Lisa M. Wright

2.6k citations
34 papers · 2.2k · h-index 19

Impact in

Papers in

Lisa M. Wright

33 papers receiving 2.1k citations

Peers

Lisa M. Wright
Comparison fields: 5 of 114
  • Computational Theory and Mathematics 639
  • Physical and Theoretical Chemistry 231
  • Molecular Biology 1.7k
  • Toxicology 57
  • Immunology 246
Replace Ronald M. A. Knegtel with:
Ronald M. A. Knegtel Netherlands
Rao Sethumadhavan India
Kazutaka Murayama Japan
Timothy E. Benson United States
Lisa Yan United States
Michael Betz Germany
Rutger H. A. Folmer Sweden
Angelo Spinello Italy
Xavier Morelli France
Valérie Lamour France
Lisa M. Wright relative to Ronald M. A. Knegtel Netherlands Ronald M. A. Knegtel's profile →
Citations per field
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Ronald M. A. Knegtel · 1×
Citations per year

Countries citing papers authored by Lisa M. Wright

Since Specialization
Citations

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

Fields of papers citing papers by Lisa M. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008415
2 2007394
3 2004230
4 2005199
5 2009150
6 2007125
7 200673
8 200572
9 200568
10 200466
11 200357
12 201240
13 199936
14 200232
15 195630
16 199929
17 195825
18 201125
19 200021
20 195718

About Lisa M. Wright

Lisa M. Wright is a scholar working on Computational Theory and Mathematics, Molecular Biology, Molecular Medicine, Organic Chemistry and Physical and Theoretical Chemistry, having authored 34 papers that have together received 2.2k indexed citations. Recurring topics across this work include Heat shock proteins research (13 papers), Computational Drug Discovery Methods (10 papers), Glycosylation and Glycoproteins Research (9 papers), Protein Structure and Dynamics (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Toxin Mechanisms and Immunotoxins (4 papers), thermodynamics and calorimetric analyses (3 papers) and Coenzyme Q10 studies and effects (2 papers). The work is most often cited by research in Computational Theory and Mathematics (639 citations), Physical and Theoretical Chemistry (231 citations), Molecular Biology (1.7k citations), Toxicology (57 citations) and Immunology (246 citations). Lisa M. Wright has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Xavier Barril, Allan E. Surgenor, Roderick E. Hubbard, Andrew J. Massey, Brian William Dymock, Paul Workman, Paul A. Brough, Darrel L. Lynch, Adam J. Collier and Stephen D. Roughley. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Molecular Cancer Therapeutics, Soil Science and Biochemical Journal.

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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