Kaihang Wang
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 13
- RNA modifications and cancer 6
- CRISPR and Genetic Engineering 3
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology 5
- Genetics top 5%
- Bacterial Genetics and Biotechnology 8
- Organic Chemistry top 5%
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- Viral gastroenteritis research and epidemiology 6
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- Bacteriophages and microbial interactions 4
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- Infrastructure Maintenance and Monitoring 3
- Co-authors
- Jason W. ChinHeinz NeumannLloyd DavisMaría García-AlaiAmit SachdevaSew‐Yeu Peak‐ChewThomas ElliottWolfgang H. Schmied
- Cited by
- Molecular BiologyHepatologyGenetics
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Kaihang Wang
35 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.9k
- Hepatology 133
- Genetics 466
- Organic Chemistry 350
- Radiology, Nuclear Medicine and Imaging 247
Countries citing papers authored by Kaihang Wang
This map shows the geographic impact of Kaihang 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 Kaihang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaihang Wang more than expected).
Fields of papers citing papers by Kaihang Wang
This network shows the impact of papers produced by Kaihang 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 Kaihang Wang. The network helps show where Kaihang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kaihang 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 | 2026 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 18 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 22 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 35 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 30 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 8 | |
| 13 | Total synthesis of Escherichia coli with a recoded genomebreakdown → | 2019 | 332 |
| 14 | 2019 | 29 | |
| 15 | 2018 | 12 | |
| 16 | 2014 | 69 | |
| 17 | 2014 | 38 | |
| 18 | 2010 | 497 | |
| 19 | 2007 | 240 | |
| 20 | 2006 | 30 |
About Kaihang Wang
Kaihang Wang is a scholar working on Hepatology, Infectious Diseases, Genetics, Molecular Biology and Industrial and Manufacturing Engineering, having authored 37 papers that have together received 2.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), Bacterial Genetics and Biotechnology (8 papers), Viral gastroenteritis research and epidemiology (6 papers), RNA modifications and cancer (6 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Bacteriophages and microbial interactions (4 papers), CRISPR and Genetic Engineering (3 papers) and Infrastructure Maintenance and Monitoring (3 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Hepatology (133 citations), Genetics (466 citations), Organic Chemistry (350 citations) and Radiology, Nuclear Medicine and Imaging (247 citations). Kaihang Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jason W. Chin, Heinz Neumann, Lloyd Davis, María García-Alai, Amit Sachdeva, Sew‐Yeu Peak‐Chew, Thomas Elliott, Wolfgang H. Schmied, Julius Fredens and Tiongsun Chia. Their work appears in journals such as Nature, Vaccine, Microbial Cell Factories, Nature Chemical Biology and Nature 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.