Ye Lao
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
Papers in
-
- DNA Repair Mechanisms 6
- Lipid Membrane Structure and Behavior 5
- DNA and Nucleic Acid Chemistry 4
- Signaling Pathways in Disease 2
-
- Cellular transport and secretion 8
- Co-authors
- Thomas C. Südhof (8 shared papers)Marc S. Wold (6 shared papers)Weiping Han (6 shared papers)Shuzo Sugita (2 shared papers)Anton Maximov (4 shared papers)Ok-Ho Shin (1 shared paper)Jakob B. Sørensen (2 shared papers)Josep Rizo (2 shared papers)
- Journals
- Biochemistry (5 papers)Proceedings of the National Academy of Sciences (3 papers)Neuron (2 papers)Poultry Science (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Ye Lao
17 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 77
- Cell Biology 834
- Physiology 160
- Cellular and Molecular Neuroscience 394
- Molecular Biology 1.3k
- Cancer Research 116
Countries citing papers authored by Ye Lao
This map shows the geographic impact of Ye Lao'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 Ye Lao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Lao more than expected).
Fields of papers citing papers by Ye Lao
This network shows the impact of papers produced by Ye Lao. 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 Ye Lao. The network helps show where Ye Lao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Lao, 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 | 2002 | 221 | |
| 2 | 2001 | 193 | |
| 3 | 2008 | 145 | |
| 4 | 2008 | 143 | |
| 5 | 1997 | 125 | |
| 6 | 2001 | 101 | |
| 7 | 1999 | 93 | |
| 8 | 2003 | 91 | |
| 9 | 2008 | 85 | |
| 10 | 2004 | 83 | |
| 11 | 2009 | 83 | |
| 12 | 1999 | 74 | |
| 13 | 2000 | 73 | |
| 14 | 2014 | 60 | |
| 15 | 2003 | 54 | |
| 16 | 2010 | 9 | |
| 17 | 2024 | 2 |
About Ye Lao
Ye Lao is a scholar working on Molecular Biology, Cell Biology, Genetics, Surgery and Physiology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), DNA Repair Mechanisms (6 papers), Lipid Membrane Structure and Behavior (5 papers), Pancreatic function and diabetes (4 papers), Bacterial Genetics and Biotechnology (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Calcium signaling and nucleotide metabolism (3 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Cell Biology (834 citations), Physiology (160 citations), Cellular and Molecular Neuroscience (394 citations), Molecular Biology (1.3k citations) and Cancer Research (116 citations). Ye Lao has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Thomas C. Südhof, Marc S. Wold, Weiping Han, Shuzo Sugita, Anton Maximov, Ok-Ho Shin, Jakob B. Sørensen, Josep Rizo, Xavier V. Gomes and Stefan Butz. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Neuron, Poultry Science and The EMBO Journal.
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.