M. Xiang

416 citations
24 papers · 309 · h-index 9

Impact in

Papers in

M. Xiang

23 papers receiving 303 citations

Peers

M. Xiang
Comparison fields: 5 of 72
  • Nutrition and Dietetics 222
  • Pediatrics, Perinatology and Child Health 79
  • Endocrine and Autonomic Systems 20
  • Biochemistry 12
  • Clinical Biochemistry 11
Replace Vitoon Prasongwattana with:
Vitoon Prasongwattana Thailand
Karina González‐Becerra Mexico
Anne Morise France
Pedro S.P. Huot Canada
Erfaneh Barati Iran
Thea Lousen Denmark
Ashley C. Patterson Canada
Deborah Bujnowski United States
Laure Gabert France
P. Singer Israel
M. Xiang relative to Vitoon Prasongwattana Thailand Vitoon Prasongwattana's profile →
Citations per field
00.5×
Vitoon Prasongwattana · 1×
Citations per year

Countries citing papers authored by M. Xiang

Since Specialization
Citations

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

Fields of papers citing papers by M. Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Xiang, 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. Xiang Line = papers co-authored together M. Xiang 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 200053
2 199948
3 200047
4 199933
5 200624
6 199924
7 202313
8 200712
9 202411
10 20248
11 20086
12 20105
13 20145
14 20244
15 20114
16 20252
17 20252
18 20242
19 20252
20 20111

About M. Xiang

M. Xiang is a scholar working on Nutrition and Dietetics, Pediatrics, Perinatology and Child Health, Physiology, Food Science and Surgery, having authored 24 papers that have together received 309 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (7 papers), Birth, Development, and Health (5 papers), Food composition and properties (4 papers), Infant Nutrition and Health (3 papers), Adipose Tissue and Metabolism (3 papers), Proteins in Food Systems (2 papers), Trace Elements in Health (2 papers) and Phytoestrogen effects and research (2 papers). The work is most often cited by research in Nutrition and Dietetics (222 citations), Pediatrics, Perinatology and Child Health (79 citations), Endocrine and Autonomic Systems (20 citations), Biochemistry (12 citations) and Clinical Biochemistry (11 citations). M. Xiang has collaborated with scholars based in China, United Kingdom and Sweden. Frequent co-authors include Rolf Zetterström, Sha Lei, Mats Blennow, Gösta Alfvén, L. S. Harbige, Hua Ai, Xiaoyi Li, Mohammed Atiqur Rahman, Siming Zhao and Binjia Zhang. Their work appears in journals such as Acta Paediatrica, Proceedings of The Nutrition Society, Food Hydrocolloids, Annals of Nutrition and Metabolism and Applied Catalysis B: Environmental.

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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