Wei An
Impact in
- Rheumatology top 10%
- Folate and B Vitamins Research
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
-
- Epigenetics and DNA Methylation 1
- Cancer-related gene regulation 1
- Histone Deacetylase Inhibitors Research 1
- Signaling Pathways in Disease 1
- Oncology 2
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Shelly C. Lu (1 shared paper)Luis Álvarez (1 shared paper)Zong‐Zhi Huang (1 shared paper)Gary C. Kanel (1 shared paper)Lixin Chen (1 shared paper)José M. Mato (1 shared paper)Fernando J. Corrales (1 shared paper)Matías A. Ávila (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Oncogene (1 paper)PubMed (4 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Wei An
6 papers receiving 429 citations
Peers
Comparison fields: 5 of 59
- Rheumatology 144
- Clinical Biochemistry 56
- Biochemistry 54
- Hepatology 40
- Epidemiology 142
Countries citing papers authored by Wei An
This map shows the geographic impact of Wei An'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 Wei An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei An more than expected).
Fields of papers citing papers by Wei An
This network shows the impact of papers produced by Wei An. 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 Wei An. The network helps show where Wei An may publish in the future.
Co-authors
The 21 scholars most cited alongside Wei An, 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 | 2001 | 370 | |
| 2 | Different contributions of STAT3, ERK1/2, and PI3-K signaling to cardiomyocyte hypertrophy by cardiotrophin-1. | 2004 | 27 |
| 3 | 2012 | 19 | |
| 4 | Crosstalk between ERK1/2 and STAT3 in the modulation of cardiomyocyte hypertrophy induced by cardiotrophin-1. | 2004 | 12 |
| 5 | [A study of the protective mechanism of hepatic stimulator substance against experimental acute liver failure in mice]. | 1992 | 4 |
| 6 | [Protective effect of hepatic stimulator substance against experimental acute liver failure in mice]. | 1991 | 2 |
About Wei An
Wei An is a scholar working on Molecular Biology, Oncology, Physiology, Surgery and Rheumatology, having authored 6 papers that have together received 434 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (2 papers), Biochemical effects in animals (2 papers), Epigenetics and DNA Methylation (1 paper), Cancer-related gene regulation (1 paper), Folate and B Vitamins Research (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Signaling Pathways in Disease (1 paper) and Esophageal and GI Pathology (1 paper). The work is most often cited by research in Rheumatology (144 citations), Clinical Biochemistry (56 citations), Biochemistry (54 citations), Hepatology (40 citations) and Epidemiology (142 citations). Wei An has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shelly C. Lu, Luis Álvarez, Zong‐Zhi Huang, Gary C. Kanel, Lixin Chen, José M. Mato, Fernando J. Corrales, Matías A. Ávila, Kwangmo Yang and Jin‐Soo Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Oncogene and PubMed.
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.