Xiaojin Yan

35 papers receiving 408 citations

Peers

Xiaojin Yan
Comparison fields: 5 of 109
  • Biological Psychiatry 22
  • Behavioral Neuroscience 17
  • Sensory Systems 23
  • Periodontics 13
  • Pharmacology 24
Replace Masumeh Ghazanfarpour with:
Masumeh Ghazanfarpour Iran
Irma E. Velázquez-Brizuela Mexico
Asma Salari-Moghaddam Iran
Li‐Shiun Chen United States
Karma Pearce Australia
Qian Su China
Wenjun Sun China
Adem Doğaner Türkiye
Omar Gammoh Jordan
Ioannis N. Sergentanis Greece
Xiaojin Yan relative to Masumeh Ghazanfarpour Iran Masumeh Ghazanfarpour's profile →
Citations per field
00.5×4.3×
Masumeh Ghazanfarpour · 1×
Citations per year

Countries citing papers authored by Xiaojin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201743
2 202136
3 201736
4 202032
5 201930
6 201625
7 202022
8 202322
9 202216
10 202313
11 202113
12 202013
13 202311
14 201610
15 202010
16 20219
17 20178
18 20236
19 20226
20 20206

About Xiaojin Yan

Xiaojin Yan is a scholar working on Physiology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, General Health Professions and Nutrition and Dietetics, having authored 38 papers that have together received 413 indexed citations. Recurring topics across this work include Birth, Development, and Health (5 papers), Child Nutrition and Water Access (4 papers), Obesity, Physical Activity, Diet (4 papers), Physical Activity and Health (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Nutrition and Health in Aging (3 papers), Adolescent Sexual and Reproductive Health (2 papers) and Demographic Trends and Gender Preferences (2 papers). The work is most often cited by research in Biological Psychiatry (22 citations), Behavioral Neuroscience (17 citations), Sensory Systems (23 citations), Periodontics (13 citations) and Pharmacology (24 citations). Xiaojin Yan has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Yi Song, Jingfei Jiang, Dongming Xing, Zhiyi Yuan, Jun Ma, Xuan Yu, Lijun Du, Dongmei Luo, Lei Fan and Jingshu Zhang. Their work appears in journals such as Scientific Reports, The journal of nutrition health & aging, Environment International, Chinese Journal of Natural Medicines and Maternal and Child Nutrition.

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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