Daniel L. Cheney

2.4k citations
62 papers · 1.8k · h-index 24

Impact in

Papers in

    • Protein Structure and Dynamics 9
    • Chemical Synthesis and Analysis 8
    • Blood Coagulation and Thrombosis Mechanisms 18
    • Hemophilia Treatment and Research 10

Daniel L. Cheney

60 papers receiving 1.7k citations

Peers

Daniel L. Cheney
Comparison fields: 5 of 108
  • Computational Theory and Mathematics 541
  • Organic Chemistry 592
  • Hematology 188
  • Physical and Theoretical Chemistry 115
  • Molecular Biology 795
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Citations per year

Countries citing papers authored by Daniel L. Cheney

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Cheney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999306
2 2014139
3 2010108
4 201782
5 198465
6 202055
7 200850
8 200246
9 201643
10 200338
11 199836
12 200234
13 201733
14 200332
15 202031
16 201830
17 200730
18 202030
19 200830
20 202129

About Daniel L. Cheney

Daniel L. Cheney is a scholar working on Molecular Biology, Hematology, Computational Theory and Mathematics, Genetics and Organic Chemistry, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (18 papers), Computational Drug Discovery Methods (15 papers), Hemophilia Treatment and Research (10 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (10 papers), Protein Structure and Dynamics (9 papers), Chemical Synthesis and Analysis (8 papers), Machine Learning in Materials Science (8 papers) and Crystallography and molecular interactions (7 papers). The work is most often cited by research in Computational Theory and Mathematics (541 citations), Organic Chemistry (592 citations), Hematology (188 citations), Physical and Theoretical Chemistry (115 citations) and Molecular Biology (795 citations). Daniel L. Cheney has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Jonathan Mason, C. David Sherrill, Richard Labaudinière, Christopher Hulme, Paul R. Menard, Isabelle Morize, Ruth R. Wexler, Steven A. Spronk, Robert M. Knabb and Andrew J. Tebben. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Journal of Chemical Physics, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters and Journal of Chemical Information and Modeling.

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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