Michael N. Sack

19.1k citations
130 papers · 9.8k indexed · 3 hit papers · h-index 53

Michael N. Sack

124 papers receiving 9.6k citations

Hit Papers

Mitochondrial Function, Bio...3571996202620062016200400600

Peers

Michael N. Sack
Comparison fields: 5 of 132
  • Geriatrics and Gerontology 1.3k
  • Physiology 2.6k
  • Pathology and Forensic Medicine 1.7k
  • Cardiology and Cardiovascular Medicine 1.8k
  • Developmental Neuroscience 324
Replace Tetsuji Miura with:
Tetsuji Miura Japan
De‐Pei Liu China
Edward J. Lesnefsky United States
Hao Zhou China
Mahesh P. Gupta United States
Yasuo Ido United States
Sihem Boudina United States
Lorrie A. Kirshenbaum Canada
Masao Kaneki United States
Ronald J. Korthuis United States
Michael N. Sack relative to Tetsuji Miura Japan Tetsuji Miura's profile →
Citations per field
00.5×2.7×
Tetsuji Miura · 1×
Citations per year

Countries citing papers authored by Michael N. Sack

Since Specialization
Citations

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

Fields of papers citing papers by Michael N. Sack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael N. Sack. 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 Michael N. Sack. The network helps show where Michael N. Sack may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20255
3 202434
4 20240
5 202415
6 202412
7 202418
8 20230
9 202123
10 202165
11 201842
12 2017191
13 2015140
14
Mitochondrial reactive oxygen species promote production of proinflammatory cytokines and are elevated in TNFR1-associated periodic syndrome (TRAPS)breakdown →
2011695
15 201130
16 201021
17 2007453
18 200717
19 200283
20 200121

About Michael N. Sack

Michael N. Sack is a scholar working on Geriatrics and Gerontology, Pathology and Forensic Medicine and Developmental Neuroscience, having authored 130 papers that have together received 9.8k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (47 papers), Cardiac Ischemia and Reperfusion (30 papers), Adipose Tissue and Metabolism (27 papers), Sirtuins and Resveratrol in Medicine (23 papers), Autophagy in Disease and Therapy (19 papers), Dietary Effects on Health (8 papers), Cancer, Hypoxia, and Metabolism (8 papers) and Diet and metabolism studies (7 papers). The work is most often cited by research in Geriatrics and Gerontology (1.3k citations), Physiology (2.6k citations) and Pathology and Forensic Medicine (1.7k citations). Michael N. Sack has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Derek M. Yellon, Daniel P. Kelly, Lionel H. Opie, Iain Scott, Anne K. Jonassen, Ole D. Μjøs, Jianjun Bao, R O Cannon, D J Rader and Bradley R. Webster. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Journal of Biological Chemistry, Circulation Research, The Journal of Immunology and Journal of the American College of Cardiology.

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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