Clair Crewe

3.0k citations
28 papers · 1.7k indexed · 2 hit papers · h-index 17

Impact in

Papers in

    • Extracellular vesicles in disease 10
    • Mitochondrial Function and Pathology 5
    • Adipose Tissue and Metabolism 11

Clair Crewe

28 papers receiving 1.7k citations

Hit Papers

Extracellular vesicle-based interorgan transport of mitochondria from energetically stressed adipocytes 2021 · 277 citations
2772017202620202023100200300400500

Peers

Clair Crewe
Comparison fields: 5 of 86
  • Physiology 688
  • Cancer Research 351
  • Cardiology and Cardiovascular Medicine 391
  • Epidemiology 582
  • Molecular Biology 865
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Citations per field
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Citations per year

Countries citing papers authored by Clair Crewe

Since Specialization
Citations

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

Fields of papers citing papers by Clair Crewe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The ominous triad of adipose tissue dysfunction: inflammation, fibrosis, and impaired angiogenesis
Hit paper breakdown →
2017515
2 2018309
3
Extracellular vesicle-based interorgan transport of mitochondria from energetically stressed adipocytes
Hit paper breakdown →
2021277
4 202258
5 201954
6 201951
7 201650
8 202147
9 201943
10 202143
11 201342
12 201341
13 201939
14 201630
15 202128
16 202419
17 202318
18 202313
19 202212
20 201610

About Clair Crewe

Clair Crewe is a scholar working on Molecular Biology, Physiology, Epidemiology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Extracellular vesicles in disease (10 papers), MicroRNA in disease regulation (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Mitochondrial Function and Pathology (5 papers), Cardiovascular Disease and Adiposity (4 papers), Autophagy in Disease and Therapy (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Physiology (688 citations), Cancer Research (351 citations), Cardiology and Cardiovascular Medicine (391 citations), Epidemiology (582 citations) and Molecular Biology (865 citations). Clair Crewe has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Philipp E. Scherer, Yu An, Ruth Gordillo, Nolwenn Joffin, Fang Zhang, Joseph M. Rutkowski, Dwight A. Towler, Min Kim, Luke I. Szweda and Christine M. Kusminski. Their work appears in journals such as Nature Metabolism, Cell Metabolism, Diabetes, JCI Insight and Comprehensive physiology.

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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