Steve W. Lockless

4.3k citations
26 papers · 3.3k · 2 hit papers · h-index 20

Impact in

Papers in

Steve W. Lockless

26 papers receiving 3.3k citations

Steve W. Lockless's Hit Papers

Evolutionarily conserved networks of residues mediate allosteric communication in proteins 2002 · 684 citations
6840+9+18Years since publication2505007501000

Peers

Steve W. Lockless
Comparison fields: 5 of 121
  • Molecular Biology 2.7k
  • Cellular and Molecular Neuroscience 301
  • Computational Theory and Mathematics 229
  • Genetics 337
  • Spectroscopy 176
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Xiao Zhu United States
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Citations per year

Countries citing papers authored by Steve W. Lockless

Since Specialization
Citations

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

Fields of papers citing papers by Steve W. Lockless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve W. Lockless. 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 Steve W. Lockless. The network helps show where Steve W. Lockless may publish in the future.

Co-authors

The 25 scholars most cited alongside Steve W. Lockless, 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 Steve W. Lockless Line = papers co-authored together Steve W. Lockless 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
Evolutionarily Conserved Pathways of Energetic Connectivity in Protein Families
Hit paper breakdown →
19991063
2
Evolutionarily conserved networks of residues mediate allosteric communication in proteins
Hit paper breakdown →
2002684
3 2005345
4 2005325
5 2007193
6 2003111
7 201494
8 200994
9 201560
10 199846
11 202041
12 201533
13 201733
14 202031
15 201331
16 201827
17 202225
18 202024
19 201222
20 201520

About Steve W. Lockless

Steve W. Lockless is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Electrochemistry and Infectious Diseases, having authored 26 papers that have together received 3.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (7 papers), Lipid Membrane Structure and Behavior (7 papers), RNA and protein synthesis mechanisms (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Protein Structure and Dynamics (4 papers), Electrochemical Analysis and Applications (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Cellular and Molecular Neuroscience (301 citations), Computational Theory and Mathematics (229 citations), Genetics (337 citations) and Spectroscopy (176 citations). Steve W. Lockless has collaborated with scholars based in United States and Italy. Frequent co-authors include Rama Ranganathan, Gürol M. Süel, Mark A. Wall, Angus C. Nairn, Paola Vergani, David C. Gadsby, Ming Zhou, Roderick MacKinnon, William P. Russ and Kevin H. Gardner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, The Journal of General Physiology, Antimicrobial Agents and Chemotherapy and Nature.

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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