Wei Qi

1.6k citations
49 papers · 986 · h-index 19

Impact in

Papers in

    • Viral-associated cancers and disorders 6
    • CAR-T cell therapy research 5
    • Inflammatory Biomarkers in Disease Prognosis 2
    • Lymphoma Diagnosis and Treatment 10

Wei Qi

46 papers receiving 965 citations

Peers

Wei Qi
Comparison fields: 5 of 115
  • Surfaces, Coatings and Films 102
  • Molecular Medicine 66
  • Pathology and Forensic Medicine 174
  • Oncology 254
  • Hematology 82
Replace Dominique Dumas with:
Dominique Dumas France
Manoj Maniar United States
Yangzhe Wu China
Jenny Ho Australia
Fang Nie China
Daisuke Asai Japan
Enrico Conte Italy
Thomas A. Barber United States
Janet L. Markman United States
Heather H. Gustafson United States
Wei Qi relative to Dominique Dumas France Dominique Dumas's profile →
Citations per field
00.5×4.8×
Dominique Dumas · 1×
Citations per year

Countries citing papers authored by Wei Qi

Since Specialization
Citations

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

Fields of papers citing papers by Wei Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009152
2 200168
3 202049
4 202046
5 200844
6 201542
7 200841
8 201740
9 200737
10 200435
11 201733
12 201633
13 201632
14 202030
15 202028
16 202025
17
TECHNIQUE OF ULTRASONIC TELEMETRY FOR CHINESE STURGEON, ACIPENSER SINENSIS, IN YANGTZE RIVER
199821
18 201719
19 200219
20 200118

About Wei Qi

Wei Qi is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Pharmacology and Hematology, having authored 49 papers that have together received 986 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Microbial Natural Products and Biosynthesis (6 papers), Viral-associated cancers and disorders (6 papers), Acute Myeloid Leukemia Research (5 papers), CAR-T cell therapy research (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (3 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (102 citations), Molecular Medicine (66 citations), Pathology and Forensic Medicine (174 citations), Oncology (254 citations) and Hematology (82 citations). Wei Qi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xuehai Yan, Yue Cui, Junbai Li, Anhe Wang, Jinbo Fei, Loris McGavran, Stephen P. Hunger, Xiayuan Liang, Fuhang Song and Lixin Zhang. Their work appears in journals such as Blood, American Journal of Clinical Pathology, The Science of The Total Environment, International Journal of Hematology and Scientific Reports.

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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