Lisa M. Wright

2.6k citations
29 papers · 1.1k · h-index 16

Impact in

Papers in

Lisa M. Wright

28 papers receiving 983 citations

Peers

Lisa M. Wright
Comparison fields: 5 of 102
  • Computational Theory and Mathematics 304
  • Molecular Biology 733
  • Physical and Theoretical Chemistry 97
  • Toxicology 26
  • Organic Chemistry 176
Replace Pamela D. Lane with:
Pamela D. Lane United States
Tomas Lundqvist Sweden
Huijong Han Germany
James J. Truglio United States
Anna Messere Italy
Daniel L. Milligan United States
Thomas R. Transue United States
Alexander Rurainski Germany
Leigh Willard Canada
Brent M. Dorr United States
Lisa M. Wright relative to Pamela D. Lane United States Pamela D. Lane's profile →
Citations per field
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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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004223
2 2005190
3 200672
4 200570
5 200466
6 200564
7 200356
8 199936
9 200232
10 195630
11 199929
12 195825
13 201124
14 200021
15 195718
16 199916
17 195715
18 201714
19 199611
20 199410

About Lisa M. Wright

Lisa M. Wright is a scholar working on Computational Theory and Mathematics, Molecular Medicine, Molecular Biology, Physical and Theoretical Chemistry and Organic Chemistry, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Heat shock proteins research (8 papers), Computational Drug Discovery Methods (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Toxin Mechanisms and Immunotoxins (4 papers), thermodynamics and calorimetric analyses (3 papers), Protein Structure and Dynamics (3 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (304 citations), Molecular Biology (733 citations), Physical and Theoretical Chemistry (97 citations), Toxicology (26 citations) and Organic Chemistry (176 citations). Lisa M. Wright has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Allan E. Surgenor, Xavier Barril, 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, Soil Science, Biochemical Journal, Nature and Molecular Cancer Therapeutics.

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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