Daniel S. Lark

1.2k citations
33 papers · 933 · h-index 16

Impact in

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

30 papers receiving 926 citations

Peers

Daniel S. Lark
Comparison fields: 5 of 89
  • Physiology 358
  • Rehabilitation 57
  • Clinical Biochemistry 55
  • Biochemistry 58
  • Molecular Biology 527
Replace Juliane C. Campos with:
Juliane C. Campos Brazil
Paula M. Miotto Canada
David J. Chess United States
Bruno B. Queliconi United States
Siobhan M. Craige United States
Tanes Lima Brazil
Sharon Judge United States
Takaaki Furihata Japan
Laia Salvadó Spain
Ming-Hui Zou United States
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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 2011148
2 201399
3 201598
4 201470
5 201267
6 201664
7 202149
8 201449
9 201647
10 201232
11 201630
12 202322
13 201522
14 201821
15 201521
16 202117
17 202113
18 201712
19 201812
20 201911

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 933 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), Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (4 papers), ATP Synthase and ATPases Research (3 papers), Muscle Physiology and Disorders (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Physiology (358 citations), Rehabilitation (57 citations), Clinical Biochemistry (55 citations), Biochemistry (58 citations) and Molecular Biology (527 citations). Daniel S. Lark has collaborated with scholars based in United States, Canada and United Kingdom. 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, Maria J. Torres and Daniel A. Kane. Their work appears in journals such as The FASEB Journal, American Journal of Physiology-Endocrinology and Metabolism, eLife, Diabetes and Biochemical Journal.

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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