D.A. Kuntz

2.1k citations
46 papers · 1.5k · h-index 25

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 18
    • Biochemical and Molecular Research 9
    • Ubiquitin and proteasome pathways 2
    • Carbohydrate Chemistry and Synthesis 25

D.A. Kuntz

46 papers receiving 1.5k citations

Peers

D.A. Kuntz
Comparison fields: 5 of 98
  • Biotechnology 254
  • Organic Chemistry 682
  • Molecular Biology 944
  • Physiology 47
  • Toxicology 27
Replace Francis X. Wilson with:
Francis X. Wilson United Kingdom
Céline Tarnus France
Shinya Hanashima Japan
Douglas R. Houston United Kingdom
Watson J. Lees United States
Kenichi Akaji Japan
Jeremy P. Carver Canada
Giuseppina Andreotti Italy
Yinyan Tang United States
D.A. Kuntz relative to Francis X. Wilson United Kingdom Francis X. Wilson's profile →
Citations per field
00.5×2.6×
Francis X. Wilson · 1×
Citations per year

Countries citing papers authored by D.A. Kuntz

Since Specialization
Citations

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

Fields of papers citing papers by D.A. Kuntz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020117
2 200384
3 200883
4 199975
5 200672
6 199169
7 199168
8 200456
9 200655
10 199354
11 200553
12 200851
13 200849
14 200748
15 200343
16 199143
17 199940
18 201039
19 201038
20 200838

About D.A. Kuntz

D.A. Kuntz is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Biotechnology and Epidemiology, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (25 papers), Glycosylation and Glycoproteins Research (18 papers), Lysosomal Storage Disorders Research (13 papers), Enzyme Production and Characterization (12 papers), Biochemical and Molecular Research (9 papers), Trypanosoma species research and implications (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Biotechnology (254 citations), Organic Chemistry (682 citations), Molecular Biology (944 citations), Physiology (47 citations) and Toxicology (27 citations). D.A. Kuntz has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include David R. Rose, Fred R. Opperdoes, Mia Callens, Bernardine M. Pinto, Stephen G. Withers, Geert‐Jan Boons, B. Mario Pinto, Shin Numao, Blair D. Johnston and Ahmad Ghavami. Their work appears in journals such as Molecular and Biochemical Parasitology, Proceedings of the National Academy of Sciences, ChemBioChem, Biochemistry and Bioorganic & Medicinal Chemistry.

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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