Janet M. Thornton

116.3k citations
488 papers · 92.5k indexed · 27 hit papers · h-index 117
Topics
Protein Structure and Dynamics (256 papers)Enzyme Structure and Function (177 papers)RNA and protein synthesis mechanisms (116 papers)

In The Last Decade

Janet M. Thornton

483 papers receiving 90.7k citations

Hit Papers

PROCHECK: a program to check the stereochemical quality o...1981202619962011199319921996199519965.0k10.0k15.0k20.0k

Peers

Janet M. Thornton
Comparison fields: 5 of 217
  • Molecular Biology 70.9k
  • Materials Chemistry 20.5k
  • Computational Theory and Mathematics 7.1k
  • Genetics 7.1k
  • Plant Science 5.7k
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Citations per field
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Citations per year

Countries citing papers authored by Janet M. Thornton

Since Specialization
Citations

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

Fields of papers citing papers by Janet M. Thornton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet M. Thornton. 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 Janet M. Thornton. The network helps show where Janet M. Thornton may publish in the future.

Co-authorship network of co-authors of Janet M. Thornton

This figure shows the co-authorship network connecting the top 25 collaborators of Janet M. Thornton. A scholar is included among the top collaborators of Janet M. Thornton 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 Janet M. Thornton. Janet M. Thornton 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 1
2 1
3 2
4 7
5 44
6 41
7 28
8
PDBsum: Structural summaries of PDB entriesbreakdown →
1110
9
Nanostructured Biomimetic Memristor Sensors Used for Therapeutic Monitoring of the Brain Cancer
1
10 4
11 176
12
Morphological aspects of oligorneric protein structures
2
13 85
14 68
15
Classifying a Protein Fold in the CATH Hierarchic Database
1
16 182
17
Progress towards recognising protein folds from amino acid sequence
1
18
Recent advances in photovoltaic applications for utilities
1
19 9
20
AN INTEGRATING WINDOW PYRANOMETER FOR BEAM DAYLIGHTING MEASUREMENTS IN SCALE-MODEL BUILDINGS
2

About Janet M. Thornton

Janet M. Thornton is a scholar working on Aging, Molecular Biology and Materials Chemistry, having authored 488 papers that have together received 92.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (256 papers), Enzyme Structure and Function (177 papers) and RNA and protein synthesis mechanisms (116 papers). The work is most often cited by research in Molecular Biology (70.9k citations), Aging (1.3k citations) and Computational Theory and Mathematics (7.1k citations). Janet M. Thornton has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Roman A. Laskowski, Malcolm W. MacArthur, D. S. Moss, Susan R. Jones, William R. Taylor, Andrew C. Wallace, E. Gail Hutchinson, Christine Orengo, David J. Barlow and Robert Kaptein. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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