Leland E. Lim

1.9k citations
13 papers · 1.6k · h-index 9

Impact in

Papers in

Leland E. Lim

13 papers receiving 1.5k citations

Peers

Leland E. Lim
Comparison fields: 5 of 66
  • Cellular and Molecular Neuroscience 486
  • Molecular Biology 1.4k
  • Cell Biology 314
  • Rehabilitation 117
  • Cardiology and Cardiovascular Medicine 345
Replace L. V. B. Nicholson with:
L. V. B. Nicholson United Kingdom
Elizabeth E. Zubrzycka‐Gaarn Canada
Michael Lindenbaum Canada
Gary R. Coulton United Kingdom
Louis M. Kunkel United States
Carinne Roudaut France
Terri G. Thompson United States
Vinod Malik United States
Ellen van Beusekom Netherlands
Leslie Houghton United States
Leland E. Lim relative to L. V. B. Nicholson United Kingdom L. V. B. Nicholson's profile →
Citations per field
00.5×1.5×
L. V. B. Nicholson · 1×
Citations per year

Countries citing papers authored by Leland E. Lim

Since Specialization
Citations

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

Fields of papers citing papers by Leland E. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leland E. Lim. 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 Leland E. Lim. The network helps show where Leland E. Lim may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1995398
2 1994397
3 1998313
4 1999162
5 1998116
6 1998112
7 199846
8 201314
9 200814
10 20152
11 19962
12 20161
13 20071

About Leland E. Lim

Leland E. Lim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Genetics, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), Genetic Neurodegenerative Diseases (7 papers), Virus-based gene therapy research (3 papers), Muscle metabolism and nutrition (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Silk-based biomaterials and applications (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (486 citations), Molecular Biology (1.4k citations), Cell Biology (314 citations), Rehabilitation (117 citations) and Cardiology and Cardiovascular Medicine (345 citations). Leland E. Lim has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Kevin P. Campbell, Franck Duclos, Valérie Allamand, Beverly L. Davidson, Richard D. Anderson, Volker Straub, Kathleen H. Holt, J. Beckmann, David Venzke and Fédérica Piccolo. Their work appears in journals such as Neuromuscular Disorders, Journal of Virology, Current Opinion in Neurology, The Journal of Cell Biology and Neurobiology of Disease.

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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