Zikang Wang

104 papers receiving 1.5k citations

Zikang Wang's Hit Papers

Programmable RNA editing with compact CRISPR–Cas13 systems from uncultivated microbes 2021 · 237 citations
2370+1+3Years since publication50100150200

Peers

Zikang Wang
Comparison fields: 5 of 144
  • Business and International Management 27
  • Pollution 139
  • Aging 18
  • Insect Science 125
  • Health, Toxicology and Mutagenesis 127
Replace Zhongming Zhang with:
Zhongming Zhang China
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Jing Liang China
Yannan Wang China
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Zikang Wang relative to Zhongming Zhang China Zhongming Zhang's profile →
Citations per field
00.5×1.5×2.3×
Zhongming Zhang · 1×
Citations per year

Countries citing papers authored by Zikang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zikang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zikang Wang, 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 Zikang Wang Line = papers co-authored together Zikang Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Programmable RNA editing with compact CRISPR–Cas13 systems from uncultivated microbes
Hit paper breakdown →
2021237
2 201875
3 202367
4 201964
5 202247
6 202237
7 202237
8 201935
9 201934
10 202134
11 201931
12 201930
13 202324
14 202323
15 201921
16 202321
17 202320
18 202020
19 202018
20 201818

About Zikang Wang

Zikang Wang is a scholar working on Global and Planetary Change, Molecular Biology, Artificial Intelligence, Insect Science and Ecology, having authored 111 papers that have together received 1.5k indexed citations. Recurring topics across this work include Insect and Pesticide Research (13 papers), Advanced Graph Neural Networks (12 papers), Amphibian and Reptile Biology (12 papers), Environmental Toxicology and Ecotoxicology (12 papers), Topic Modeling (11 papers), Physiological and biochemical adaptations (8 papers), Advancements in Battery Materials (7 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Business and International Management (27 citations), Pollution (139 citations), Aging (18 citations), Insect Science (125 citations) and Health, Toxicology and Mutagenesis (127 citations). Zikang Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jinling Diao, Zhiqiang Zhou, Daniel Zeng, Linjing Li, Yue Deng, Wenjun Zhang, Li Chen, Yingsi Zhou, Weiya Bai and Hongbo Ling. Their work appears in journals such as The Science of The Total Environment, Environmental Pollution, Chemosphere, Journal of Hazardous Materials and Journal of Agricultural and Food 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.

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