Wan-Jin Lu
Impact in
- Aging top 10%
-
- Epigenetics and DNA Methylation
- Cell death mechanisms and regulation
- CRISPR and Genetic Engineering
- Hedgehog Signaling Pathway Studies
Papers in
-
- Hedgehog Signaling Pathway Studies 5
- Epigenetics and DNA Methylation 5
- Cell death mechanisms and regulation 3
- Genomics and Chromatin Dynamics 2
- Oncology 8
- Cancer-related Molecular Pathways 6
- Cancer Cells and Metastasis 3
- Co-authors
- John Abrams (9 shared papers)James F. Amatruda (2 shared papers)Annika Wylie (3 shared papers)Po Chen (2 shared papers)Philip A. Beachy (5 shared papers)Joseph Chapo (1 shared paper)Ignasi Roig (1 shared paper)Su Kit Chew (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Science (2 papers)Developmental Cell (2 papers)eLife (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Wan-Jin Lu
16 papers receiving 835 citations
Peers
Comparison fields: 5 of 85
- Aging 32
- Molecular Biology 652
- Oncology 231
- Cell Biology 116
- Cancer Research 82
Countries citing papers authored by Wan-Jin Lu
This map shows the geographic impact of Wan-Jin 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 Wan-Jin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan-Jin Lu more than expected).
Fields of papers citing papers by Wan-Jin Lu
This network shows the impact of papers produced by Wan-Jin 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 Wan-Jin Lu. The network helps show where Wan-Jin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan-Jin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 138 | |
| 2 | 2004 | 131 | |
| 3 | 2009 | 89 | |
| 4 | 2010 | 73 | |
| 5 | 2016 | 66 | |
| 6 | 2017 | 49 | |
| 7 | 2014 | 48 | |
| 8 | 2008 | 48 | |
| 9 | 2021 | 47 | |
| 10 | 2007 | 42 | |
| 11 | 2006 | 41 | |
| 12 | 2017 | 38 | |
| 13 | 2020 | 25 | |
| 14 | 2022 | 4 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 |
About Wan-Jin Lu
Wan-Jin Lu is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Genetics, having authored 16 papers that have together received 841 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Hedgehog Signaling Pathway Studies (5 papers), Epigenetics and DNA Methylation (5 papers), Cancer Cells and Metastasis (3 papers), Cell death mechanisms and regulation (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Genomics and Chromatin Dynamics (2 papers) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Aging (32 citations), Molecular Biology (652 citations), Oncology (231 citations), Cell Biology (116 citations) and Cancer Research (82 citations). Wan-Jin Lu has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include John Abrams, James F. Amatruda, Annika Wylie, Po Chen, Philip A. Beachy, Joseph Chapo, Ignasi Roig, Su Kit Chew, Sharad Kumar and Fatih Akdemir. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science, Developmental Cell, eLife and The Journal of Cell Biology.
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.