Changxi Wang

39 papers receiving 548 citations

Peers

Changxi Wang
Comparison fields: 5 of 77
  • Transplantation 50
  • Cancer Research 158
  • Oncology 160
  • Nephrology 34
  • Pathology and Forensic Medicine 83
Replace Federico Pio Fabrizio with:
Federico Pio Fabrizio Italy
Lei Zeng China
Simon Müller Germany
V Bailly United States
Julian Stumpf Germany
Lourdes Osaba Spain
Zhengmao Zhang China
Joo-Yeon Yoo United States
Tateru Ishida Japan
Shintaro Abe Japan
Changxi Wang relative to Federico Pio Fabrizio Italy Federico Pio Fabrizio's profile →
Citations per field
00.5×4.9×
Federico Pio Fabrizio · 1×
Citations per year

Countries citing papers authored by Changxi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changxi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202096
2 201960
3 201945
4 201944
5 201740
6 201736
7 202133
8 201628
9 201224
10 201412
11 202211
12 202311
13
Genetic polymorphisms of UGT1A8, UGT1A9, UGT2B7 and ABCC2 in Chinese renal transplant recipients and a comparison with other ethnic populations.
201310
14 201110
15 20229
16 20238
17 20247
18 20207
19 20246
20 20226

About Changxi Wang

Changxi Wang is a scholar working on Molecular Biology, Oncology, Transplantation, Plant Science and Cancer Research, having authored 42 papers that have together received 553 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Renal Transplantation Outcomes and Treatments (8 papers), Plant-Microbe Interactions and Immunity (4 papers), Lung Cancer Treatments and Mutations (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Horticultural and Viticultural Research (3 papers). The work is most often cited by research in Transplantation (50 citations), Cancer Research (158 citations), Oncology (160 citations), Nephrology (34 citations) and Pathology and Forensic Medicine (83 citations). Changxi Wang has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Xiaopeng Yuan, Yi Huang, Song Wu, Chuanbao Chen, Hongcheng Fang, Ke Yang, Yuhui Dong, Feiya Yang, Xi Zhang and Zhiming Cai. Their work appears in journals such as BMC Plant Biology, Nature Communications, European Journal of Clinical Pharmacology, Horticulture Research and Journal of Forestry Research.

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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