Sidney H. Wang
Impact in
- Aging top 10%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
Papers in
-
- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 5
- CRISPR and Genetic Engineering 4
- Genomics and Chromatin Dynamics 3
- Muscle Physiology and Disorders 2
- Pluripotent Stem Cells Research 2
- RNA modifications and cancer 2
-
- Chromosomal and Genetic Variations 3
- Co-authors
- Sarah C. R. Elgin (3 shared papers)Jonathan K. Pritchard (3 shared papers)Yoav Gilad (2 shared papers)Zia Khan (2 shared papers)Alexis Battle (1 shared paper)Michael Ford (1 shared paper)Amy Mitrano (1 shared paper)Arbel Harpak (1 shared paper)
- Journals
- Nature Communications (2 papers)PLoS ONE (2 papers)Cell Reports (1 paper)Journal of Cell Science (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Sidney H. Wang
15 papers receiving 895 citations
Peers
Comparison fields: 5 of 84
- Aging 29
- Molecular Biology 692
- Endocrine and Autonomic Systems 40
- Plant Science 198
- Genetics 141
Countries citing papers authored by Sidney H. Wang
This map shows the geographic impact of Sidney H. 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 Sidney H. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sidney H. Wang more than expected).
Fields of papers citing papers by Sidney H. Wang
This network shows the impact of papers produced by Sidney H. 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 Sidney H. Wang. The network helps show where Sidney H. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sidney H. 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 | 2014 | 319 | |
| 2 | 2011 | 181 | |
| 3 | 2016 | 111 | |
| 4 | 2018 | 83 | |
| 5 | 2018 | 56 | |
| 6 | 2007 | 46 | |
| 7 | 2024 | 32 | |
| 8 | 2018 | 30 | |
| 9 | 2024 | 9 | |
| 10 | 2014 | 9 | |
| 11 | 2018 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2019 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 1 |
About Sidney H. Wang
Sidney H. Wang is a scholar working on Molecular Biology, Plant Science, Genetics, Endocrine and Autonomic Systems and Cell Biology, having authored 15 papers that have together received 898 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (5 papers), CRISPR and Genetic Engineering (4 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Chromatin Dynamics (3 papers), Muscle Physiology and Disorders (2 papers), Pluripotent Stem Cells Research (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Aging (29 citations), Molecular Biology (692 citations), Endocrine and Autonomic Systems (40 citations), Plant Science (198 citations) and Genetics (141 citations). Sidney H. Wang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Sarah C. R. Elgin, Jonathan K. Pritchard, Yoav Gilad, Zia Khan, Alexis Battle, Michael Ford, Amy Mitrano, Arbel Harpak, Yang Li and Matthew Stephens. Their work appears in journals such as Nature Communications, PLoS ONE, Cell Reports, Journal of Cell Science and Genome 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.