Scott D. Buckel

11 papers receiving 1.3k citations

Hit Papers

A family of related ATP-binding subunits coupled to many distinct biological processes in bacteria 1986 · 639 citations
6391986202619992012200400600

Peers

Scott D. Buckel
Comparison fields: 5 of 103
  • Molecular Medicine 95
  • Biochemistry 92
  • Molecular Biology 779
  • Plant Science 414
  • Genetics 293
Replace Tohru Komano with:
Tohru Komano Japan
Hye‐Jin Yoon South Korea
Kenneth Duncan United Kingdom
Changsoo Chang United States
Donna L. Daniels United States
Paul L. Skatrud United States
G. Cohen Israel
Milton H. Saier United States
Milton H. Saier United States
Brian P. Nichols United States
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Citations per field
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Citations per year

Countries citing papers authored by Scott D. Buckel

Since Specialization
Citations

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

Fields of papers citing papers by Scott D. Buckel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200457
2
ABRF-ESRG'03: analysis of a PVDF-bound known protein with a homogeneous amino-terminus.
20033
3
ABRF-2002ESRG, a difficult sequence: Analysis of a PVDF-bound known protein with a heterogeneous amino-terminus.
20025
4 19964
5 1995107
6 199541
7 19893
8 1987368
9 198637
10 1986113
11
A family of related ATP-binding subunits coupled to many distinct biological processes in bacteria
Hit paper breakdown →
1986639

About Scott D. Buckel

Scott D. Buckel is a scholar working on Endocrinology, Microbiology, Molecular Biology, Surfaces, Coatings and Films and Spectroscopy, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Bacterial Genetics and Biotechnology (2 papers), Escherichia coli research studies (2 papers), Enzyme Structure and Function (2 papers), Blood properties and coagulation (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Molecular Medicine (95 citations), Biochemistry (92 citations), Molecular Biology (779 citations), Plant Science (414 citations) and Genetics (293 citations). Scott D. Buckel has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Mark A. Hermodson, Lindsay Gray, J. Allan Downie, Alexander W. Bell, Christopher F. Higgins, Deborah R. Gill, Ian D. Hiles, George P. C. Salmond, I. Barry Holland and Ian J. Evans. Their work appears in journals such as Journal of Biological Chemistry, Journal of Pharmaceutical Sciences, Journal of Bacteriology, PLANT PHYSIOLOGY and Journal of Molecular Biology.

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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