Hann Low

782 citations
19 papers · 569 · h-index 14

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 6
    • Peroxisome Proliferator-Activated Receptors 3
    • Extracellular vesicles in disease 2

Hann Low

19 papers receiving 562 citations

Peers

Hann Low
Comparison fields: 5 of 67
  • Virology 88
  • Emergency Medicine 98
  • Endocrinology, Diabetes and Metabolism 114
  • Immunology 125
  • Cancer Research 81
Replace Jeanie Kincer with:
Jeanie Kincer United States
Michael Ditiatkovski Australia
Sandra Winning Germany
Jürgen Dobmeyer Germany
Jessica N. Hodge United States
L. Campillo-Gimenez France
Émilie Capel France
Kwang Ho Pyun South Korea
Z Garcia United States
Xinbing Han United States
Hann Low relative to Jeanie Kincer United States Jeanie Kincer's profile →
Citations per field
00.5×10×15×19.3×
Jeanie Kincer · 1×
Citations per year

Countries citing papers authored by Hann Low

Since Specialization
Citations

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

Fields of papers citing papers by Hann Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201995
2 201263
3 201860
4 201158
5 201644
6 201239
7 201435
8 201331
9 201727
10 201927
11 202022
12 202016
13 202015
14 201514
15 20209
16 20205
17 20184
18 20114
19 20151

About Hann Low

Hann Low is a scholar working on Surgery, Molecular Biology, Emergency Medicine, Virology and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 569 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (6 papers), HIV-related health complications and treatments (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), HIV Research and Treatment (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Lipid metabolism and biosynthesis (2 papers), Reproductive System and Pregnancy (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Virology (88 citations), Emergency Medicine (98 citations), Endocrinology, Diabetes and Metabolism (114 citations), Immunology (125 citations) and Cancer Research (81 citations). Hann Low has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Dmitri Sviridov, Anh Hoang, Michael Bukrinsky, Nigora Mukhamedova, Dmitri Sviridov, Peter J. Meikle, Michael Ditiatkovski, Yury I. Miller, Ying Fu and Tatiana Pushkarsky. Their work appears in journals such as Cell Reports, Atherosclerosis, European Heart Journal, PLoS ONE and Data in Brief.

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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