Handuo Shi
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in
-
- Gut microbiota and health 5
- Bacterial biofilms and quorum sensing 5
- Gene Regulatory Network Analysis 5
- Protein Structure and Dynamics 4
- Genetics 23
- Bacterial Genetics and Biotechnology 23
- Co-authors
- Kerwyn Casey Huang (29 shared papers)Alexandre Colavin (6 shared papers)Jason M. Peters (2 shared papers)Carol A. Gross (2 shared papers)Tomasz L. Czarny (1 shared paper)John S. Hawkins (1 shared paper)Byoung‐Mo Koo (1 shared paper)Evan H. Whitehead (1 shared paper)
- Journals
- Nature Communications (6 papers)Proceedings of the National Academy of Sciences (4 papers)Physical Review A (3 papers)Cell (3 papers)mBio (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Handuo Shi
38 papers receiving 1.7k citations
Handuo Shi's Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Medicine 179
- Endocrinology 179
- Genetics 703
- Molecular Biology 1.1k
- Ecology 338
Countries citing papers authored by Handuo Shi
This map shows the geographic impact of Handuo Shi'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 Handuo Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Handuo Shi more than expected).
Fields of papers citing papers by Handuo Shi
This network shows the impact of papers produced by Handuo Shi. 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 Handuo Shi. The network helps show where Handuo Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Handuo Shi, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Comprehensive, CRISPR-based Functional Analysis of Essential Genes in Bacteria Hit paper breakdown → | 2016 | 521 |
| 2 | 2016 | 127 | |
| 3 | 2018 | 122 | |
| 4 | 2018 | 119 | |
| 5 | 2017 | 92 | |
| 6 | 2020 | 91 | |
| 7 | 2017 | 53 | |
| 8 | 2020 | 49 | |
| 9 | 2021 | 47 | |
| 10 | 2018 | 46 | |
| 11 | 2021 | 43 | |
| 12 | 2021 | 39 | |
| 13 | 2016 | 39 | |
| 14 | 2020 | 34 | |
| 15 | 2014 | 31 | |
| 16 | 2017 | 28 | |
| 17 | 2020 | 27 | |
| 18 | 2012 | 23 | |
| 19 | 2013 | 23 | |
| 20 | 2023 | 23 |
About Handuo Shi
Handuo Shi is a scholar working on Molecular Biology, Genetics, Ecology, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (23 papers), Bacteriophages and microbial interactions (12 papers), Gut microbiota and health (5 papers), Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (5 papers), Bacterial biofilms and quorum sensing (5 papers), Gene Regulatory Network Analysis (5 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Molecular Medicine (179 citations), Endocrinology (179 citations), Genetics (703 citations), Molecular Biology (1.1k citations) and Ecology (338 citations). Handuo Shi has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Kerwyn Casey Huang, Alexandre Colavin, Jason M. Peters, Carol A. Gross, Tomasz L. Czarny, John S. Hawkins, Byoung‐Mo Koo, Evan H. Whitehead, Eric D. Brown and Lei S. Qi. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Physical Review A, Cell and mBio.
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.