Daniel Turyn

97 papers receiving 2.7k citations

Peers

Daniel Turyn
Comparison fields: 5 of 112
  • Aging 305
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Physiology 727
  • Cardiology and Cardiovascular Medicine 584
  • Endocrine and Autonomic Systems 156
Replace Yazmín Macotela with:
Yazmín Macotela Mexico
Derek Le Roith United States
Kevin Y. Lee United States
Vijay K. Yechoor United States
Philipp Gut Switzerland
Michael P. O’Donnell United States
Ingrid van der Pluijm Netherlands
Johan Holmkvist Denmark
Michel van Weeghel Netherlands
Diana C. Albarado United States
Daniel Turyn relative to Yazmín Macotela Mexico Yazmín Macotela's profile →
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Citations per year

Countries citing papers authored by Daniel Turyn

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Turyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003160
2 2002160
3 2008155
4 2005133
5 2002107
6 2007106
7 2000104
8 199497
9 200288
10 199976
11 201275
12 199970
13 199965
14 201063
15 201061
16 200954
17 201647
18 200945
19 200945
20 201344

About Daniel Turyn

Daniel Turyn is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology, having authored 97 papers that have together received 2.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (46 papers), Metabolism, Diabetes, and Cancer (18 papers), Pancreatic function and diabetes (18 papers), Cancer, Hypoxia, and Metabolism (12 papers), Cytokine Signaling Pathways and Interactions (10 papers), Renin-Angiotensin System Studies (10 papers), Thyroid Disorders and Treatments (9 papers) and Animal Genetics and Reproduction (9 papers). The work is most often cited by research in Aging (305 citations), Endocrinology, Diabetes and Metabolism (1.3k citations), Physiology (727 citations), Cardiology and Cardiovascular Medicine (584 citations) and Endocrine and Autonomic Systems (156 citations). Daniel Turyn has collaborated with scholars based in Argentina, United States and Brazil. Frequent co-authors include Fernando Pablo Dominici, Andrzej Bartke, Marina Cecilia Muñoz, Jorge Fernando Giani, Ana Isabel Sotelo, Johanna Gabriela Miquet, Mariela Mercedes Gironacci, Richard W. Steger, Jorge Eduardo Toblli and John Joseph Kopchick. Their work appears in journals such as Journal of Endocrinology, Hormone and Metabolic Research, Growth Hormone & IGF Research, American Journal of Physiology-Endocrinology and Metabolism and General and Comparative Endocrinology.

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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