María J. Cano

448 citations
11 papers · 363 indexed · h-index 8
Topics
Prion Diseases and Protein Misfolding (4 papers)Neurological diseases and metabolism (3 papers)Growth Hormone and Insulin-like Growth Factors (3 papers)

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
Replace C L Tucek with:
C L Tucek Australia
Marianna Di Scala Spain
Margo L. Whiteford United Kingdom
Malinda A. Stull United States
Noam Kadouri Israel
Sandra Dollet France
Anja Schrade United States
R Moriuchi Japan
Piotr Celichowski Poland
Valérie Risson France
María J. Cano relative to C L Tucek Australia C L Tucek's profile →
Citations per field
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Citations per year

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
#WorkIndexed 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

About María J. Cano

María J. Cano is a scholar working on Neurology, Virology and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 363 indexed citations. Recurring topics across this 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). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (161 citations), Neurology (38 citations) and General Engineering (4 citations). María J. Cano has collaborated with scholars based in Spain, United States and Australia. Frequent 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. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Water Research and Journal of Virology.

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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