Ya‐Lan Wei
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Reproductive Medicine top 10%
- Sperm and Testicular Function
Papers in
- Cell Biology 22
- Microtubule and mitosis dynamics 21
- Genetics 7
- Genetic and Kidney Cyst Diseases 6
- Co-authors
- Wan-Xi Yang (4 shared papers)Zhen‐Yu She (20 shared papers)Lin Yang (6 shared papers)Minghui Lu (4 shared papers)Kai‐Wei Yu (5 shared papers)Xinrui Wang (6 shared papers)Yueling Li (3 shared papers)Tamás Kovács (1 shared paper)
In The Last Decade
Ya‐Lan Wei
27 papers receiving 299 citations
Peers
Comparison fields: 5 of 67
- Cell Biology 136
- Reproductive Medicine 53
- Physiology 12
- Molecular Biology 154
- Public Health, Environmental and Occupational Health 54
Countries citing papers authored by Ya‐Lan Wei
This map shows the geographic impact of Ya‐Lan Wei'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 Ya‐Lan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya‐Lan Wei more than expected).
Fields of papers citing papers by Ya‐Lan Wei
This network shows the impact of papers produced by Ya‐Lan Wei. 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 Ya‐Lan Wei. The network helps show where Ya‐Lan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya‐Lan Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 49 | |
| 2 | 2019 | 31 | |
| 3 | 2019 | 28 | |
| 4 | 2022 | 22 | |
| 5 | 2020 | 21 | |
| 6 | 2019 | 17 | |
| 7 | 2019 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 15 | |
| 10 | 2024 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 4 |
About Ya‐Lan Wei
Ya‐Lan Wei is a scholar working on Cell Biology, Genetics, Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 28 papers that have together received 307 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (21 papers), Reproductive Biology and Fertility (6 papers), Genetic and Kidney Cyst Diseases (6 papers), Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (4 papers), Chromosomal and Genetic Variations (4 papers), Nuclear Structure and Function (3 papers) and Sperm and Testicular Function (3 papers). The work is most often cited by research in Cell Biology (136 citations), Reproductive Medicine (53 citations), Physiology (12 citations), Molecular Biology (154 citations) and Public Health, Environmental and Occupational Health (54 citations). Ya‐Lan Wei has collaborated with scholars based in China and Hungary. Frequent co-authors include Wan-Xi Yang, Zhen‐Yu She, Lin Yang, Minghui Lu, Kai‐Wei Yu, Xinrui Wang, Yueling Li, Tamás Kovács, Jie Chen and Chenjie Xu. Their work appears in journals such as Gene, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Chromosoma, Cell and Tissue Research and Experimental Cell 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.