Gláucia E. Callera

57 papers receiving 3.4k citations

Peers

Gláucia E. Callera
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 965
  • Cardiology and Cardiovascular Medicine 879
  • Physiology 890
  • Biochemistry 265
  • Nutrition and Dietetics 431
Replace Álvaro Yogi with:
Álvaro Yogi Canada
Hirofumi Hitomi Japan
Takehide Ogihara Japan
Fatiha Tabet Australia
Yoshihiro Taniyama Japan
Khalid Matrougui United States
Motonobu Anai Japan
Christine G. Schnackenberg United States
Javad Habibi United States
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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010328
2 2012296
3 2005213
4 2008194
5 2010150
6 2008134
7 2003119
8 2005105
9 200693
10 201290
11 200588
12 200587
13 200886
14 201177
15 201167
16 200765
17 200864
18 200862
19 201061
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 Surgery, having authored 58 papers that have together received 3.5k 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 (8 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 (965 citations), Cardiology and Cardiovascular Medicine (879 citations), Physiology (890 citations), Biochemistry (265 citations) and Nutrition and Dietetics (431 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, Aurélie Nguyen Dinh Cat and Tayze T. Antunes. Their work appears in journals such as Hypertension, Clinical Science, Circulation Research, Life Sciences and British Journal of Pharmacology.

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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