Ka Ying

2.9k citations
61 papers · 2.4k · h-index 28

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Phytochemicals and Antioxidant Activities

Papers in

    • Cholesterol and Lipid Metabolism 31
    • Gut microbiota and health 10
    • Peroxisome Proliferator-Activated Receptors 6

Ka Ying

61 papers receiving 2.3k citations

Peers

Ka Ying
Comparison fields: 5 of 112
  • Aging 133
  • Biochemistry 352
  • Nutrition and Dietetics 466
  • Pharmacology 226
  • Biological Psychiatry 52
Replace Minerva Ramos‐Gómez with:
Minerva Ramos‐Gómez Mexico
Susana González‐Manzano Spain
Christine Boesch‐Saadatmandi Germany
João Tomé‐Carneiro Spain
Andreas Kampkötter Germany
Guan‐Hu Bao China
K. J. Senthil Kumar Taiwan
Katsunari Ippoushi Japan
Carmela Filesi Italy
Maria Halabalaki Greece
Ka Ying relative to Minerva Ramos‐Gómez Mexico Minerva Ramos‐Gómez's profile →
Citations per field
00.5×4.8×
Minerva Ramos‐Gómez · 1×
Citations per year

Countries citing papers authored by Ka Ying

Since Specialization
Citations

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

Fields of papers citing papers by Ka Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008227
2 2014153
3 2011149
4 2017121
5 2019120
6 2011106
7 2011101
8 201784
9 202172
10 201056
11 201252
12 201551
13 201250
14 201950
15 202348
16 201448
17 201744
18 201544
19 202141
20 201338

About Ka Ying

Ka Ying is a scholar working on Surgery, Molecular Biology, Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism and Plant Science, having authored 61 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (31 papers), Fatty Acid Research and Health (10 papers), Gut microbiota and health (10 papers), Diet and metabolism studies (8 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Phytochemicals and Antioxidant Activities (6 papers), Drug Transport and Resistance Mechanisms (6 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Aging (133 citations), Biochemistry (352 citations), Nutrition and Dietetics (466 citations), Pharmacology (226 citations) and Biological Psychiatry (52 citations). Ka Ying has collaborated with scholars based in Hong Kong, China and Netherlands. Frequent co-authors include Zhen‐Yu Chen, Rui Jiao, Hanyue Zhu, Zouyan He, Yü Huang, Jianhui Liu, Wangjun Hao, Yuanyuan Zuo, Cheng Peng and Yintong Liang. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food & Function, Journal of Functional Foods, European Journal of Nutrition and Atherosclerosis.

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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