Gláucia E. Callera

59 papers receiving 3.6k citations

Peers

Gláucia E. Callera
Comparison fields: 5 of 101
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Cardiology and Cardiovascular Medicine 921
  • Physiology 930
  • Biochemistry 280
  • Nutrition and Dietetics 485
Replace Álvaro Yogi with:
Álvaro Yogi Canada
Takehide Ogihara Japan
Hirofumi Hitomi Japan
Fatiha Tabet Australia
Yoshihiro Taniyama Japan
Khalid Matrougui United States
Christine G. Schnackenberg United States
Motonobu Anai Japan
Kaushik Desai Canada
Gláucia E. Callera relative to Álvaro Yogi Canada Álvaro Yogi's profile →
Citations per field
00.5×1.7×
Álvaro Yogi · 1×
Citations per year

Countries citing papers authored by Gláucia E. Callera

Since Specialization
Citations

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

Fields of papers citing papers by Gláucia E. Callera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gláucia E. Callera. 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 Gláucia E. Callera. The network helps show where Gláucia E. Callera may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010337
2 2012302
3 2005216
4 2008202
5 2010166
6 2008139
7 2003125
8 2005110
9 2006102
10 200896
11 201294
12 200594
13 200588
14 201180
15 200768
16 200867
17 201167
18 201067
19 200864
20 201356

About Gláucia E. Callera

Gláucia E. Callera is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology and Nutrition and Dietetics, having authored 59 papers that have together received 3.6k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (24 papers), Hormonal Regulation and Hypertension (18 papers), Renin-Angiotensin System Studies (11 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (9 papers), Eicosanoids and Hypertension Pharmacology (9 papers), Magnesium in Health and Disease (9 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Cardiology and Cardiovascular Medicine (921 citations), Physiology (930 citations), Biochemistry (280 citations) and Nutrition and Dietetics (485 citations). Gláucia E. Callera has collaborated with scholars based in Canada, Brazil and United Kingdom. Frequent co-authors include Rhian M. Touyz, Álvaro Yogi, Rita C. Tostes, Augusto C. Montezano, Ying He, Ernesto L. Schiffrin, Kevin D. Burns, Ana M. Briones, Tayze T. Antunes and Aurélie Nguyen Dinh Cat. Their work appears in journals such as Hypertension, Clinical Science, Circulation Research, British Journal of Pharmacology and Journal of Hypertension.

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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