Danny Chiu

19 papers receiving 1.1k citations

Peers

Danny Chiu
Comparison fields: 5 of 97
  • Genetics 268
  • Hematology 175
  • Physiology 340
  • Biochemistry 82
  • Nutrition and Dietetics 188
Replace Akiyo Matsumoto with:
Akiyo Matsumoto Japan
GF Gaetani Italy
Hans Dierck Waller Germany
Ibert C. Wells United States
Rosa Mangerini Italy
Jan Øivind Moskaug Norway
B. M. Hannigan United Kingdom
Michela Grosso Italy
Nobuo Watanabe Japan
Xiao-Lan Cui China
Danny Chiu relative to Akiyo Matsumoto Japan Akiyo Matsumoto's profile →
Citations per field
00.5×4.5×
Akiyo Matsumoto · 1×
Citations per year

Countries citing papers authored by Danny Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Danny Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny Chiu. 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 Danny Chiu. The network helps show where Danny Chiu may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1976317
2 1982157
3 1985135
4 1979116
5
Oxidative hemoglobin denaturation and RBC destruction: the effect of heme on red cell membranes.
1989102
6 197776
7 198575
8 198256
9 198237
10 197723
11 198320
12 198218
13 198717
14 199116
15 19846
16
Red cell membrane lipid dynamics.
19896
17
Growth and citirc-acid production by Candida guilliermondii using a cellulose substrate
19824
18 20174
19 19892

About Danny Chiu

Danny Chiu is a scholar working on Physiology, Molecular Biology, Nutrition and Dietetics, Genetics and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (9 papers), Hemoglobinopathies and Related Disorders (5 papers), Neonatal Health and Biochemistry (4 papers), Lipid Membrane Structure and Behavior (3 papers), Iron Metabolism and Disorders (3 papers), Organoselenium and organotellurium chemistry (3 papers), Selenium in Biological Systems (3 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Genetics (268 citations), Hematology (175 citations), Physiology (340 citations), Biochemistry (82 citations) and Nutrition and Dietetics (188 citations). Danny Chiu has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Bertram H. Lubin, Al L. Tappel, Stephen B. Shohet, BH Lubin, Isaiah J. Fidler, RS Schwartz, Yutaka Tanaka, A. J. Schroit, John W. Forstrom and Klara Kleman. Their work appears in journals such as Pediatric Research, Journal of Clinical Investigation, Archives of Biochemistry and Biophysics, Annals of the New York Academy of Sciences and British Journal of Haematology.

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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