Daniel S. Lark

1.2k citations
33 papers · 909 · h-index 15

Impact in

  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Exercise and Physiological Responses

Papers in

    • Mitochondrial Function and Pathology 11
    • Extracellular vesicles in disease 4
    • ATP Synthase and ATPases Research 3
    • Muscle Physiology and Disorders 3
    • Adipose Tissue and Metabolism 13

Daniel S. Lark

29 papers receiving 902 citations

Peers

Daniel S. Lark
Comparison fields: 5 of 91
  • Physiology 402
  • Rehabilitation 68
  • Molecular Biology 568
  • Clinical Biochemistry 56
  • Complementary and alternative medicine 67
Replace Paula M. Miotto with:
Paula M. Miotto Canada
Juliane C. Campos Brazil
Jill M. Schimke United States
A. Brianne Thrush Canada
Luiz Roberto Grassmann Bechara Brazil
Siobhan M. Craige United States
Tom Ashmore United Kingdom
Bruno B. Queliconi Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Daniel S. Lark

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Lark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Lark. 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 Daniel S. Lark. The network helps show where Daniel S. Lark may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011147
2 201398
3 201597
4 201469
5 201267
6 201663
7 201448
8 201646
9 202146
10 201232
11 201630
12 201522
13 201821
14 201521
15 202320
16 202114
17 202112
18 201712
19 201811
20 201910

About Daniel S. Lark

Daniel S. Lark is a scholar working on Molecular Biology, Physiology, Cell Biology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 909 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Mitochondrial Function and Pathology (11 papers), Muscle metabolism and nutrition (5 papers), MicroRNA in disease regulation (4 papers), Extracellular vesicles in disease (4 papers), ATP Synthase and ATPases Research (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Physiology (402 citations), Rehabilitation (68 citations), Molecular Biology (568 citations), Clinical Biochemistry (56 citations) and Complementary and alternative medicine (67 citations). Daniel S. Lark has collaborated with scholars based in United States, Canada and Czechia. Frequent co-authors include P. Darrell Neufer, Chien‐Te Lin, Brook L. Cathey, Kelsey H. Fisher‐Wellman, Laura Gilliam, Ethan J. Anderson, Terence E. Ryan, Christopher G. R. Perry, Daniel A. Kane and Lauren Reese. Their work appears in journals such as The FASEB Journal, Diabetes, Biochemical Journal, American Journal of Physiology-Endocrinology and Metabolism and eLife.

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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