Natural Chu

403 citations
24 papers · 248 · h-index 9

Impact in

    • Diet and metabolism studies
    • Nutrition and Health in Aging
    • Liver Disease and Transplantation

Papers in

Natural Chu

21 papers receiving 245 citations

Peers

Natural Chu
Comparison fields: 5 of 66
  • Physiology 111
  • Hepatology 25
  • Oncology 74
  • Endocrinology, Diabetes and Metabolism 43
  • Gastroenterology 12
Replace Alireza Bahrami with:
Alireza Bahrami Iran
В. Б. Гриневич Russia
Harshitha Shanmugam Italy
Elena-Daniela Grigorescu Romania
Kaiyin He China
Otilia Elena Frăsinariu Romania
Sabina Waniek Germany
Laura Rotundo United States
Isabel Gutiérrez‐Díaz Spain
Heloísa Balan Assalin Brazil
Natural Chu relative to Alireza Bahrami Iran Alireza Bahrami's profile →
Citations per field
00.5×4.2×
Alireza Bahrami · 1×
Citations per year

Countries citing papers authored by Natural Chu

Since Specialization
Citations

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

Fields of papers citing papers by Natural Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202069
2 201835
3 201828
4 202219
5 202214
6 202412
7 201710
8 20239
9 20229
10 20238
11 20216
12 20176
13 20236
14 20245
15 20234
16 20242
17 20212
18 20241
19 20251
20 20241

About Natural Chu

Natural Chu is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Nutrition and Dietetics and Surgery, having authored 24 papers that have together received 248 indexed citations. Recurring topics across this work include Diet and metabolism studies (10 papers), Diet, Metabolism, and Disease (5 papers), Gut microbiota and health (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Nutrition and Health in Aging (4 papers), Diabetes Management and Research (3 papers), Nutritional Studies and Diet (3 papers) and Gastrointestinal motility and disorders (3 papers). The work is most often cited by research in Physiology (111 citations), Hepatology (25 citations), Oncology (74 citations), Endocrinology, Diabetes and Metabolism (43 citations) and Gastroenterology (12 citations). Natural Chu has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Elaine Chow, Chu K Yao, Victoria P. Tan, Juliana C.N. Chan, James Fung, Ester Cerin, Sharron Leung, Ivy P. F. Leung, Duncan J. Macfarlane and Antoinette M. Lee. Their work appears in journals such as Journal of Clinical Gastroenterology, Frontiers in Endocrinology, Nutrients, Journal of Diabetes Investigation and Scientific Reports.

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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