Daniel S. Kemp

917 citations
34 papers · 737 · h-index 18

Impact in

Papers in

    • Chemical Synthesis and Analysis 16
    • Protein Structure and Dynamics 9
    • Glycosylation and Glycoproteins Research 6
    • DNA and Nucleic Acid Chemistry 4
    • Carbohydrate Chemistry and Synthesis 7
    • Chemical Synthesis and Reactions 4

Daniel S. Kemp

34 papers receiving 710 citations

Peers

Daniel S. Kemp
Comparison fields: 5 of 66
  • Organic Chemistry 298
  • Spectroscopy 148
  • Molecular Biology 540
  • Physical and Theoretical Chemistry 48
  • Pharmaceutical Science 32
Replace Mitsuaki Narita with:
Mitsuaki Narita Japan
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A. M. Piazzesi Italy
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G. M. Bonora Italy
T. M. Balasubramanian United States
Gregory P. Dado United States
M. T. LEPLAWY Poland
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Citations per field
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Mitsuaki Narita · 1×
Citations per year

Countries citing papers authored by Daniel S. Kemp

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Kemp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200382
2 200252
3 200249
4 197048
5 199946
6 200144
7 197034
8 200534
9 200632
10 198832
11 200926
12 197024
13 198922
14 197021
15 200518
16 200417
17 200117
18 197117
19 200016
20 197014

About Daniel S. Kemp

Daniel S. Kemp is a scholar working on Molecular Biology, Organic Chemistry, Spectroscopy, Materials Chemistry and Biomedical Engineering, having authored 34 papers that have together received 737 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (16 papers), Protein Structure and Dynamics (9 papers), Carbohydrate Chemistry and Synthesis (7 papers), Glycosylation and Glycoproteins Research (6 papers), Molecular spectroscopy and chirality (5 papers), Chemical Synthesis and Reactions (4 papers), DNA and Nucleic Acid Chemistry (4 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Organic Chemistry (298 citations), Spectroscopy (148 citations), Molecular Biology (540 citations), Physical and Theoretical Chemistry (48 citations) and Pharmaceutical Science (32 citations). Daniel S. Kemp has collaborated with scholars based in United States. Frequent co-authors include Robert J. Kennedy, Justin S. Miller, Peter Wallimann, Kenneth G. Paul, Sharon M. Walker, Julius Rebek, William Shalongo, Wolfgang Maison, Timothy P. Curran and Gabriel E. Job. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Organic Chemistry, Tetrahedron Letters, Angewandte Chemie International Edition and Biopolymers.

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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