Mona Garro

1.2k citations
19 papers · 1000 · h-index 15

Impact in

Papers in

Mona Garro

19 papers receiving 993 citations

Peers

Mona Garro
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 527
  • Cardiology and Cardiovascular Medicine 442
  • Physiology 183
  • Nephrology 48
  • Surgery 263
Replace Francisco I. Ramirez‐Perez with:
Francisco I. Ramirez‐Perez United States
Min He China
Luminita H. Pojoga United States
Minolfa C. Prieto United States
Madeleine Vincent France
Jürgen Bohlender Germany
Ashley S. Izzard United Kingdom
G Siffert Germany
Isabel Aránguez Spain
Amanda J. Rickard Australia
Mona Garro relative to Francisco I. Ramirez‐Perez United States Francisco I. Ramirez‐Perez's profile →
Citations per field
00.5×1.7×
Francisco I. Ramirez‐Perez · 1×
Citations per year

Countries citing papers authored by Mona Garro

Since Specialization
Citations

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

Fields of papers citing papers by Mona Garro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona Garro. 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 Mona Garro. The network helps show where Mona Garro may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2017205
2 2015125
3 201391
4 201388
5 201587
6 201263
7 201562
8 201449
9 201546
10 201637
11 201633
12 201632
13 201227
14 201622
15 201017
16 200813
17 20151
18 20041
19 20141

About Mona Garro

Mona Garro is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Physiology and Molecular Biology, having authored 19 papers that have together received 1000 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (7 papers), Diabetes Treatment and Management (6 papers), Hormonal Regulation and Hypertension (4 papers), Diet, Metabolism, and Disease (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Cardiovascular Effects of Exercise (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (527 citations), Cardiology and Cardiovascular Medicine (442 citations), Physiology (183 citations), Nephrology (48 citations) and Surgery (263 citations). Mona Garro has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include James R. Sowers, Vincent G. DeMarco, Javad Habibi, Annayya R. Aroor, Melvin R. Hayden, Camila Manrique, Adam Whaley‐Connell, Guanghong Jia, Shawn B. Bender and Luis A. Martinez‐Lemus. Their work appears in journals such as Endocrinology, Hypertension, American Journal of Physiology-Heart and Circulatory Physiology, Cardiovascular Diabetology and Cardiorenal Medicine.

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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