David A. Cano

60 papers receiving 2.7k citations

Peers

David A. Cano
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 425
  • Oncology 550
  • Genetics 568
  • Surgery 589
  • Endocrine and Autonomic Systems 62
Replace Theodore J. Koh with:
Theodore J. Koh United States
Robert K. Montgomery United States
Marta Sanna Italy
Khristian Erich Bauer-Rowe United States
Parthive H. Patel United States
MITSUAKI NISHIZAWA Japan
Jean-José Maoret France
Yukiko Tone United States
Wendy Jia Men Huang United States
Florian Wiede Australia
David A. Cano relative to Theodore J. Koh United States Theodore J. Koh's profile →
Citations per field
00.5×5×10×15.2×
Theodore J. Koh · 1×
Citations per year

Countries citing papers authored by David A. Cano

Since Specialization
Citations

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

Fields of papers citing papers by David A. Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Cano. 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 David A. Cano. The network helps show where David A. Cano may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010314
2 2007213
3 2007187
4 2004158
5 2008132
6 2001127
7 2017124
8 2006123
9 2002105
10 200785
11 200784
12 200882
13 200480
14 201359
15 200252
16 200352
17 201052
18 201452
19 201351
20 201749

About David A. Cano

David A. Cano is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Oncology, having authored 62 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (23 papers), Pancreatic function and diabetes (15 papers), Bacterial Genetics and Biotechnology (11 papers), Pancreatic and Hepatic Oncology Research (4 papers), Developmental Biology and Gene Regulation (4 papers), Cancer, Hypoxia, and Metabolism (2 papers), Bacteriophages and microbial interactions (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (425 citations), Oncology (550 citations), Genetics (568 citations), Surgery (589 citations) and Endocrine and Autonomic Systems (62 citations). David A. Cano has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Matthias Hebrok, Shigeki Sekine, Josep Casadesús, Francisco Garcia del Portillo, Sam C. Wang, John P. Morris, María Graciela Pucciarelli, Noel S. Murcia, Gregory J. Pazour and Patrick W. Heiser. Their work appears in journals such as PLoS ONE, Gastroenterology, Diabetes, The Journal of Clinical Endocrinology & Metabolism and Journal of Clinical Investigation.

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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