Xiang Gao

3.3k citations
105 papers · 2.6k · h-index 31

Impact in

Papers in

    • Protein Hydrolysis and Bioactive Peptides 9
    • Gut microbiota and health 6
    • Diet and metabolism studies 10
    • Adipose Tissue and Metabolism 9

Xiang Gao

104 papers receiving 2.5k citations

Peers

Xiang Gao
Comparison fields: 5 of 126
  • Biological Psychiatry 67
  • Physiology 614
  • Nutrition and Dietetics 297
  • Molecular Biology 1.0k
  • Aquatic Science 107
Replace Ilaria Bellezza with:
Ilaria Bellezza Italy
Zhipeng Li China
Yulan Liu China
Janna A. van Diepen Netherlands
Ki Wung Chung South Korea
Ryoichi Yamaji Japan
Qing Zhang China
Liang Peng China
İbrahim Hanifi Özercan Türkiye
Bonggi Lee South Korea
Xiang Gao relative to Ilaria Bellezza Italy Ilaria Bellezza's profile →
Citations per field
00.5×1.6×
Ilaria Bellezza · 1×
Citations per year

Countries citing papers authored by Xiang Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014304
2 2016124
3 201490
4 202184
5 201672
6 201862
7 201557
8 201655
9 201654
10 202053
11 201752
12 201651
13 201950
14 201948
15 202248
16 201948
17 201745
18 202143
19 201840
20 201939

About Xiang Gao

Xiang Gao is a scholar working on Molecular Biology, Physiology, Nutrition and Dietetics, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 105 papers that have together received 2.6k indexed citations. Recurring topics across this work include Diet and metabolism studies (10 papers), Adipose Tissue and Metabolism (9 papers), Protein Hydrolysis and Bioactive Peptides (9 papers), Liver Disease Diagnosis and Treatment (7 papers), Diet, Metabolism, and Disease (7 papers), Gut microbiota and health (6 papers), Folate and B Vitamins Research (6 papers) and Fatty Acid Research and Health (6 papers). The work is most often cited by research in Biological Psychiatry (67 citations), Physiology (614 citations), Nutrition and Dietetics (297 citations), Molecular Biology (1.0k citations) and Aquatic Science (107 citations). Xiang Gao has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Changhu Xue, Guang Sun, Jie Xu, Yuming Wang, Yong Xue, Edward Randell, Xiaofang Liu, Yongbo Wang, Duo Li and Yuxi Wei. Their work appears in journals such as Food & Function, PLoS ONE, Nutrients, Journal of Functional Foods and Journal of Agricultural and Food Chemistry.

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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