Albert M. Li

6.2k citations
111 papers · 4.4k · 1 hit paper · h-index 39

Impact in

Papers in

Albert M. Li

109 papers receiving 4.3k citations

Albert M. Li's Hit Papers

Mitochondria-Rich Extracellular Vesicles From Autologous Stem Cell–Derived Cardiomyocytes Restore Energetics of Ischemic Myocardium 2021 · 197 citations
1970+1+3Years since publication50100150

Peers

Albert M. Li
Comparison fields: 5 of 137
  • Endocrine and Autonomic Systems 416
  • Physiology 1.4k
  • Experimental and Cognitive Psychology 397
  • Obstetrics and Gynecology 164
  • Pulmonary and Respiratory Medicine 690
Replace Kyle Porter with:
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Inger Thune Norway
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Margery Gass United States
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Albert M. Li relative to Kyle Porter United States Kyle Porter's profile →
Citations per field
00.5×2.8×
Kyle Porter · 1×
Citations per year

Countries citing papers authored by Albert M. Li

Since Specialization
Citations

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

Fields of papers citing papers by Albert M. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert M. Li. 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 Albert M. Li. The network helps show where Albert M. Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005239
2 2007221
3
Mitochondria-Rich Extracellular Vesicles From Autologous Stem Cell–Derived Cardiomyocytes Restore Energetics of Ischemic Myocardium
Hit paper breakdown →
2021197
4 2003155
5 2015147
6 2011129
7 2008123
8 200999
9 202097
10 200492
11 202392
12 200687
13 201083
14 200381
15 200476
16 200875
17 201575
18 200773
19 200873
20 201571

About Albert M. Li

Albert M. Li is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Surgery, having authored 111 papers that have together received 4.4k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (22 papers), Asthma and respiratory diseases (20 papers), Respiratory and Cough-Related Research (12 papers), Cancer, Hypoxia, and Metabolism (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Epigenetics and DNA Methylation (6 papers), Sleep and Wakefulness Research (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (416 citations), Physiology (1.4k citations), Experimental and Cognitive Psychology (397 citations), Obstetrics and Gynecology (164 citations) and Pulmonary and Respiratory Medicine (690 citations). Albert M. Li has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Yun Kwok Wing, Chun Ting Au, Jiangbin Ye, Hung‐Kwan So, Tai Fai Fok, Pak Cheung Ng, E. Anthony S. Nelson, Jane Yin, Christopher Wai Kei Lam and Hugh Simon Lam. Their work appears in journals such as Pediatric Pulmonology, CHEST Journal, Sleep Medicine, Journal of Asthma and The Journal of Pediatrics.

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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