Diana C. Roe

1.2k citations
18 papers · 767 indexed · h-index 12
Topics
Computational Drug Discovery Methods (4 papers)Microbial Natural Products and Biosynthesis (3 papers)Biochemical and Structural Characterization (3 papers)
Partner nations
United States

In The Last Decade

Diana C. Roe

17 papers receiving 730 citations

Peers

Diana C. Roe
Comparison fields: 5 of 85
  • Molecular Biology 556
  • Computational Theory and Mathematics 262
  • Organic Chemistry 107
  • Computer Networks and Communications 67
  • Materials Chemistry 52
Replace Zengjian Hu with:
Zengjian Hu Canada
Tommi Nyrönen Finland
J. Tong Singapore
Otto Ritter Germany
Chris Williams United States
Ignasi Buch Spain
Alexandra Shulman‐Peleg Israel
Jeremy L. Muhlich United States
Kate A. Stafford United States
N. O. Manning United States
Diana C. Roe relative to Zengjian Hu Canada Zengjian Hu's profile →
Citations per field
00.5×1.5×
Zengjian Hu · 1×
Citations per year

Countries citing papers authored by Diana C. Roe

Since Specialization
Citations

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

Fields of papers citing papers by Diana C. Roe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana C. Roe. 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 Diana C. Roe. The network helps show where Diana C. Roe may publish in the future.

Co-authorship network of co-authors of Diana C. Roe

This figure shows the co-authorship network connecting the top 25 collaborators of Diana C. Roe. A scholar is included among the top collaborators of Diana C. Roe 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 Diana C. Roe. Diana C. Roe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 3
2 9
3 2
4 4
5 9
6 34
7 38
8 31
9 298
10 27
11 13
12 25
13 30
14 105
15 48
16 25
17 66
18 0

About Diana C. Roe

Diana C. Roe is a scholar working on Software, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 18 papers that have together received 767 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Computational Theory and Mathematics (262 citations), Molecular Biology (556 citations) and Computational Mathematics (3 citations). Diana C. Roe has collaborated with scholars based in United States. Frequent co-authors include Jean‐Loup Faulon, Shawn Martin, Irwin D. Kuntz, David Thompson, Todd Ewing, Philippe Pébaÿ, Yaxiong Sun, Jonathan A. Ellman, Ellen K. Kick and Guangcheng Liu. Their work appears in journals such as Bioinformatics, Journal of Medicinal Chemistry and Inorganic 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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