William Lai
Impact in
- Aging top 10%
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Genomics and Chromatin Dynamics 15
- RNA and protein synthesis mechanisms 10
- RNA Research and Splicing 9
- Genomics and Phylogenetic Studies 5
- Fungal and yeast genetics research 5
- RNA modifications and cancer 3
-
- Scientific Computing and Data Management 4
- Co-authors
- B. Franklin Pugh (17 shared papers)Matthew J. Rossi (6 shared papers)Jonathan P. Garino (4 shared papers)Paul Ducheyne (4 shared papers)Richard R. Almon (4 shared papers)Debra C. DuBois (4 shared papers)William J. Jusko (4 shared papers)Michael Buck (7 shared papers)
- Journals
- Bioinformatics (3 papers)Genome Research (3 papers)Nature Communications (2 papers)Genome biology (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesNetherlandsCzechia
In The Last Decade
William Lai
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Aging 21
- Endocrine and Autonomic Systems 79
- Molecular Biology 785
- Behavioral Neuroscience 19
- Biomaterials 47
Countries citing papers authored by William Lai
This map shows the geographic impact of William Lai'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 William Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Lai more than expected).
Fields of papers citing papers by William Lai
This network shows the impact of papers produced by William Lai. 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 William Lai. The network helps show where William Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside William Lai, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 342 | |
| 2 | 2021 | 126 | |
| 3 | 2002 | 87 | |
| 4 | 2008 | 62 | |
| 5 | 2018 | 61 | |
| 6 | 2008 | 52 | |
| 7 | 2008 | 51 | |
| 8 | 2005 | 38 | |
| 9 | 2012 | 34 | |
| 10 | 2020 | 30 | |
| 11 | 2014 | 30 | |
| 12 | 2018 | 29 | |
| 13 | 2005 | 26 | |
| 14 | 2018 | 17 | |
| 15 | 2016 | 16 | |
| 16 | 2010 | 15 | |
| 17 | 2010 | 15 | |
| 18 | 2012 | 15 | |
| 19 | 2021 | 11 | |
| 20 | 2022 | 9 |
About William Lai
William Lai is a scholar working on Molecular Biology, Information Systems and Management, Plant Science, Surgery and Biomedical Engineering, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), RNA and protein synthesis mechanisms (10 papers), RNA Research and Splicing (9 papers), Genomics and Phylogenetic Studies (5 papers), Fungal and yeast genetics research (5 papers), Scientific Computing and Data Management (4 papers), Bone Tissue Engineering Materials (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Aging (21 citations), Endocrine and Autonomic Systems (79 citations), Molecular Biology (785 citations), Behavioral Neuroscience (19 citations) and Biomaterials (47 citations). William Lai has collaborated with scholars based in United States, Netherlands and Czechia. Frequent co-authors include B. Franklin Pugh, Matthew J. Rossi, Jonathan P. Garino, Paul Ducheyne, Richard R. Almon, Debra C. DuBois, William J. Jusko, Michael Buck, Ioannis P. Androulakis and Eric Yang. Their work appears in journals such as Bioinformatics, Genome Research, Nature Communications, Genome biology and Nucleic Acids 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.