Qi Mei

4.8k citations
139 papers · 3.3k indexed · 4 hit papers · h-index 30

Impact in

Papers in

Qi Mei

130 papers receiving 3.3k citations

Hit Papers

HDAC2‐Mediated METTL3 Delactylation Promotes DNA Damage Repair and Chemotherapy Resistance in Triple‐Negative Breast Cancer 2025 · 19 citations
19202220262023202450100150200250

Peers

Qi Mei
Comparison fields: 5 of 148
  • Cancer Research 473
  • Otorhinolaryngology 134
  • Oncology 803
  • Immunology 495
  • Molecular Biology 1.4k
Replace Fan Zhang with:
Fan Zhang China
Peter Obrist Austria
Huan Li China
Hideaki Takahashi Japan
Hong Liu China
Donald B. Bloch United States
Hongmei Zhou China
Liantao Li China
Haidong Huang China
Aurora Astudillo Spain
Qi Mei relative to Fan Zhang China Fan Zhang's profile →
Citations per field
00.5×1.7×
Fan Zhang · 1×
Citations per year

Countries citing papers authored by Qi Mei

Since Specialization
Citations

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

Fields of papers citing papers by Qi Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20241
4 20221
5 20226
6 202113
7 202022
8 20200
9 20181
10 201599
11 201512
12 20148
13 20139
14 201338
15 201246
16
An Exploration of Children's Piano Enlightenment Education
20111
17 20112
18
Study of the combination of allicin and amphotericin B inhibiting hyphae formation of Candida albicans in vitro
20101
19 20063
20 20025

About Qi Mei

Qi Mei is a scholar working on Otorhinolaryngology, Oncology, Immunology and Allergy, Health Informatics and Cancer Research, having authored 139 papers that have together received 3.3k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (10 papers), Lung Cancer Research Studies (10 papers), Neuropeptides and Animal Physiology (9 papers), RNA modifications and cancer (8 papers), Pancreatic function and diabetes (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), COVID-19 Clinical Research Studies (7 papers) and Cell Adhesion Molecules Research (6 papers). The work is most often cited by research in Cancer Research (473 citations), Otorhinolaryngology (134 citations), Oncology (803 citations), Immunology (495 citations) and Molecular Biology (1.4k citations). Qi Mei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Kongming Wu, Ming Yi, Yuze Wu, Gerald J. Taborsky, Mengke Niu, Thomas O. Mundinger, Guoxian Long, Mark V. Dahl, Sergei A. Grando and David A. Kist. Their work appears in journals such as Journal of Clinical Oncology, Diabetes, Frontiers in Immunology, OncoTargets and Therapy and Journal of Hematology & Oncology.

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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