Xinxiu Ren

404 citations
15 papers · 309 · h-index 11

Impact in

Papers in

    • Gut microbiota and health 3
    • Peroxisome Proliferator-Activated Receptors 2
    • Metabolism, Diabetes, and Cancer 1
    • Adipokines, Inflammation, and Metabolic Diseases 4

Xinxiu Ren

15 papers receiving 306 citations

Peers

Xinxiu Ren
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 56
  • Biochemistry 19
  • Complementary and alternative medicine 25
  • Biological Psychiatry 7
  • Food Science 50
Replace Zuomin Hu with:
Zuomin Hu China
Dandan Cui China
Yuling Yin China
Alessia Parroni Italy
Lida Han China
Jin‐Pyo An South Korea
Asma Aktar Bangladesh
Zedong Xiang China
Hye‐Jeong Yang South Korea
Rengin Reis Türkiye
Xinxiu Ren relative to Zuomin Hu China Zuomin Hu's profile →
Citations per field
00.5×1.5×2.5×
Zuomin Hu · 1×
Citations per year

Countries citing papers authored by Xinxiu Ren

Since Specialization
Citations

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

Fields of papers citing papers by Xinxiu Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202351
2 202245
3 202338
4 202129
5 202228
6 202223
7 202019
8 202216
9 202214
10 201813
11 202312
12 20239
13 20216
14 20244
15 20252

About Xinxiu Ren

Xinxiu Ren is a scholar working on Molecular Biology, Epidemiology, Pharmacology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 15 papers that have together received 309 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Natural Antidiabetic Agents Studies (3 papers), Gut microbiota and health (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Flavonoids in Medical Research (2 papers), Stress Responses and Cortisol (2 papers), Plant-Microbe Interactions and Immunity (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (56 citations), Biochemistry (19 citations), Complementary and alternative medicine (25 citations), Biological Psychiatry (7 citations) and Food Science (50 citations). Xinxiu Ren has collaborated with scholars based in China and Japan. Frequent co-authors include Zhilong Xiu, Yuesheng Dong, Yan Xing, Fan Yang, Xuan Shi, Yinbo Wang, Danyang Zhang, Lingyun Jia, Xiaorong Gao and Qiang Peng. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Natural Products and Bioprospecting, Phytomedicine, BMC Genomics 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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