M. Hasu

18 papers receiving 773 citations

Peers

M. Hasu
Comparison fields: 5 of 84
  • Clinical Biochemistry 222
  • Immunology 206
  • Endocrinology, Diabetes and Metabolism 146
  • Nephrology 49
  • Radiology, Nuclear Medicine and Imaging 119
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D Boeri Italy
Nuria Matesanz Spain
Bridget Ford United States
Yoji Shibayama United States
Lorena Amadio Italy
Andrea Hodgkinson United Kingdom
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Citations per year

Countries citing papers authored by M. Hasu

Since Specialization
Citations

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

Fields of papers citing papers by M. Hasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1994262
2 2012117
3 1988104
4 201187
5
Pathobiochemistry of combined diabetes and atherosclerosis studied on a novel animal model. The hyperlipemic-hyperglycemic hamster.
199647
6 200845
7 201343
8 199728
9 201112
10
Prelesional events in atherogenesis. Changes induced by hypercholesterolemia in the cell surface chemistry of arterial endothelium and blood monocytes, in rabbit.
198711
11
Charge effect on binding, uptake and transport of ferritin through fenestrated endothelium.
198611
12 201310
13
Rural-urban relationships in Papua New Guinea : case material from the Gulf Province on net flows
19797
14 19896
15 20136
16
Cell surface chemistry of arterial endothelium and blood monocytes in the normolipidemic rabbit.
19875
17 19942
18 19921

About M. Hasu

M. Hasu is a scholar working on Immunology, Molecular Biology, Clinical Biochemistry, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 18 papers that have together received 804 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Effects of Radiation Exposure (2 papers), Radiation Dose and Imaging (2 papers), Blood properties and coagulation (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Clinical Biochemistry (222 citations), Immunology (206 citations), Endocrinology, Diabetes and Metabolism (146 citations), Nephrology (49 citations) and Radiology, Nuclear Medicine and Imaging (119 citations). M. Hasu has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Stewart C. Whitman, Doina Popov, M. Thabet, Rong Cao, Kosuke Kuwabara, Shi Du Yan, J Brett, Ann Marie Schmidt, J H Zhang and Maya Simionescu. Their work appears in journals such as Radiation Research, Cardiovascular Pathology, The Journal of Cell Biology, Canadian Journal of Cardiology and Cardiovascular 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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