Darlene E. Berryman

5.7k citations
121 papers · 4.4k · 1 hit paper · h-index 37

Impact in

Papers in

Darlene E. Berryman

117 papers receiving 4.4k citations

Darlene E. Berryman's Hit Papers

The GH/IGF-1 axis in ageing and longevity 2013 · 430 citations
4300+4+8Years since publication100200300400

Peers

Darlene E. Berryman
Comparison fields: 5 of 124
  • Aging 379
  • Endocrinology, Diabetes and Metabolism 2.0k
  • Physiology 1.7k
  • Endocrine and Autonomic Systems 433
  • Cancer Research 362
Replace Radhika Muzumdar with:
Radhika Muzumdar United States
Manu V. Chakravarthy United States
Jaime Guevara‐Aguirre United States
Priya Balasubramanian United States
Andrew C. Adams United States
Noni L. Bodkin United States
Michał M. Masternak United States
Derek M. Huffman United States
D. Ross Laybutt Australia
Sebastian Brandhorst United States
Darlene E. Berryman relative to Radhika Muzumdar United States Radhika Muzumdar's profile →
Citations per field
00.5×2.7×
Radhika Muzumdar · 1×
Citations per year

Countries citing papers authored by Darlene E. Berryman

Since Specialization
Citations

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

Fields of papers citing papers by Darlene E. Berryman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darlene E. Berryman. 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 Darlene E. Berryman. The network helps show where Darlene E. Berryman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The GH/IGF-1 axis in ageing and longevity
Hit paper breakdown →
2013430
2 2008229
3 2004224
4 2009190
5 2013173
6 2010145
7 2014128
8 2013126
9 2019120
10 2009113
11 2014106
12 200685
13 200880
14 201179
15 200878
16 201171
17 200670
18 201470
19 201568
20 201365

About Darlene E. Berryman

Darlene E. Berryman is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 121 papers that have together received 4.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (65 papers), Adipose Tissue and Metabolism (39 papers), Diet and metabolism studies (18 papers), Adipokines, Inflammation, and Metabolic Diseases (16 papers), Lipid metabolism and disorders (13 papers), Regulation of Appetite and Obesity (12 papers), Pituitary Gland Disorders and Treatments (8 papers) and Cancer, Hypoxia, and Metabolism (7 papers). The work is most often cited by research in Aging (379 citations), Endocrinology, Diabetes and Metabolism (2.0k citations), Physiology (1.7k citations), Endocrine and Autonomic Systems (433 citations) and Cancer Research (362 citations). Darlene E. Berryman has collaborated with scholars based in United States, Denmark and Poland. Frequent co-authors include John J. Kopchick, Edward O. List, Riia K. Junnila, Gudmundur Johannsson, Ellen R. Lubbers, André Bensadoun, Bruce Kelder, Karen T. Coschigano, Lucila Sackmann‐Sala and Michael O. Thorner. Their work appears in journals such as Endocrinology, Growth Hormone & IGF Research, The Journals of Gerontology Series A, Aging and Pituitary.

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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