Guy M. Lenk

3.6k citations
39 papers · 1.8k · h-index 24

Impact in

  • Physiology top 0.5%
    • Calcium signaling and nucleotide metabolism
    • Lysosomal Storage Disorders Research
    • Cellular transport and secretion

Papers in

    • Cellular transport and secretion 16
    • Calcium signaling and nucleotide metabolism 12
    • Lysosomal Storage Disorders Research 3

Guy M. Lenk

38 papers receiving 1.8k citations

Peers

Guy M. Lenk
Comparison fields: 5 of 81
  • Physiology 347
  • Cell Biology 598
  • Cellular and Molecular Neuroscience 350
  • Neurology 222
  • Neurology 112
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Citations per year

Countries citing papers authored by Guy M. Lenk

Since Specialization
Citations

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

Fields of papers citing papers by Guy M. Lenk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012177
2 2009165
3 2007149
4 2013129
5 2013118
6 2020108
7 2011101
8 2018100
9 201188
10 201474
11 201349
12 201248
13
Basic research studies to understand aneurysm disease.
200842
14 201641
15 201139
16 201439
17 200730
18 201130
19 202129
20 201329

About Guy M. Lenk

Guy M. Lenk is a scholar working on Cell Biology, Physiology, Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (16 papers), Calcium signaling and nucleotide metabolism (12 papers), Autophagy in Disease and Therapy (9 papers), Hereditary Neurological Disorders (8 papers), Aortic aneurysm repair treatments (6 papers), Signaling Pathways in Disease (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Lysosomal Storage Disorders Research (3 papers). The work is most often cited by research in Physiology (347 citations), Cell Biology (598 citations), Cellular and Molecular Neuroscience (350 citations), Neurology (222 citations) and Neurology (112 citations). Guy M. Lenk has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Miriam H. Meisler, Cole Ferguson, Helena Kuivaniemi, Gerard Tromp, Roman J. Giger, Zoran Gatalica, Julie Miller Jones, Shantel Weinsheimer, Ramón Berguer and Lois S. Weisman. Their work appears in journals such as Human Molecular Genetics, The American Journal of Human Genetics, Journal of Cell Science, Annals of the New York Academy of Sciences and PLoS Genetics.

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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