C. DeWeese-Scott

5.1k citations
5 papers · 4.4k · 3 hit papers · h-index 5

Impact in

Papers in

    • Genomics and Phylogenetic Studies 3
    • Protein Structure and Dynamics 2
    • vaccines and immunoinformatics approaches 1
    • Myasthenia Gravis and Thymoma 1

C. DeWeese-Scott

5 papers receiving 4.3k citations

C. DeWeese-Scott's Hit Papers

CDD: a Conserved Domain Database for the functional annotation of proteins 2010 · 2.7k citations
2.7k0+6+13Years since publication5001k1.5k2k2.5k

Peers

C. DeWeese-Scott
Comparison fields: 5 of 103
  • Endocrinology 121
  • Molecular Biology 1.8k
  • Plant Science 1.1k
  • Biotechnology 162
  • Genetics 541
Replace Michael Mullokandov with:
Michael Mullokandov Israel
Zhouxi Wang United States
Shuo Lu China
Arun Prasad Pandurangan United Kingdom
Joon Lee South Korea
Sara El-Gebali Switzerland
Matthias Blum United Kingdom
Nandana Madhusoodanan United Kingdom
Kirstie Hetherington United Kingdom
Fu Lu United States
C. DeWeese-Scott relative to Michael Mullokandov Israel Michael Mullokandov's profile →
Citations per field
00.5×1.5×
Michael Mullokandov · 1×
Citations per year

Countries citing papers authored by C. DeWeese-Scott

Since Specialization
Citations

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

Fields of papers citing papers by C. DeWeese-Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. DeWeese-Scott. 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 C. DeWeese-Scott. The network helps show where C. DeWeese-Scott may publish in the future.

Co-authors

The 5 scholars most cited alongside C. DeWeese-Scott, 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 C. DeWeese-Scott Line = papers co-authored together C. DeWeese-Scott links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
CDD: a Conserved Domain Database for the functional annotation of proteins
Hit paper breakdown →
20102654
2
CDD: specific functional annotation with the Conserved Domain Database
Hit paper breakdown →
2008925
3
CDD: a conserved domain database for interactive domain family analysis
Hit paper breakdown →
2006730
4 200439
5 199812

About C. DeWeese-Scott

C. DeWeese-Scott is a scholar working on Molecular Biology, Neurology, Materials Chemistry, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 5 papers that have together received 4.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Protein Structure and Dynamics (2 papers), Enzyme Structure and Function (1 paper), Myasthenia Gravis and Thymoma (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Endocrinology (121 citations), Molecular Biology (1.8k citations), Plant Science (1.1k citations), Biotechnology (162 citations) and Genetics (541 citations). C. DeWeese-Scott has collaborated with scholars based in United States and Sweden. Frequent co-authors include John Moult, Peter Hjelmström, Julie E. Penzotti, Terry P. Lybrand and Carani B. Sanjeevi. Their work appears in journals such as Nucleic Acids Research, Proteins Structure Function and Bioinformatics and Journal of Neuroimmunology.

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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