José Córdoba‐Chacón

2.8k citations
69 papers · 2.1k indexed · h-index 27

José Córdoba‐Chacón

68 papers receiving 2.1k citations

Peers

José Córdoba‐Chacón
Comparison fields: 5 of 91
  • Endocrine and Autonomic Systems 481
  • Endocrinology, Diabetes and Metabolism 880
  • Physiology 572
  • Epidemiology 676
  • Nutrition and Dietetics 222
Replace Manuel D. Gahete with:
Manuel D. Gahete Spain
Lisa Hahner United States
Adam R. Kennedy United States
Brian York United States
Paul Kievit United States
Benjamin Challis United Kingdom
Michael K. Badman United States
Yin Li China
Alessandro Marsili Italy
Manuel Ros Spain
José Córdoba‐Chacón relative to Manuel D. Gahete Spain Manuel D. Gahete's profile →
Citations per field
00.5×1.5×
Manuel D. Gahete · 1×
Citations per year

Countries citing papers authored by José Córdoba‐Chacón

Since Specialization
Citations

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

Fields of papers citing papers by José Córdoba‐Chacón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Córdoba‐Chacón. 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 José Córdoba‐Chacón. The network helps show where José Córdoba‐Chacón may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202313
2 20238
3 20237
4 202233
5 2018109
6 201826
7 201815
8 20169
9 20168
10 201510
11 20158
12 201242
13
Role of Endogenous Somatostatin and Cortistatin in Regulating Adrenal Gland Function
20121
14 201181
15 201165
16 201127
17 201139
18 201161
19 201020
20
Identification and molecular characterization of new somatostatin receptor subtype 5 truncated isoforms in rodents
20081

About José Córdoba‐Chacón

José Córdoba‐Chacón is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Epidemiology, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (33 papers), Liver Disease Diagnosis and Treatment (20 papers), Regulation of Appetite and Obesity (16 papers), Adipose Tissue and Metabolism (12 papers), Pituitary Gland Disorders and Treatments (11 papers), Pancreatic function and diabetes (10 papers), Neuroendocrine Tumor Research Advances (9 papers) and Lipid metabolism and disorders (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (481 citations), Endocrinology, Diabetes and Metabolism (880 citations) and Physiology (572 citations). José Córdoba‐Chacón has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Rhonda D. Kineman, Manuel D. Gahete, Raúl M. Luque, Justo P. Castaño, Francisco Gracia‐Navarro, Mario Durán‐Prado, Antonio J. Martínez‐Fuentes, Brian T. Layden, Papasani V. Subbaiah and Marı́a M. Malagón. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Clinical Endocrinology & 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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