María Clara Guida

592 citations
12 papers · 354 indexed · h-index 10
Topics
Pituitary Gland Disorders and Treatments (3 papers)Growth Hormone and Insulin-like Growth Factors (3 papers)Genetics, Aging, and Longevity in Model Organisms (2 papers)

In The Last Decade

María Clara Guida

12 papers receiving 351 citations

Peers

María Clara Guida
Comparison fields: 5 of 64
  • Molecular Biology 165
  • Endocrinology, Diabetes and Metabolism 100
  • Genetics 58
  • Orthopedics and Sports Medicine 44
  • Public Health, Environmental and Occupational Health 38
Replace Silvia Pulido with:
Silvia Pulido United States
Mônica M. França Brazil
Ayush Midha United States
Paul D. Goetsch United States
Bret L. Bostwick United States
E M Eicher United States
Irene Miguel-Escalada United Kingdom
Mitsumori Kawaminami Japan
Pilar García‐Villalba France
Wang Sw China
María Clara Guida relative to Silvia Pulido United States Silvia Pulido's profile →
Citations per field
00.5×3.7×
Silvia Pulido · 1×
Citations per year

Countries citing papers authored by María Clara Guida

Since Specialization
Citations

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

Fields of papers citing papers by María Clara Guida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Clara Guida

This figure shows the co-authorship network connecting the top 25 collaborators of María Clara Guida. A scholar is included among the top collaborators of María Clara Guida 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 Clara Guida. María Clara Guida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 6
2 43
3 24
4 19
5 52
6 36
7 47
8 17
9 28
10 13
11 7
12 62

About María Clara Guida

María Clara Guida is a scholar working on Aging, Endocrinology, Diabetes and Metabolism and Physiology, having authored 12 papers that have together received 354 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (21 citations), Endocrinology, Diabetes and Metabolism (100 citations) and Orthopedics and Sports Medicine (44 citations). María Clara Guida has collaborated with scholars based in United States, Argentina and Germany. Frequent co-authors include Tobias Hermle, Matias Simons, Damasia Becú‐Villalobos, Graciela Dı́az-Torga, Attilio Di Spiezio Sardo, Giuseppe Bifulco, Carmine Nappi, Samuel J. Beck, Giuseppe Acunzo and Costantino Di Carlo. Their work appears in journals such as Nature Communications, The EMBO Journal and The FASEB Journal.

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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