Z. Dave Sharp

9.6k citations
68 papers · 7.3k indexed · 4 hit papers · h-index 27

Z. Dave Sharp

68 papers receiving 7.2k citations

Hit Papers

Rapamycin, But Not Resveratrol ...686198320261997201150010001.5k2.0k2.5k

Peers

Z. Dave Sharp
Comparison fields: 5 of 135
  • Aging 2.2k
  • Geriatrics and Gerontology 431
  • Endocrine and Autonomic Systems 708
  • Physiology 1.9k
  • Molecular Biology 4.4k
Replace Clinton M. Astle with:
Clinton M. Astle United States
Kevin Flurkey United States
Malene Hansen United States
Terry G. Unterman United States
Cole M. Haynes United States
Tadahiro Kitamura Japan
Ivana Bjedov United Kingdom
Hung‐Hai Ku Taiwan
Junko Oshima United States
Katrin F. Chua United States
Z. Dave Sharp relative to Clinton M. Astle United States Clinton M. Astle's profile →
Citations per field
00.5×1.5×
Clinton M. Astle · 1×
Citations per year

Countries citing papers authored by Z. Dave Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Z. Dave Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Z. Dave Sharp. 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 Z. Dave Sharp. The network helps show where Z. Dave Sharp may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202322
2 202023
3 20209
4 201820
5 201516
6 201598
7 201512
8 201565
9 2013430
10 201356
11 201040
12
Rapamycin, But Not Resveratrol or Simvastatin, Extends Life Span of Genetically Heterogeneous Micebreakdown →
2010686
13 201026
14 20105
15 2008110
16 199917
17 1999167
18 199617
19 198916
20 198552

About Z. Dave Sharp

Z. Dave Sharp is a scholar working on Aging, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 68 papers that have together received 7.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Genomics and Chromatin Dynamics (13 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), CRISPR and Genetic Engineering (10 papers), RNA Research and Splicing (10 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Circadian rhythm and melatonin (7 papers) and Estrogen and related hormone effects (7 papers). The work is most often cited by research in Aging (2.2k citations), Geriatrics and Gerontology (431 citations) and Endocrine and Autonomic Systems (708 citations). Z. Dave Sharp has collaborated with scholars based in United States, Canada and Czechia. Frequent co-authors include Randy Strong, Martin A. Javors, James F. Nelson, Nancy L. Nadon, Richard A. Miller, Elizabeth Fernández, Kevin Flurkey, Clinton M. Astle, John E. Wilkinson and Phang‐Lang Chen. Their work appears in journals such as Molecular and Cellular Biology, The Journals of Gerontology Series A, Journal of Biological Chemistry, Journal of Cellular Biochemistry and Aging Cell.

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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