Xin Pi

28 papers receiving 439 citations

Peers

Xin Pi
Comparison fields: 5 of 87
  • Health, Toxicology and Mutagenesis 130
  • Anesthesiology and Pain Medicine 37
  • Geochemistry and Petrology 34
  • Nutrition and Dietetics 69
  • Critical Care and Intensive Care Medicine 20
Replace Xiaoli Ge with:
Xiaoli Ge China
Changchun Hou China
J Stetkiewicz Poland
Michael Shannon United States
Trent R. Lewis United States
Ph. Hantson Belgium
Priscila Rossi de Batista Brazil
Douglas Riva Brazil
S K Verma India
Jihye Lee South Korea
Xin Pi relative to Xiaoli Ge China Xiaoli Ge's profile →
Citations per field
00.5×12.3×
Xiaoli Ge · 1×
Citations per year

Countries citing papers authored by Xin Pi

Since Specialization
Citations

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

Fields of papers citing papers by Xin Pi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202064
2 201633
3 201827
4 202225
5 201525
6 201123
7 201623
8 201822
9 201821
10 202019
11 201918
12 201517
13 201716
14
Low tidal volume with PEEP and recruitment expedite the recovery of pulmonary function.
201515
15 201515
16 201615
17 201813
18 202010
19 20218
20 20218

About Xin Pi

Xin Pi is a scholar working on Health, Toxicology and Mutagenesis, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Rheumatology, having authored 32 papers that have together received 449 indexed citations. Recurring topics across this work include Cleft Lip and Palate Research (6 papers), Craniofacial Disorders and Treatments (5 papers), Respiratory Support and Mechanisms (5 papers), Folate and B Vitamins Research (5 papers), Advanced Chemical Sensor Technologies (4 papers), Urological Disorders and Treatments (4 papers), Heavy Metal Exposure and Toxicity (4 papers) and Olfactory and Sensory Function Studies (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (130 citations), Anesthesiology and Pain Medicine (37 citations), Geochemistry and Petrology (34 citations), Nutrition and Dietetics (69 citations) and Critical Care and Intensive Care Medicine (20 citations). Xin Pi has collaborated with scholars based in China, Romania and United States. Frequent co-authors include Linlin Wang, Aiguo Ren, Lei Jin, Zhiwen Li, Jufen Liu, Changsong Wang, Shengju Yin, Chengrong Wang, Lei Guo and Enyou Li. Their work appears in journals such as Scientific Reports, Frontiers in Psychiatry, Journal of Breath Research, The Science of The Total Environment and Obesity Reviews.

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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