Xiaolin Peng

1.1k citations
63 papers · 897 · h-index 18

Impact in

Papers in

Xiaolin Peng

61 papers receiving 882 citations

Peers

Xiaolin Peng
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 189
  • Biochemistry 55
  • Rheumatology 97
  • Health, Toxicology and Mutagenesis 72
  • Nutrition and Dietetics 58
Replace Ramu Adela with:
Ramu Adela India
Seong‐Hee Ko South Korea
Marisa Passarelli Brazil
Surapon Tangvarasittichai Thailand
Mengjun Hou China
Yang Zheng China
İrfan Değirmenci Türkiye
Guanliang Chen Japan
Hatem A. Salem Egypt
Annamaria Prioletta Italy
Xiaolin Peng relative to Ramu Adela India Ramu Adela's profile →
Citations per field
00.5×2×3.4×
Ramu Adela · 1×
Citations per year

Countries citing papers authored by Xiaolin Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017111
2 201580
3 202048
4 202033
5 201532
6 201931
7 202228
8 202226
9 202023
10 202021
11 202021
12 202020
13 202020
14 201519
15 201919
16 202019
17 202018
18 202118
19 202117
20 202117

About Xiaolin Peng

Xiaolin Peng is a scholar working on Endocrinology, Diabetes and Metabolism, Rheumatology, Nephrology, Biochemistry and Nutrition and Dietetics, having authored 63 papers that have together received 897 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Folate and B Vitamins Research (8 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Colorectal Cancer Screening and Detection (5 papers), Cardiovascular Health and Disease Prevention (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Natural Antidiabetic Agents Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (189 citations), Biochemistry (55 citations), Rheumatology (97 citations), Health, Toxicology and Mutagenesis (72 citations) and Nutrition and Dietetics (58 citations). Xiaolin Peng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Changyi Wang, Jianping Ma, Liegang Liu, Hongen Chen, Liping Hao, Shan Xu, Run‐Ling Wang, Dong Wang, Xiaotong Song and Peng Yu. Their work appears in journals such as Lipids in Health and Disease, Environment International, European Journal of Nutrition, Journal of Craniofacial Surgery and BMJ Open.

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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