G Allen

38 papers receiving 2.0k citations

G Allen's Hit Papers

mito-QC illuminates mitophagy and mitochondrial architecture in vivo 2016 · 389 citations
3890+4+8Years since publication100200300400

Peers

G Allen
Comparison fields: 5 of 108
  • Physiology 124
  • Epidemiology 784
  • Clinical Biochemistry 138
  • Neurology 289
  • Geriatrics and Gerontology 63
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Insil Kim United States
Dominic Winter Germany
Jill K. Fisher United States
Ayumu Sugiura Japan
Robert Gourlay United Kingdom
Kasturi Mitra United States
Flora Guerra Italy
Jiho Kim South Korea
Joo‐Ho Shin South Korea
Vincent Soubannier Canada
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Countries citing papers authored by G Allen

Since Specialization
Citations

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

Fields of papers citing papers by G Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Loss of iron triggers PINK1/Parkin‐independent mitophagy
Hit paper breakdown →
2013422
2
mito-QC illuminates mitophagy and mitochondrial architecture in vivo
Hit paper breakdown →
2016389
3 2013188
4 2015128
5 198081
6 201157
7 198257
8
Protein : a comprehensive treatise
199746
9 200945
10 202043
11 199439
12 201337
13 199636
14 201034
15 199632
16 198331
17 199429
18 197928
19 198027
20 197527

About G Allen

G Allen is a scholar working on Molecular Biology, Physiology, Immunology, Epidemiology and Cell Biology, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Autophagy in Disease and Therapy (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Metabolism and Genetic Disorders (4 papers), Cellular transport and secretion (3 papers), interferon and immune responses (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Physiology (124 citations), Epidemiology (784 citations), Clinical Biochemistry (138 citations), Neurology (289 citations) and Geriatrics and Gerontology (63 citations). G Allen has collaborated with scholars based in United Kingdom, United States and Tanzania. Frequent co-authors include Ian G. Ganley, Rachel Toth, John James, Thomas G. McWilliams, Calum Thomson, J. Tamjar, Michael J. Munson, Alan R. Prescott, Miratul M. K. Muqit and Manuel O. Dı́az. Their work appears in journals such as Biochemical Journal, Journal of Interferon & Cytokine Research, Journal of Medicinal Chemistry, The FASEB Journal and American Journal of Tropical Medicine and Hygiene.

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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