Yi Pan

1.4k citations
51 papers · 977 · h-index 17

Impact in

Papers in

Yi Pan

48 papers receiving 952 citations

Peers

Yi Pan
Comparison fields: 5 of 120
  • Otorhinolaryngology 57
  • Periodontics 40
  • Health, Toxicology and Mutagenesis 124
  • Endocrinology, Diabetes and Metabolism 139
  • Critical Care and Intensive Care Medicine 36
Replace Vasudeva Guddattu with:
Vasudeva Guddattu India
Carol Chelimo New Zealand
S K Jindal India
John J. Lefante United States
Emma Thomas‐Jones United Kingdom
Zubair Kabir Ireland
Koorosh Etemad Iran
Rebecca Normansell United Kingdom
Andrew McIvor Canada
Ricard Tresserras Spain
Yi Pan relative to Vasudeva Guddattu India Vasudeva Guddattu's profile →
Citations per field
00.5×8.3×
Vasudeva Guddattu · 1×
Citations per year

Countries citing papers authored by Yi Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013136
2 200882
3 201370
4 202157
5 201451
6 200949
7 201546
8 200943
9 201242
10 201331
11 201428
12 200927
13 200824
14 201324
15 201221
16 200720
17 201317
18 201315
19 201715
20 201314

About Yi Pan

Yi Pan is a scholar working on Infectious Diseases, Statistics, Probability and Uncertainty, Statistics and Probability, Epidemiology and Surgery, having authored 51 papers that have together received 977 indexed citations. Recurring topics across this work include Reliability and Agreement in Measurement (8 papers), HIV/AIDS Research and Interventions (7 papers), Hemodynamic Monitoring and Therapy (5 papers), Meta-analysis and systematic reviews (5 papers), HIV, Drug Use, Sexual Risk (4 papers), Statistical Methods and Bayesian Inference (4 papers), Viral gastroenteritis research and epidemiology (3 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Otorhinolaryngology (57 citations), Periodontics (40 citations), Health, Toxicology and Mutagenesis (124 citations), Endocrinology, Diabetes and Metabolism (139 citations) and Critical Care and Intensive Care Medicine (36 citations). Yi Pan has collaborated with scholars based in United States, Bulgaria and Uganda. Frequent co-authors include Kathleen L. Caldwell, Mary Ellen Mortensen, Ruosha Li, Amir Makhmudov, Jack Moye, Lori Merrill, Susan Müller, Kirk A. Easley, Michael Haber and Robert L. Jones. Their work appears in journals such as Statistics in Medicine, Viruses, Computer Methods and Programs in Biomedicine, Journal of neurosurgery and Biometrical Journal.

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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