E Xiang
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
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- Chronic Kidney Disease and Diabetes
Papers in
-
- Plant Toxicity and Pharmacological Properties 4
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- Reproductive Health and Contraception 4
- Co-authors
- Dongcheng Wu (5 shared papers)Bing Han (3 shared papers)Wei Rao (4 shared papers)Changyong Li (4 shared papers)Yaqi Zhang (3 shared papers)Chengshu Tu (3 shared papers)Cheng Chang (1 shared paper)Quan Zhang (1 shared paper)
- Journals
- Frontiers in Genetics (1 paper)Drug Metabolism and Disposition (1 paper)Bone and Joint Research (1 paper)Stem Cell Research & Therapy (1 paper)Medicine (1 paper)
- Partner nations
- ChinaHungaryUnited States
In The Last Decade
E Xiang
18 papers receiving 468 citations
E Xiang's Hit Papers
Peers
Comparison fields: 5 of 78
- Genetics 123
- Nephrology 27
- Cancer Research 44
- Molecular Biology 163
- Pharmacology 17
Countries citing papers authored by E Xiang
This map shows the geographic impact of E 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 E Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Xiang more than expected).
Fields of papers citing papers by E Xiang
This network shows the impact of papers produced by E 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 E Xiang. The network helps show where E Xiang may publish in the future.
Co-authors
The 25 scholars most cited alongside E Xiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Human umbilical cord-derived mesenchymal stem cells prevent the progression of early diabetic nephropathy through inhibiting inflammation and fibrosis Hit paper breakdown → | 2020 | 235 |
| 2 | 2019 | 59 | |
| 3 | 2021 | 33 | |
| 4 | 2020 | 27 | |
| 5 | 2022 | 20 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 14 | |
| 8 | 2023 | 12 | |
| 9 | 2019 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2018 | 9 | |
| 12 | 2018 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About E Xiang
E Xiang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Surgery, Genetics and Pharmacology, having authored 19 papers that have together received 473 indexed citations. Recurring topics across this work include Reproductive Health and Contraception (4 papers), Plant Toxicity and Pharmacological Properties (4 papers), Mesenchymal stem cell research (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Historical Studies on Reproduction, Gender, Health, and Societal Changes (1 paper), Muscle metabolism and nutrition (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Bladder and Urothelial Cancer Treatments (1 paper). The work is most often cited by research in Genetics (123 citations), Nephrology (27 citations), Cancer Research (44 citations), Molecular Biology (163 citations) and Pharmacology (17 citations). E Xiang has collaborated with scholars based in China, Hungary and United States. Frequent co-authors include Dongcheng Wu, Bing Han, Wei Rao, Changyong Li, Yaqi Zhang, Chengshu Tu, Cheng Chang, Quan Zhang, Peizhan Chen and Jialin Cai. Their work appears in journals such as Frontiers in Genetics, Drug Metabolism and Disposition, Bone and Joint Research, Stem Cell Research & Therapy and Medicine.
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.