Karen Chapman

5.0k citations
43 papers · 4.0k indexed · 1 hit paper · h-index 26
  • Aging top 1%
  • Physiology top 1%
    • Diet and metabolism studies 4
    • Telomeres, Telomerase, and Senescence 4
    • Pluripotent Stem Cells Research 9
    • RNA and protein synthesis mechanisms 7
    • RNA modifications and cancer 5
    • CRISPR and Genetic Engineering 4
  • Genetics top 5%
    • Muscle metabolism and nutrition 6
    • Tissue Engineering and Regenerative Medicine 4

Karen Chapman

43 papers receiving 3.8k citations

Hit Papers

Telomerase Catalytic Subunit Homologs from Fission Yeast ...1.9k199720262006201650010001.5k

Peers

Karen Chapman
Comparison fields: 5 of 130
  • Aging 170
  • Physiology 1.8k
  • Biotechnology 379
  • Molecular Biology 2.6k
  • Genetics 185
Replace Bryant Villeponteau with:
Bryant Villeponteau United States
Arturo Londoño‐Vallejo France
N D Hastie United Kingdom
Jerry W. Shay United States
Lea Harrington Canada
Michel Ouellette Canada
Serge Lichtsteiner United States
Yoko Itō Japan
Junjiu Huang China
Nelson S. Yew United States
Karen Chapman relative to Bryant Villeponteau United States Bryant Villeponteau's profile →
Citations per field
00.5×1.5×1.8×
Bryant Villeponteau · 1×
Citations per year

Countries citing papers authored by Karen Chapman

Since Specialization
Citations

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

Fields of papers citing papers by Karen Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202211
2 20198
3 201671
4 201515
5 201498
6 201238
7 201122
8 200542
9 199558
10 199541
11 19943
12 199227
13 199232
14 199251
15 199145
16 1991197
17 199130
18 199118
19 199093
20 198859

About Karen Chapman

Karen Chapman is a scholar working on Developmental Neuroscience, Genetics and Molecular Biology, having authored 43 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), RNA and protein synthesis mechanisms (7 papers), Muscle metabolism and nutrition (6 papers), RNA modifications and cancer (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Diet and metabolism studies (4 papers), CRISPR and Genetic Engineering (4 papers) and Telomeres, Telomerase, and Senescence (4 papers). The work is most often cited by research in Aging (170 citations), Physiology (1.8k citations) and Biotechnology (379 citations). Karen Chapman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Thomas R. Cech, Gregg B. Morin, William H. Andrews, Toru Nakamura, Joachim Lingner, Scott L. Weinrich, Calvin B. Harley, Jef D. Boeke, Jack W. Szostak and Michael D. West. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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