Lin‐Yu Lu
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- DNA Repair Mechanisms 20
- CRISPR and Genetic Engineering 4
- Ubiquitin and proteasome pathways 3
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 2
-
- Sperm and Testicular Function 4
- Co-authors
- Xiaochun Yu (14 shared papers)Jiaxue Wu (4 shared papers)Thomas L. Saunders (3 shared papers)Lin Ye (3 shared papers)Junjie Chen (3 shared papers)Michael S.Y. Huen (6 shared papers)Yidan Liu (8 shared papers)Jamie L. Wood (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Nature Communications (2 papers)Molecular and Cellular Biology (2 papers)Cell Death and Differentiation (2 papers)Cell Cycle (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lin‐Yu Lu
30 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 68
- Reproductive Medicine 225
- Cell Biology 170
- Molecular Biology 702
- Infectious Diseases 105
- Oncology 120
Countries citing papers authored by Lin‐Yu Lu
This map shows the geographic impact of Lin‐Yu Lu'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 Lin‐Yu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin‐Yu Lu more than expected).
Fields of papers citing papers by Lin‐Yu Lu
This network shows the impact of papers produced by Lin‐Yu Lu. 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 Lin‐Yu Lu. The network helps show where Lin‐Yu Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin‐Yu Lu, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 186 | |
| 2 | 2010 | 184 | |
| 3 | 2005 | 156 | |
| 4 | 2008 | 127 | |
| 5 | 2008 | 122 | |
| 6 | 2008 | 94 | |
| 7 | 2011 | 88 | |
| 8 | 2022 | 62 | |
| 9 | 2006 | 48 | |
| 10 | 2009 | 46 | |
| 11 | 2020 | 33 | |
| 12 | 2015 | 32 | |
| 13 | 2020 | 32 | |
| 14 | 2020 | 31 | |
| 15 | 2020 | 30 | |
| 16 | 2013 | 29 | |
| 17 | 2019 | 20 | |
| 18 | 2017 | 18 | |
| 19 | 2006 | 16 | |
| 20 | 2016 | 16 |
About Lin‐Yu Lu
Lin‐Yu Lu is a scholar working on Molecular Biology, Reproductive Medicine, Cell Biology, Genetics and Oncology, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (20 papers), Microtubule and mitosis dynamics (4 papers), Sperm and Testicular Function (4 papers), CRISPR and Genetic Engineering (4 papers), Ubiquitin and proteasome pathways (3 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Reproductive Medicine (225 citations), Cell Biology (170 citations), Molecular Biology (702 citations), Infectious Diseases (105 citations) and Oncology (120 citations). Lin‐Yu Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaochun Yu, Jiaxue Wu, Thomas L. Saunders, Lin Ye, Junjie Chen, Michael S.Y. Huen, Yidan Liu, Jamie L. Wood, Katherine Minter‐Dykhouse and Jian‐Dong Huang. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Molecular and Cellular Biology, Cell Death and Differentiation and Cell Cycle.
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.