Qi Yu

33 papers receiving 1.6k citations

Hit Papers

An unrestrained proinflammatory M1 macrophage population induced by iron impairs wound healing in humans and mice 2011 · 887 citations
8872011202620162021250500750

Peers

Qi Yu
Comparison fields: 5 of 123
  • Rehabilitation 387
  • Genetics 335
  • Occupational Therapy 84
  • Immunology 411
  • Biomaterials 150
Replace Jun Asai with:
Jun Asai Japan
Lisa Menegazzo Italy
Marjo M. P. C. Donners Netherlands
Seema Dangwal Germany
Basak Icli United States
Yu‐Wen Su China
A Oikarinen Finland
Stefan Beckert Germany
Yaoxiang Sun China
Claes Lundberg Sweden
Qi Yu relative to Jun Asai Japan Jun Asai's profile →
Citations per field
00.5×1.5×
Jun Asai · 1×
Citations per year

Countries citing papers authored by Qi Yu

Since Specialization
Citations

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

Fields of papers citing papers by Qi Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An unrestrained proinflammatory M1 macrophage population induced by iron impairs wound healing in humans and mice
Hit paper breakdown →
2011887
2 2013196
3 2016126
4 202268
5 202150
6 202137
7 201934
8 201834
9 202128
10 202020
11 202420
12 202120
13 201918
14 202316
15 202311
16 20236
17
Re-expression of p16 gene in the myeloma cell line U266 induced by synergy of sodium butyrate and 5-Aza-2'-deoxycytidine.
20026
18 20225
19 20244
20 20214

About Qi Yu

Qi Yu is a scholar working on Rehabilitation, Pathology and Forensic Medicine, Rheumatology, Hepatology and Neurology, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wound Healing and Treatments (4 papers), Spinal Cord Injury Research (3 papers), Systemic Lupus Erythematosus Research (3 papers), Mesenchymal stem cell research (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cancer-related Molecular Pathways (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Rehabilitation (387 citations), Genetics (335 citations), Occupational Therapy (84 citations), Immunology (411 citations) and Biomaterials (150 citations). Qi Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Meinhard Wlaschek, Anca Sindrilaru, Karin Scharffetter‐­Kochanek, Susanne Schatz, Corina Baican, Cord Sunderkötter, Johannes M. Weiss, Adelheid Hainzl, Stefan Wieschalka and Thorsten Peters. Their work appears in journals such as Annals of the Rheumatic Diseases, EClinicalMedicine, PLoS ONE, Frontiers in Immunology and Journal of Investigative Dermatology.

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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