Hong Qu

2.7k citations
91 papers · 1.6k · h-index 21

Impact in

Papers in

    • dental development and anomalies 7
    • Bioinformatics and Genomic Networks 7
    • Epigenetics and DNA Methylation 6
    • RNA modifications and cancer 5

Hong Qu

84 papers receiving 1.6k citations

Peers

Hong Qu
Comparison fields: 5 of 115
  • Immunology and Allergy 124
  • Oral Surgery 122
  • Molecular Biology 933
  • Cancer Research 162
  • Pharmacology 146
Replace Ottavia Barbieri with:
Ottavia Barbieri Italy
Chang‐Yeol Yeo South Korea
Paola Narducci Italy
Renato Bareggi Italy
Hongyu Wang China
Heather M. Bond Italy
Dan Liang United States
Marella Maroder Italy
Gwenn M. Hansen United States
Xiaolin Li China
Hong Qu relative to Ottavia Barbieri Italy Ottavia Barbieri's profile →
Citations per field
00.5×3.3×
Ottavia Barbieri · 1×
Citations per year

Countries citing papers authored by Hong Qu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015112
2 2014111
3 2006106
4 201598
5 200983
6 201183
7 200875
8 201358
9 201657
10 201653
11 200451
12 201145
13 201033
14 200728
15 201324
16 201424
17 201623
18 201023
19 201622
20 201421

About Hong Qu

Hong Qu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 91 papers that have together received 1.6k indexed citations. Recurring topics across this work include dental development and anomalies (7 papers), Bioinformatics and Genomic Networks (7 papers), Epigenetics and DNA Methylation (6 papers), Cell Adhesion Molecules Research (6 papers), Cancer-related molecular mechanisms research (5 papers), Cancer Genomics and Diagnostics (5 papers), RNA modifications and cancer (5 papers) and Renal Diseases and Glomerulopathies (4 papers). The work is most often cited by research in Immunology and Allergy (124 citations), Oral Surgery (122 citations), Molecular Biology (933 citations), Cancer Research (162 citations) and Pharmacology (146 citations). Hong Qu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Min Zhao, Yining Liu, Lei Kong, Dong Han, Hailan Feng, Qing‐Rong Liu, Chuanyue Wu, Hua Wu, Shujuan Song and Beihai Jiang. Their work appears in journals such as BMC Genomics, PLoS ONE, American Journal of Clinical Pathology, Scientific Reports and Cell Death and Disease.

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.

Explore authors with similar magnitude of impact