Lee-Ching Lew

28 papers receiving 1.2k citations

Peers

Lee-Ching Lew
Comparison fields: 5 of 98
  • Biological Psychiatry 180
  • Food Science 497
  • Gastroenterology 72
  • Behavioral Neuroscience 45
  • Nutrition and Dietetics 181
Replace Marco Pane with:
Marco Pane Italy
Min‐Tze Liong Malaysia
Yan-Yan Hor Malaysia
Luca Mogna Italy
Petra Hermanová Czechia
Christina Ohland Canada
Åsa Håkansson Sweden
Parvaneh Jafari Iran
Camille Martin‐Gallausiaux France
Giorgio La Fata Netherlands
Lee-Ching Lew relative to Marco Pane Italy Marco Pane's profile →
Citations per field
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Marco Pane · 1×
Citations per year

Countries citing papers authored by Lee-Ching Lew

Since Specialization
Citations

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

Fields of papers citing papers by Lee-Ching Lew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee-Ching Lew. 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 Lee-Ching Lew. The network helps show where Lee-Ching Lew may publish in the future.

Co-authors

The 25 scholars most cited alongside Lee-Ching Lew, 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 Lee-Ching Lew Line = papers co-authored together Lee-Ching Lew 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 2018213
2 2019149
3 201487
4 201385
5 201983
6 201868
7 201954
8 201752
9 201744
10 202036
11 201836
12 202130
13 201930
14 201229
15 202029
16 201227
17 202026
18 201123
19 202015
20 201314

About Lee-Ching Lew

Lee-Ching Lew is a scholar working on Molecular Biology, Food Science, Physiology, Cellular and Molecular Neuroscience and Surgery, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gut microbiota and health (12 papers), Probiotics and Fermented Foods (12 papers), Diet and metabolism studies (5 papers), Antioxidants, Aging, Portulaca oleracea (4 papers), Dermatology and Skin Diseases (3 papers), Pediatric health and respiratory diseases (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Biological Psychiatry (180 citations), Food Science (497 citations), Gastroenterology (72 citations), Behavioral Neuroscience (45 citations) and Nutrition and Dietetics (181 citations). Lee-Ching Lew has collaborated with scholars based in Malaysia, South Korea and Japan. Frequent co-authors include Min‐Tze Liong, Sy Bing Choi, Min‐Tze Liong, Yan-Yan Hor, Normala Abdul Wahid, Mohammad Farris Iman Leong Bin Abdullah, Muhamad Saiful Bahri Yusoff, Norzila Zakaria, Heping Zhang and Zhihong Sun. Their work appears in journals such as Journal of Applied Microbiology, Journal of the Science of Food and Agriculture, Journal of Biotechnology, International Journal of Molecular Sciences and Journal of Food Science.

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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