L. Wong

1.6k citations
32 papers · 1.3k · h-index 19

Impact in

Papers in

    • RNA Research and Splicing 6
    • Genomics and Chromatin Dynamics 5
    • Mitochondrial Function and Pathology 4
    • Cancer-related gene regulation 3
    • ATP Synthase and ATPases Research 3
    • Alzheimer's disease research and treatments 6

L. Wong

32 papers receiving 1.3k citations

Peers

L. Wong
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 375
  • Clinical Biochemistry 131
  • Molecular Biology 838
  • Physiology 227
  • Neurology 68
Replace Mario Alberghina with:
Mario Alberghina Italy
Tünde Golenár United States
Ludivine Walter France
Annette C. Smith United States
Erika Davies United States
Malena B. Rone Canada
Andrea Bernacchia Italy
Cleanthe Spanaki Greece
Salah Abu‐Hamad Israel
Jürgen‐Christoph von Kleist-Retzow Germany
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Citations per field
00.5×1.7×
Mario Alberghina · 1×
Citations per year

Countries citing papers authored by L. Wong

Since Specialization
Citations

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

Fields of papers citing papers by L. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Wong. 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 L. Wong. The network helps show where L. Wong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995275
2 2011127
3 1992104
4 198878
5 198773
6 198671
7 198061
8 199854
9 199245
10 199443
11 200542
12 200941
13 201341
14 199738
15 201637
16 199336
17 199227
18 199027
19 201025
20 198316

About L. Wong

L. Wong is a scholar working on Molecular Biology, Physiology, Nutrition and Dietetics, Clinical Biochemistry and Genetics, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), RNA Research and Splicing (6 papers), Genomics and Chromatin Dynamics (5 papers), Metabolism and Genetic Disorders (4 papers), Trace Elements in Health (4 papers), Mitochondrial Function and Pathology (4 papers), Cancer-related gene regulation (3 papers) and ATP Synthase and ATPases Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (375 citations), Clinical Biochemistry (131 citations), Molecular Biology (838 citations), Physiology (227 citations) and Neurology (68 citations). L. Wong has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include D. R. Crapper McLachlan, C. Thomas Caskey, Tetsuo Ashizawa, Darren G. Monckton, Walter J. Lukiw, C. Bergeron, Patricia Handley, Esther J. Belikoff, Bruce Alberts and Peter N. Lewis. Their work appears in journals such as Alzheimer Disease & Associated Disorders, Neurobiology of Aging, Journal of Biological Chemistry, European Journal of Pediatrics and Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

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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