Chong Wei

2.4k citations
85 papers · 1.1k · h-index 18

Impact in

Papers in

Chong Wei

69 papers receiving 1.1k citations

Peers

Chong Wei
Comparison fields: 5 of 110
  • Immunology 300
  • Critical Care and Intensive Care Medicine 71
  • Endocrinology, Diabetes and Metabolism 193
  • Pathology and Forensic Medicine 170
  • Genetics 59
Replace Jamie R. Privratsky with:
Jamie R. Privratsky United States
Cristiano Feijó Andrade Brazil
Karla Kurrelmeyer United States
Massimo Maccherini Italy
Stefan Kastl Austria
Angela L. Bergeron United States
Mark P.V. Begieneman Netherlands
Angela M. Carter United Kingdom
Yan Xue China
Ryuji Fukazawa Japan
Chong Wei relative to Jamie R. Privratsky United States Jamie R. Privratsky's profile →
Citations per field
00.5×1.5×2.2×
Jamie R. Privratsky · 1×
Citations per year

Countries citing papers authored by Chong Wei

Since Specialization
Citations

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

Fields of papers citing papers by Chong Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008134
2 201479
3 201175
4 201174
5 201771
6 201050
7 201147
8 201342
9 202140
10 201137
11 200735
12 201331
13 202130
14 201228
15 202227
16 200525
17 201224
18 202120
19 201217
20 202314

About Chong Wei

Chong Wei is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Oncology, Immunology and Neurology, having authored 85 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (31 papers), CNS Lymphoma Diagnosis and Treatment (12 papers), Histone Deacetylase Inhibitors Research (11 papers), Viral-associated cancers and disorders (9 papers), Chronic Lymphocytic Leukemia Research (8 papers), Thyroid Disorders and Treatments (8 papers), Immune Cell Function and Interaction (6 papers) and Cutaneous lymphoproliferative disorders research (5 papers). The work is most often cited by research in Immunology (300 citations), Critical Care and Intensive Care Medicine (71 citations), Endocrinology, Diabetes and Metabolism (193 citations), Pathology and Forensic Medicine (170 citations) and Genetics (59 citations). Chong Wei has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hasan B. Alam, Baoling Liu, George C. Velmahos, Zhengcai Liu, Yongqing Li, Marc DeMoya, Guang Jin, Daobin Zhou, Ting C. Zhao and Jennifer Lu. Their work appears in journals such as Surgery, Blood, Frontiers in Immunology, Annals of Hematology and Shock.

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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