Heberty Tarso Facundo

30 papers receiving 1.5k citations

Peers

Heberty Tarso Facundo
Comparison fields: 5 of 87
  • Developmental Neuroscience 73
  • Pathology and Forensic Medicine 301
  • Immunology 302
  • Molecular Biology 978
  • Cardiology and Cardiovascular Medicine 193
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Hiran A. Prag United Kingdom
Lucian Soane United States
Qinglin Yang United States
An‐Chi Wei Taiwan
Chuanlin Wang China
Qichao Huang China
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Citations per field
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Citations per year

Countries citing papers authored by Heberty Tarso Facundo

Since Specialization
Citations

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

Fields of papers citing papers by Heberty Tarso Facundo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heberty Tarso Facundo. 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 Heberty Tarso Facundo. The network helps show where Heberty Tarso Facundo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010161
2 2010139
3 2010134
4 2008117
5 2008111
6 2007103
7 201295
8 200584
9 200579
10 200556
11 201755
12 201754
13 201544
14 201331
15 202129
16 200425
17 201623
18 201923
19 202022
20 202221

About Heberty Tarso Facundo

Heberty Tarso Facundo is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Organic Chemistry, Cardiology and Cardiovascular Medicine and Surgery, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (14 papers), Mitochondrial Function and Pathology (10 papers), Glycosylation and Glycoproteins Research (8 papers), Carbohydrate Chemistry and Synthesis (5 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac Arrest and Resuscitation (3 papers), Anesthesia and Neurotoxicity Research (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Developmental Neuroscience (73 citations), Pathology and Forensic Medicine (301 citations), Immunology (302 citations), Molecular Biology (978 citations) and Cardiology and Cardiovascular Medicine (193 citations). Heberty Tarso Facundo has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include Steven P. Jones, Gladys A. Ngoh, Alicia J. Kowaltowski, Lewis J. Watson, Robert E. Brainard, Wolfgang Dillmann, Ayesha Zafir, Tariq Hamid, Sumanth D. Prabhu and Bethany W. Long. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Brazilian Journal of Medical and Biological Research, Circulation Research, Free Radical Research and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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