses of Annonaceae (4 papers), Synthetic Organic Chemistry Methods (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), DNA and Nucleic Acid Chemistry (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer Treatment and Pharmacology (1 paper) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Organic Chemistry (232 citations), Toxicology (17 citations), Pharmacology (51 citations), Genetics (32 citations) and Pharmacology (25 citations). Timothy D. Cushing has collaborated with scholars based in United States. Frequent co-authors include Robert M. Williams, Juan F. Sanz‐Cervera, Lawrence R. McGee, Daniela Metz, Douglas A. Whittington, Gregory L. Verdine, Gerhard Wagner, Lawrence C. Myers, Youngsook Shin and Bohdan Waszkowycz. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of the American Chemical Society, Journal of Medicinal Chemistry, Tetrahedron Letters and ChemInform.

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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