Qing‐Yu He

63.4k citations
397 papers · 39.0k indexed · 7 hit papers · h-index 56

Impact in

  • Cancer Research top 0.05%
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing

Papers in

Qing‐Yu He

382 papers receiving 38.7k citations

Hit Papers

Advances in targeted therapy for esophageal cancer 2020 · 324 citations
32420062026201220195.0k10.0k15.0k20.0k

Peers

Qing‐Yu He
Comparison fields: 5 of 194
  • Cancer Research 7.5k
  • Molecular Biology 21.6k
  • Immunology 5.3k
  • Oncology 5.3k
  • Pulmonary and Respiratory Medicine 5.8k
Replace Matthew E. Ritchie with:
Matthew E. Ritchie Australia
Yifang Hu Australia
Jian Zhang China
Jian Wang China
Gerry Melino Italy
Ying Wang China
Wei Shi Australia
Jerrold M. Ward United States
Da Wei Huang United States
Qing‐Yu He relative to Matthew E. Ritchie Australia Matthew E. Ritchie's profile →
Citations per field
00.5×1.6×
Matthew E. Ritchie · 1×
Citations per year

Countries citing papers authored by Qing‐Yu He

Since Specialization
Citations

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

Fields of papers citing papers by Qing‐Yu He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing‐Yu He. 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 Qing‐Yu He. The network helps show where Qing‐Yu He may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20255
3 20250
4 20244
5 20248
6 20245
7 20247
8 202225
9 20228
10 202214
11 20217
12 20212
13
Advances in targeted therapy for esophageal cancer
Hit paper breakdown →
2020324
14 20203
15 201916
16 20187
17 201828
18 201465
19 201011
20 200587

About Qing‐Yu He

Qing‐Yu He is a scholar working on Molecular Biology, Molecular Medicine, Cancer Research, Hematology and Oncology, having authored 397 papers that have together received 39.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (32 papers), RNA modifications and cancer (31 papers), Iron Metabolism and Disorders (25 papers), Ubiquitin and proteasome pathways (21 papers), Trace Elements in Health (20 papers), RNA and protein synthesis mechanisms (17 papers), Streptococcal Infections and Treatments (17 papers) and Cancer-related molecular mechanisms research (17 papers). The work is most often cited by research in Cancer Research (7.5k citations), Molecular Biology (21.6k citations), Immunology (5.3k citations), Oncology (5.3k citations) and Pulmonary and Respiratory Medicine (5.8k citations). Qing‐Yu He has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Guangchuang Yu, Yanyan Han, Jen‐Fu Chiu, Hongzhe Sun, Chi‐Ming Che, Chun‐Nam Lok, Rong Chen, Wing‐Yiu Yu, Xuesong Sun and Guang‐Rong Yan. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, Biochemistry, Biochemical Journal and Journal of Proteomics.

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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