Ian D. Wall

2.8k citations
26 papers · 1.9k · 1 hit paper · h-index 14

Impact in

Papers in

Ian D. Wall

26 papers receiving 1.8k citations

Ian D. Wall's Hit Papers

A Critical Assessment of Docking Programs and Scoring Functions 2005 · 1.3k citations
1.3k0+7+14Years since publication4008001.2k

Peers

Ian D. Wall
Comparison fields: 5 of 113
  • Computational Theory and Mathematics 1.0k
  • Molecular Biology 1.4k
  • Pharmacology 106
  • Organic Chemistry 330
  • Pharmacology 188
Replace Gregory Sliwoski with:
Gregory Sliwoski United States
Giovanna Tedesco Italy
Erin S. D. Bolstad United States
Brian Y. Feng United States
Trent E. Balius United States
Oliver Korb United Kingdom
Jérémy Besnard United Kingdom
James M. Woolven United Kingdom
Kai Zhu United States
Edward W. Lowe United States
Ian D. Wall relative to Gregory Sliwoski United States Gregory Sliwoski's profile →
Citations per field
00.5×1.5×
Gregory Sliwoski · 1×
Citations per year

Countries citing papers authored by Ian D. Wall

Since Specialization
Citations

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

Fields of papers citing papers by Ian D. Wall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ian D. Wall, 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 Ian D. Wall Line = papers co-authored together Ian D. Wall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Critical Assessment of Docking Programs and Scoring Functions
Hit paper breakdown →
20051339
2 202095
3 199957
4 201655
5 200951
6 202133
7 202028
8 201125
9 201823
10 201323
11 200820
12 202120
13 202017
14 202117
15 202211
16 201211
17 20179
18 20157
19 20147
20 20236

About Ian D. Wall

Ian D. Wall is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Pharmacology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (10 papers), Enzyme Structure and Function (6 papers), Protein Degradation and Inhibitors (5 papers), Receptor Mechanisms and Signaling (3 papers), Multiple Myeloma Research and Treatments (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Molecular Biology (1.4k citations), Pharmacology (106 citations), Organic Chemistry (330 citations) and Pharmacology (188 citations). Ian D. Wall has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include James M. Woolven, Catherine E. Peishoff, Judith M. LaLonde, C. Webster Andrews, Giovanna Tedesco, Simon F. Semus, Brian Clarke, Millard H. Lambert, Gregory L. Warren and Mika Lindvall. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Journal of Chemical Theory and Computation, Acta Crystallographica Section D Structural Biology and Current Topics in Medicinal 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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