Zhonghua Qi

4.0k citations
43 papers · 2.3k indexed · h-index 25
Topics
Chronic Kidney Disease and Diabetes (10 papers)Inflammatory mediators and NSAID effects (9 papers)Renin-Angiotensin System Studies (9 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Zhonghua Qi

43 papers receiving 2.3k citations

Peers

Zhonghua Qi
Comparison fields: 5 of 112
  • Molecular Biology 716
  • Pharmacology 584
  • Endocrinology, Diabetes and Metabolism 490
  • Nephrology 478
  • Biochemistry 455
Replace Ming‐Zhi Zhang with:
Ming‐Zhi Zhang United States
Ahmed A. Elmarakby United States
Prabal K. Chatterjee United Kingdom
Huifang Cheng United States
Radko Komers United States
Linda Davis United States
Suwan Wang United States
Kazunori Utsunomiya Japan
Hirofumi Hitomi Japan
Reyadh Redha United States
Zhonghua Qi relative to Ming‐Zhi Zhang United States Ming‐Zhi Zhang's profile →
Citations per field
00.5×1.5×
Ming‐Zhi Zhang · 1×
Citations per year

Countries citing papers authored by Zhonghua Qi

Since Specialization
Citations

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

Fields of papers citing papers by Zhonghua Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhonghua Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhonghua Qi. A scholar is included among the top collaborators of Zhonghua Qi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhonghua Qi. Zhonghua Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2 17
3 12
4 3
5 36
6 29
7 33
8
Correlation analysis between single nucleotide polymorphisms of fibroblast growth factor 20 (FGF20) gene and Parkinson disease
2
9 60
10 21
11 89
12 6
13 9
14 40
15 12
16 29
17 290
18 13
19 176
20 216

About Zhonghua Qi

Zhonghua Qi is a scholar working on Nephrology, Biochemistry and Clinical Biochemistry, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (10 papers), Inflammatory mediators and NSAID effects (9 papers) and Renin-Angiotensin System Studies (9 papers). The work is most often cited by research in Nephrology (478 citations), Biochemistry (455 citations) and Pharmacology (584 citations). Zhonghua Qi has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Matthew D. Breyer, Chuan‐Ming Hao, Reyadh Redha, Jason D. Morrow, Agnes B. Fogo, Raymond C. Harris, Jianping Jin, Richard Breyer, Robert Langenbach and Hiroki Fujita. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Diabetes.

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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