Lan-Hsiang Wang
Impact in
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- Developmental Biology and Gene Regulation
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Congenital heart defects research
- DNA and Nucleic Acid Chemistry
- Protein Structure and Dynamics
- RNA Research and Splicing
Papers in
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- DNA and Nucleic Acid Chemistry 3
- Genomics and Chromatin Dynamics 3
- Developmental Biology and Gene Regulation 2
- RNA Research and Splicing 2
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- Neurobiology and Insect Physiology Research 1
- Co-authors
- Marshall W. Nirenberg (8 shared papers)Désirée H.H. Tsao (5 shared papers)James M. Gruschus (5 shared papers)James A. Ferretti (5 shared papers)Solly Weiler (1 shared paper)Lei Yu (1 shared paper)Kohzo Nakayama (1 shared paper)Yongsok Kim (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Biochemistry (2 papers)Journal of Molecular Biology (2 papers)Cancer Nursing (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Lan-Hsiang Wang
9 papers receiving 309 citations
Peers
Comparison fields: 5 of 43
- Molecular Biology 274
- Genetics 74
- Cellular and Molecular Neuroscience 36
- Aging 3
- Immunology 22
Countries citing papers authored by Lan-Hsiang Wang
This map shows the geographic impact of Lan-Hsiang Wang'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 Lan-Hsiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan-Hsiang Wang more than expected).
Fields of papers citing papers by Lan-Hsiang Wang
This network shows the impact of papers produced by Lan-Hsiang Wang. 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 Lan-Hsiang Wang. The network helps show where Lan-Hsiang Wang may publish in the future.
Co-authors
The 14 scholars most cited alongside Lan-Hsiang Wang, 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 | 1997 | 70 | |
| 2 | 1994 | 60 | |
| 3 | 1995 | 46 | |
| 4 | 1999 | 41 | |
| 5 | 1998 | 38 | |
| 6 | 1995 | 28 | |
| 7 | 2002 | 15 | |
| 8 | 2010 | 10 | |
| 9 | 2005 | 5 |
About Lan-Hsiang Wang
Lan-Hsiang Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Plant Science, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 313 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (3 papers), Genomics and Chromatin Dynamics (3 papers), Developmental Biology and Gene Regulation (2 papers), RNA Research and Splicing (2 papers), Plant Molecular Biology Research (1 paper), Animal Genetics and Reproduction (1 paper), Chromosomal and Genetic Variations (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Molecular Biology (274 citations), Genetics (74 citations), Cellular and Molecular Neuroscience (36 citations), Aging (3 citations) and Immunology (22 citations). Lan-Hsiang Wang has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Marshall W. Nirenberg, Désirée H.H. Tsao, James M. Gruschus, James A. Ferretti, Solly Weiler, Lei Yu, Kohzo Nakayama, Yongsok Kim, Keith O. Webber and Dervla M. Mellerick. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemistry, Journal of Molecular Biology, Cancer Nursing and Journal of Biological Chemistry.
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.