Qi Xiang

4.8k citations
131 papers · 3.6k indexed · 2 hit papers · h-index 33

Impact in

Papers in

Qi Xiang

122 papers receiving 3.5k citations

Hit Papers

The association between triglyceride-glucose index and its combination with obesity indicators and cardiovascular disease: NHANES 2003–2018 2024 · 268 citations
2682012202620162021100200300

Peers

Qi Xiang
Comparison fields: 5 of 145
  • Microbiology 293
  • Immunology 558
  • Hepatology 201
  • Cancer Research 380
  • Pharmacology 411
Replace Christophe Bonny with:
Christophe Bonny Switzerland
Graeme S. Cottrell United Kingdom
Xiang Xu China
Changhong Li China
Markus Böhm Germany
Yunfeng Liu China
Nelly Frossard France
Wei‐Chien Huang Taiwan
Yingying Le China
Reinoud Gosens Netherlands
Qi Xiang relative to Christophe Bonny Switzerland Christophe Bonny's profile →
Citations per field
00.5×6.4×
Christophe Bonny · 1×
Citations per year

Countries citing papers authored by Qi Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Qi Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20250
5 20244
6 20246
7 20240
8 20240
9 20230
10 20236
11 202311
12 20234
13 20233
14 20206
15 20182
16 20183
17 201433
18 201452
19 201415
20 201436

About Qi Xiang

Qi Xiang is a scholar working on Rehabilitation, Reproductive Medicine, Immunology and Allergy, Endocrine and Autonomic Systems and Cell Biology, having authored 131 papers that have together received 3.6k indexed citations. Recurring topics across this work include Sperm and Testicular Function (9 papers), Wound Healing and Treatments (8 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (7 papers), Apelin-related biomedical research (7 papers), Fibroblast Growth Factor Research (7 papers), Extracellular vesicles in disease (7 papers), Cell Adhesion Molecules Research (6 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Microbiology (293 citations), Immunology (558 citations), Hepatology (201 citations), Cancer Research (380 citations) and Pharmacology (411 citations). Qi Xiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yadong Huang, Zhijian Su, Qihao Zhang, Kwan Man, George H. Greeley, TP Ng, Ella W. Englander, Chung Mau Lo, Chang Xian Li and Guiyun Wang. Their work appears in journals such as Applied Microbiology and Biotechnology, Oncotarget, Theranostics, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Journal of Hepatology.

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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