Harris H. Wang
- Molecular Biology top 1%
- Genetics top 1%
- Infectious Diseases top 1%
- Ecology top 2%
- Biomedical Engineering top 5%
- Co-authors
- George M. ChurchFarren J. IsaacsPeter A. CarrRavi U. ShethGeorge XuMichael T. MeeCraig R. ForestZachary Z. Sun
- Topics
- CRISPR and Genetic Engineering (30 papers)Gut microbiota and health (21 papers)RNA and protein synthesis mechanisms (16 papers)
- Partner nations
- United StatesDenmarkCanada
In The Last Decade
Harris H. Wang
83 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 5.8k
- Genetics 1.8k
- Infectious Diseases 1.4k
- Ecology 983
- Biomedical Engineering 747
Countries citing papers authored by Harris H. Wang
This map shows the geographic impact of Harris 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 Harris 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 Harris H. Wang more than expected).
Fields of papers citing papers by Harris H. Wang
This network shows the impact of papers produced by Harris 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 Harris H. Wang. The network helps show where Harris H. Wang may publish in the future.
Co-authorship network of co-authors of Harris H. Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Harris H. Wang. A scholar is included among the top collaborators of Harris H. Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Harris H. Wang. Harris H. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | High-throughput microbial culturomics using automation and machine learningbreakdown → | 138 |
| 4 | Antigenicity and receptor affinity of SARS-CoV-2 BA.2.86 spikebreakdown → | 100 |
| 5 | Antibody evasion properties of SARS-CoV-2 Omicron sublineagesbreakdown → | 478 |
| 6 | Alarming antibody evasion properties of rising SARS-CoV-2 BQ and XBB subvariantsbreakdown → | 495 |
| 7 | 110 | |
| 8 | 29 | |
| 9 | 33 | |
| 10 | 31 | |
| 11 | 177 | |
| 12 | 58 | |
| 13 | 31 | |
| 14 | 69 | |
| 15 | 36 | |
| 16 | 131 | |
| 17 | 68 | |
| 18 | Genomically Recoded Organisms Expand Biological Functionsbreakdown → | 645 |
| 19 | 94 | |
| 20 | 105 |
About Harris H. Wang
Harris H. Wang is a scholar working on Molecular Biology, Genetics and Molecular Medicine, having authored 84 papers that have together received 8.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (30 papers), Gut microbiota and health (21 papers) and RNA and protein synthesis mechanisms (16 papers). The work is most often cited by research in Molecular Biology (5.8k citations), Infectious Diseases (1.4k citations) and Genetics (1.8k citations). Harris H. Wang has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include George M. Church, Farren J. Isaacs, Peter A. Carr, Ravi U. Sheth, George Xu, Michael T. Mee, Craig R. Forest, Zachary Z. Sun, Yiming Huang and Sway P. Chen. Their work appears in journals such as Nature, Science and Cell.
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.