Richard D. Smith

1.7k citations
24 papers · 1.3k indexed · h-index 15
Topics
Computational Drug Discovery Methods (15 papers)Protein Structure and Dynamics (9 papers)Microbial Natural Products and Biosynthesis (5 papers)

In The Last Decade

Richard D. Smith

23 papers receiving 1.2k citations

Peers

Richard D. Smith
Comparison fields: 5 of 90
  • Molecular Biology 1.0k
  • Computational Theory and Mathematics 952
  • Materials Chemistry 324
  • Pharmacology 132
  • Organic Chemistry 89
Replace Lora Mak with:
Lora Mak United Kingdom
Vincent Le Guilloux France
Jocelyn Sunseri United States
Shingo Makino Japan
Suzanne Brewerton United Kingdom
Eelke B. Lenselink Netherlands
Tom Oldfield United Kingdom
Minyi Su China
Wen Torng United States
Gavin Harper United Kingdom
Richard D. Smith relative to Lora Mak United Kingdom Lora Mak's profile →
Citations per field
00.5×2.7×
Lora Mak · 1×
Citations per year

Countries citing papers authored by Richard D. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Richard D. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard D. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Richard D. Smith. A scholar is included among the top collaborators of Richard D. Smith 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 Richard D. Smith. Richard D. Smith 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 10
2 4
3 1
4 54
5 62
6 60
7 24
8 13
9 82
10 43
11 76
12 111
13 4
14 138
15 2
16 51
17 244
18 1
19 2
20 2

About Richard D. Smith

Richard D. Smith is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Protein Structure and Dynamics (9 papers) and Microbial Natural Products and Biosynthesis (5 papers). The work is most often cited by research in Computational Theory and Mathematics (952 citations), Molecular Biology (1.0k citations) and Pharmacology (132 citations). Richard D. Smith has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Heather A. Carlson, James B. Dunbar, Mark L. Benson, Jeanne A. Stuckey, Michael G. Lerner, Aqeel Ahmed, Jordan Clark, Kelly L. Damm‐Ganamet, Peter M.U. Ung and Shaomeng Wang. Their work appears in journals such as Nucleic Acids Research, Journal of Molecular Biology and Scientific Reports.

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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