Paula R. Kuser

1.5k citations
23 papers · 662 indexed · h-index 14
Topics
Enzyme Structure and Function (9 papers)Protein Structure and Dynamics (6 papers)Amino Acid Enzymes and Metabolism (3 papers)

In The Last Decade

Paula R. Kuser

23 papers receiving 652 citations

Peers

Paula R. Kuser
Comparison fields: 5 of 94
  • Molecular Biology 381
  • Genetics 169
  • Plant Science 104
  • Infectious Diseases 90
  • Materials Chemistry 79
Replace Niels Tolstrup with:
Niels Tolstrup Denmark
Alex G. Johnson United States
Melanie Ulrich United States
Anders Alderborn Sweden
Alicia Rodríguez‐Huete Spain
Quentin Giai Gianetto France
Akash Ranjan India
Peter Stanley United Kingdom
Xiaoqiu Huang United States
Marek Tchórzewski Poland
Paula R. Kuser relative to Niels Tolstrup Denmark Niels Tolstrup's profile →
Citations per field
00.5×3.2×
Niels Tolstrup · 1×
Citations per year

Countries citing papers authored by Paula R. Kuser

Since Specialization
Citations

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

Fields of papers citing papers by Paula R. Kuser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula R. Kuser. 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 Paula R. Kuser. The network helps show where Paula R. Kuser may publish in the future.

Co-authorship network of co-authors of Paula R. Kuser

This figure shows the co-authorship network connecting the top 25 collaborators of Paula R. Kuser. A scholar is included among the top collaborators of Paula R. Kuser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paula R. Kuser. Paula R. Kuser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 60
2 31
3 30
4 22
5 18
6
Sting_RDB: a relational database of structural parameters for protein analysis with support for data warehousing and data mining.
6
7 35
8 18
9 7
10 32
11 3
12 29
13 182
14 11
15 26
16 101
17 2
18 1
19 1
20 24

About Paula R. Kuser

Paula R. Kuser is a scholar working on Biochemistry, Parasitology and Molecular Biology, having authored 23 papers that have together received 662 indexed citations. Recurring topics across this work include Enzyme Structure and Function (9 papers), Protein Structure and Dynamics (6 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Parasitology (50 citations), Genetics (169 citations) and Molecular Biology (381 citations). Paula R. Kuser has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include Roger M. Burnett, John J. Rux, Igor Polikarpov, O. A. C. Antunes, Goran Neshich, Roberto Coiti Togawa, R. H. Higa, M. E. B. Yamagishi, Sabrina Moutinho Chabregas and Ricardo Antunes Azevedo. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

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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