Wu Qu

9.2k citations
35 papers · 7.8k indexed · 3 hit papers · h-index 31

Wu Qu

35 papers receiving 7.7k citations

Hit Papers

Blockade of RAGE–amphoterin signalling suppresses tumour ...1.1k199920262008201750010001.5k

Peers

Wu Qu
Comparison fields: 5 of 117
  • Clinical Biochemistry 5.4k
  • Endocrinology, Diabetes and Metabolism 2.1k
  • Nephrology 664
  • Periodontics 309
  • Neurology 544
Replace M. Hofmann with:
M. Hofmann Germany
J Brett United States
Jean‐Luc Wautier France
Loredana Bucciarelli United States
Caifeng Fu United States
Helena Erlandsson Harris Sweden
Shingo Yamada Japan
Hunjoo Ha South Korea
Kenichi Shikata Japan
Yoshihiko Nishio Japan
Wu Qu relative to M. Hofmann Germany M. Hofmann's profile →
Citations per field
00.5×
M. Hofmann · 1×
Citations per year

Countries citing papers authored by Wu Qu

Since Specialization
Citations

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

Fields of papers citing papers by Wu Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Clinical analysis of 9 cases of diffuse panbronchiolitis
20122
2 201081
3 201037
4 200886
5 200816
6 2008120
7 200658
8 200676
9 2005185
10 200580
11 2005115
12 2004157
13 2003141
14 2003484
15
Glycation and diabetes: The RAGE connection
200241
16 2001359
17
Blockade of RAGE–amphoterin signalling suppresses tumour growth and metastasesbreakdown →
20001058
18 2000303
19
RAGE Mediates a Novel Proinflammatory Axisbreakdown →
19991582
20
N ε-(Carboxymethyl)Lysine Adducts of Proteins Are Ligands for Receptor for Advanced Glycation End Products That Activate Cell Signaling Pathways and Modulate Gene Expressionbreakdown →
1999763

About Wu Qu

Wu Qu is a scholar working on Clinical Biochemistry, Pathology and Forensic Medicine and Periodontics, having authored 35 papers that have together received 7.8k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (34 papers), S100 Proteins and Annexins (9 papers), Alcohol Consumption and Health Effects (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Acute Ischemic Stroke Management (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Cardiac Arrest and Resuscitation (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). The work is most often cited by research in Clinical Biochemistry (5.4k citations), Endocrinology, Diabetes and Metabolism (2.1k citations) and Nephrology (664 citations). Wu Qu has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Ann Marie Schmidt, Yan Lü, David M. Stern, Thomas Kislinger, M. Hofmann, Caifeng Fu, Shi Fang Yan, Loredana Bucciarelli, Akihiko Taguchi and Thoralf Wendt. Their work appears in journals such as Circulation, The FASEB Journal, Atherosclerosis, Journal of Biological Chemistry and American Journal Of Pathology.

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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