María J. Cano

448 total citations
11 papers, 363 citations indexed

About

María J. Cano is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, María J. Cano has authored 11 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Neurology. Recurrent topics in María J. Cano's work include Prion Diseases and Protein Misfolding (4 papers), Neurological diseases and metabolism (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). María J. Cano is often cited by papers focused on Prion Diseases and Protein Misfolding (4 papers), Neurological diseases and metabolism (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). María J. Cano collaborates with scholars based in Spain, United States and Australia. María J. Cano's co-authors include Ricardo V. Lloyd, Ariel L. Barkan, William F. Chandler, Thomas D. Landefeld, Éva Horváth, Kálmán Kovács, Juan María Torres, Mark L. Grimes, Anna Iacangelo and Long Jin and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Water Research and Journal of Virology.

In The Last Decade

María J. Cano

11 papers receiving 354 citations

Peers

María J. Cano
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 161
  • Molecular Biology 131
  • Epidemiology 71
  • Genetics 64
  • Surgery 39
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Citations per field, relative to María J. Cano
María J. Cano · 1×
Citations per year, relative to María J. Cano
María J. Cano · 1×

Countries citing papers authored by María J. Cano

Since Specialization
Citations

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

Fields of papers citing papers by María J. Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María J. Cano

This figure shows the co-authorship network connecting the top 25 collaborators of María J. Cano. A scholar is included among the top collaborators of María J. Cano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with María J. Cano. María J. Cano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 6
2 7
3 23
4 28
5 17
6 2
7 31
8
Chromogranin A and B messenger ribonucleic acids in pituitary and other normal and neoplastic human endocrine tissues.
66
9
Human growth hormone and prolactin secreting pituitary adenomas analyzed by in situ hybridization.
83
10 43
11
The effects of estrogens on tumor growth and on prolactin and growth hormone mRNA expression in rat pituitary tissues.
57

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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