Gang Bao

6.2k citations
11 papers · 4.5k indexed · 2 hit papers · h-index 9

Gang Bao

11 papers receiving 4.4k citations

Hit Papers

DNA targeting specificity of RNA-guided Cas9 nucleases3.4k201320262017202110002.0k3.0k

Peers

Gang Bao
Comparison fields: 5 of 119
  • Aging 375
  • Business and International Management 406
  • Molecular Biology 4.1k
  • Genetics 895
  • Virology 121
Replace Alexandro E. Trevino with:
Alexandro E. Trevino United States
Eli J. Fine United States
Joshua A. Weinstein United States
Seung Woo Cho South Korea
Luhan Yang United States
Chikdu Shivalila United States
Thomas J. Cradick United States
Mudra Hegde United States
Nathalie T. Nguyen United States
Azusa Inoue Japan
Gang Bao relative to Alexandro E. Trevino United States Alexandro E. Trevino's profile →
Citations per field
00.5×1.5×1.8×
Alexandro E. Trevino · 1×
Citations per year

Countries citing papers authored by Gang Bao

Since Specialization
Citations

This map shows the geographic impact of Gang Bao'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 Gang Bao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Bao more than expected).

Fields of papers citing papers by Gang Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gang Bao. 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 Gang Bao. The network helps show where Gang Bao may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Gang Bao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gang Bao Line = papers co-authored together Gang Bao links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201535
2 20144
3 20146
4 201495
5 201441
6 2014131
7
CRISPR/Cas9 systems targeting β-globin and CCR5 genes have substantial off-target activitybreakdown →
2013459
8
DNA targeting specificity of RNA-guided Cas9 nucleasesbreakdown →
20133441
9 2013107
10 201076
11 200481

About Gang Bao

Gang Bao is a scholar working on Virology, Endocrine and Autonomic Systems and Speech and Hearing, having authored 11 papers that have together received 4.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Virus-based gene therapy research (3 papers), Plant Virus Research Studies (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), RNA regulation and disease (2 papers), RNA Interference and Gene Delivery (2 papers), RNA and protein synthesis mechanisms (2 papers) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Aging (375 citations), Business and International Management (406 citations) and Molecular Biology (4.1k citations). Gang Bao has collaborated with scholars based in United States and Germany. Frequent co-authors include Eli J. Fine, Thomas J. Cradick, Vineeta Agarwala, Yinqing Li, Luciano A. Marraffini, Xuebing Wu, Joshua A. Weinstein, Patrick D. Hsu, Silvana Konermann and David A. Scott. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Current Opinion in Pulmonary Medicine, Nature Biotechnology and Cell Reports.

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.

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