Xiaopeng Ji

1.6k citations
75 papers · 1.1k · h-index 19

Impact in

Papers in

Xiaopeng Ji

69 papers receiving 1.1k citations

Peers

Xiaopeng Ji
Comparison fields: 5 of 124
  • Experimental and Cognitive Psychology 331
  • Nephrology 134
  • Endocrine and Autonomic Systems 36
  • Cognitive Neuroscience 86
  • Applied Psychology 20
Replace Xiaotian Liu with:
Xiaotian Liu China
Jeffrey H. William United States
Toshiki Ohta Japan
Jennifer Massa United States
Isaac Lewin Israel
Hongpeng Sun China
Peter John D. De Chavez United States
Lewis Carpenter United Kingdom
Gerben Hulsegge Netherlands
Julie P. Greeves United Kingdom
Xiaopeng Ji relative to Xiaotian Liu China Xiaotian Liu's profile →
Citations per field
00.5×4.2×
Xiaotian Liu · 1×
Citations per year

Countries citing papers authored by Xiaopeng Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopeng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018101
2 201673
3 202258
4 201650
5 201648
6 201941
7 201439
8 201535
9 201533
10 202133
11 202229
12 201727
13 202227
14 201926
15 201925
16 201925
17 202223
18 201820
19 201819
20 201918

About Xiaopeng Ji

Xiaopeng Ji is a scholar working on Experimental and Cognitive Psychology, Nephrology, General Health Professions, Public Health, Environmental and Occupational Health and Cognitive Neuroscience, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sleep and related disorders (24 papers), Gout, Hyperuricemia, Uric Acid (14 papers), Sleep and Wakefulness Research (4 papers), Cancer survivorship and care (3 papers), Physical Activity and Health (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Obesity, Physical Activity, Diet (3 papers) and Pain Management and Opioid Use (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (331 citations), Nephrology (134 citations), Endocrine and Autonomic Systems (36 citations), Cognitive Neuroscience (86 citations) and Applied Psychology (20 citations). Xiaopeng Ji has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Jianghong Liu, Naixue Cui, Jin Liu, Michael A. Grandner, Jennifer Saylor, Changgui Li, Junxin Li, Wonshik Chee, Eunice Chee and Eun‐Ok Im. Their work appears in journals such as Lara D. Veeken, SLEEP, World Journal of Pediatrics, CIN Computers Informatics Nursing and Nutrients.

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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