Phing‐How Lou

1k citations
28 papers · 843 · h-index 15

Impact in

Papers in

Phing‐How Lou

27 papers receiving 831 citations

Peers

Phing‐How Lou
Comparison fields: 5 of 79
  • Nutrition and Dietetics 100
  • Sensory Systems 33
  • Endocrine and Autonomic Systems 29
  • Pathology and Forensic Medicine 83
  • Molecular Biology 294
Replace Lucia Mastrototaro with:
Lucia Mastrototaro Germany
Blythe D. Shepard United States
Yoshihisa Nasa Japan
Alexandre Lucas France
Ana Kilić Germany
János Magyar Hungary
Larissa Garcia Pinto Brazil
Hongping Li China
Tao Song China
Carola Buccellati Italy
Phing‐How Lou relative to Lucia Mastrototaro Germany Lucia Mastrototaro's profile →
Citations per field
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Lucia Mastrototaro · 1×
Citations per year

Countries citing papers authored by Phing‐How Lou

Since Specialization
Citations

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

Fields of papers citing papers by Phing‐How Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phing‐How Lou. 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 Phing‐How Lou. The network helps show where Phing‐How Lou may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012130
2 2016127
3 2007114
4 201451
5 202045
6 201444
7 201041
8 202138
9 201733
10 201224
11 202023
12 201221
13 202219
14 201718
15 201717
16 201415
17 201113
18 202213
19 201911
20 202011

About Phing‐How Lou

Phing‐How Lou is a scholar working on Nutrition and Dietetics, Pathology and Forensic Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism and Sensory Systems, having authored 28 papers that have together received 843 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (9 papers), Clinical Nutrition and Gastroenterology (7 papers), Mitochondrial Function and Pathology (4 papers), Fatty Acid Research and Health (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Cardiovascular Function and Risk Factors (2 papers), Pancreatic function and diabetes (1 paper) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Nutrition and Dietetics (100 citations), Sensory Systems (33 citations), Endocrine and Autonomic Systems (29 citations), Pathology and Forensic Medicine (83 citations) and Molecular Biology (294 citations). Phing‐How Lou has collaborated with scholars based in Canada, Switzerland and United States. Frequent co-authors include Eliana Lucchinetti, Michael Zaugg, Martin Hersberger, Alexander S. Clanachan, Hélène Lemieux, Manoj Gandhi, Søren Tullin, Michael P. Murphy, Birgit Sehested Hansen and Martin D. Brand. Their work appears in journals such as PLoS ONE, Anesthesia & Analgesia, Anesthesiology, American Journal of Clinical Nutrition and Molecular Nutrition & Food Research.

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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