Daniel Turyn

3.2k citations
96 papers · 2.6k · h-index 29

Impact in

Papers in

Daniel Turyn

94 papers receiving 2.5k citations

Peers

Daniel Turyn
Comparison fields: 5 of 113
  • Aging 275
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Physiology 722
  • Cardiology and Cardiovascular Medicine 590
  • Endocrine and Autonomic Systems 151
Replace Yazmín Macotela with:
Yazmín Macotela Mexico
Michael P. O’Donnell United States
Kevin Y. Lee United States
J. A. Maassen Netherlands
Yimin Fang United States
Yoko Honda Japan
Valérie Robert France
Chia‐Wei Cheng United States
Heather Towery United States
Peter Razeghi United States
Daniel Turyn relative to Yazmín Macotela Mexico Yazmín Macotela's profile →
Citations per field
00.5×4.4×
Yazmín Macotela · 1×
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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003154
2 2008152
3 2002151
4 2005126
5 2007104
6 200299
7 200092
8 199491
9 200277
10 201269
11 199966
12 199961
13 201061
14 199961
15 201060
16 200950
17 200945
18 200944
19 201644
20 201343

About Daniel Turyn

Daniel Turyn is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Genetics and Physiology, having authored 96 papers that have together received 2.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (47 papers), Metabolism, Diabetes, and Cancer (20 papers), Pancreatic function and diabetes (18 papers), Cancer, Hypoxia, and Metabolism (12 papers), Cytokine Signaling Pathways and Interactions (10 papers), Animal Genetics and Reproduction (10 papers), Renin-Angiotensin System Studies (9 papers) and Thyroid Disorders and Treatments (9 papers). The work is most often cited by research in Aging (275 citations), Endocrinology, Diabetes and Metabolism (1.3k citations), Physiology (722 citations), Cardiology and Cardiovascular Medicine (590 citations) and Endocrine and Autonomic Systems (151 citations). Daniel Turyn has collaborated with scholars based in Argentina, United States and Brazil. Frequent co-authors include Fernando P. Dominici, Andrzej Bartke, Marina C. Muñoz, Jorge F. Giani, Ana I. Sotelo, Johanna G. Miquet, Mariela M. Gironacci, Richard W. Steger, Jorge E. Toblli and Lorena González. Their work appears in journals such as Journal of Endocrinology, Hormone and Metabolic Research, Growth Hormone & IGF Research, General and Comparative Endocrinology and American Journal of Physiology-Endocrinology and Metabolism.

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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