Jun Pei

1.4k citations
67 papers · 920 · 1 hit paper · h-index 14

Impact in

Papers in

Jun Pei

56 papers receiving 909 citations

Jun Pei's Hit Papers

Research progress of glutathione peroxidase family (GPX) in redoxidation 2023 · 372 citations
3720+1+2Years since publication100200300

Peers

Jun Pei
Comparison fields: 5 of 125
  • Periodontics 47
  • Nutrition and Dietetics 98
  • Cancer Research 77
  • Pulmonary and Respiratory Medicine 159
  • Geriatrics and Gerontology 16
Replace Ju‐Hee Kang with:
Ju‐Hee Kang South Korea
Eswar Shankar United States
Melita Vidaković Serbia
Haitao Lu China
Huan Zhao China
Junjun Shen China
Rufeng Ma China
Wafaa R. Mohamed Egypt
Shanshan Jia China
Svetlana Dinić Serbia
Jun Pei relative to Ju‐Hee Kang South Korea Ju‐Hee Kang's profile →
Citations per field
00.5×2×3.5×
Ju‐Hee Kang · 1×
Citations per year

Countries citing papers authored by Jun Pei

Since Specialization
Citations

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

Fields of papers citing papers by Jun Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Research progress of glutathione peroxidase family (GPX) in redoxidation
Hit paper breakdown →
2023372
2 2017102
3 202060
4 201047
5 201625
6 202423
7 201317
8 201815
9 202315
10 201215
11 202414
12 201414
13 202013
14 202013
15 201912
16 201712
17 201811
18 201711
19 202210
20 202110

About Jun Pei

Jun Pei is a scholar working on Molecular Biology, Nutrition and Dietetics, Computational Theory and Mathematics, Pulmonary and Respiratory Medicine and Genetics, having authored 67 papers that have together received 920 indexed citations. Recurring topics across this work include Selenium in Biological Systems (7 papers), Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Machine Learning in Bioinformatics (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Periodontics (47 citations), Nutrition and Dietetics (98 citations), Cancer Research (77 citations), Pulmonary and Respiratory Medicine (159 citations) and Geriatrics and Gerontology (16 citations). Jun Pei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guanghui Wei, Xingyu Pan, Baohui Han, Jing Liu, Youhua Xie, Kenneth M. Merz, Meili Ma, Tianqing Chu, Xiping Feng and Fēi Li. Their work appears in journals such as Transplant Immunology, International Immunopharmacology, Journal of Chemical Information and Modeling, Journal of Chemical Theory and Computation and Molecular and Cellular Biochemistry.

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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