Sauri Hernández‐Reséndiz

35 papers receiving 1.8k citations

Hit Papers

Inflammation following acute myocardial infarction: Multi...201820262020202320182020200400600

Peers

Sauri Hernández‐Reséndiz
Comparison fields: 5 of 99
  • Molecular Biology 972
  • Cardiology and Cardiovascular Medicine 597
  • Pathology and Forensic Medicine 426
  • Surgery 225
  • Epidemiology 186
Replace Narasimman Gurusamy with:
Narasimman Gurusamy United States
Jincheng Liu China
Ying Tan China
Pierre Sicard France
Dinender Kumar Canada
Suresh S. Palaniyandi United States
Xiyuan Lu United States
Jian‐Xiong Chen United States
Csaba Csonka Hungary
Vinodkumar B. Pillai United States
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Citations per field
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Citations per year

Countries citing papers authored by Sauri Hernández‐Reséndiz

Since Specialization
Citations

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

Fields of papers citing papers by Sauri Hernández‐Reséndiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sauri Hernández‐Reséndiz. 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 Sauri Hernández‐Reséndiz. The network helps show where Sauri Hernández‐Reséndiz may publish in the future.

Co-authorship network of co-authors of Sauri Hernández‐Reséndiz

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 29
2 50
3
Mitochondria in acute myocardial infarction and cardioprotectionbreakdown →
229
4
Inflammation following acute myocardial infarction: Multiple players, dynamic roles, and novel therapeutic opportunitiesbreakdown →
642
5 4
6 8
7 85
8 21
9 34
10 31
11 21
12 7
13 89
14 23
15 28
16 10
17 38
18 14
19 7
20 28

About Sauri Hernández‐Reséndiz

Sauri Hernández‐Reséndiz is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine and Clinical Biochemistry, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (17 papers), Mitochondrial Function and Pathology (12 papers) and ATP Synthase and ATPases Research (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (597 citations), Pathology and Forensic Medicine (426 citations) and Developmental Neuroscience (67 citations). Sauri Hernández‐Reséndiz has collaborated with scholars based in Mexico, Singapore and United Kingdom. Frequent co-authors include Derek J. Hausenloy, Gustavo E Crespo-Avilan, Sang‐Bing Ong, Héctor A. Cabrera-Fuentes, Regina Mukhametshina, Cecilia Zazueta, Chrishan J. A. Ramachandra, Ying‐Hsi Lin, Francisco Correa and Mabel Buelna‐Chontal. Their work appears in journals such as Journal of the American College of Cardiology, Scientific Reports and Free Radical Biology and 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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