Congmao Wang
Impact in
- Plant Science top 2%
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
- Plant Virus Research Studies
- Genetically Modified Organisms Research
Papers in
-
- CRISPR and Genetic Engineering 6
- Genomics and Chromatin Dynamics 4
- Insect Resistance and Genetics 3
- Gene expression and cancer classification 1
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- Plant Molecular Biology Research 4
- Genetically Modified Organisms Research 3
- Chromosomal and Genetic Variations 2
- Co-authors
- Detlef Weigel (6 shared papers)Christa Lanz (2 shared papers)Vladimir Nekrasov (1 shared paper)Joe Win (1 shared paper)Sophien Kamoun (1 shared paper)Chang Liu (2 shared papers)Claude Becker (2 shared papers)Dabing Zhang (4 shared papers)
- Journals
- Scientific Reports (3 papers)Genome Research (2 papers)The Plant Cell (1 paper)PLANT PHYSIOLOGY (1 paper)Plant Methods (1 paper)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Congmao Wang
13 papers receiving 1.2k citations
Congmao Wang's Hit Papers
Peers
Comparison fields: 5 of 54
- Plant Science 929
- Business and International Management 37
- Molecular Biology 1.0k
- Insect Science 99
- Aging 12
Countries citing papers authored by Congmao Wang
This map shows the geographic impact of Congmao 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 Congmao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congmao Wang more than expected).
Fields of papers citing papers by Congmao Wang
This network shows the impact of papers produced by Congmao 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 Congmao Wang. The network helps show where Congmao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Congmao 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 | Rapid generation of a transgene-free powdery mildew resistant tomato by genome deletion Hit paper breakdown → | 2017 | 444 |
| 2 | 2014 | 212 | |
| 3 | 2016 | 166 | |
| 4 | 2014 | 90 | |
| 5 | 2015 | 85 | |
| 6 | 2013 | 76 | |
| 7 | 2011 | 60 | |
| 8 | 2018 | 44 | |
| 9 | 2012 | 27 | |
| 10 | 2010 | 19 | |
| 11 | 2018 | 11 | |
| 12 | 2013 | 8 | |
| 13 | Characterization of GM events by insert knowledge adapted re-sequencing | 2013 | 1 |
About Congmao Wang
Congmao Wang is a scholar working on Molecular Biology, Plant Science, Genetics, Artificial Intelligence and Computational Theory and Mathematics, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (4 papers), Plant Molecular Biology Research (4 papers), Genetically Modified Organisms Research (3 papers), Insect Resistance and Genetics (3 papers), Chromosomal and Genetic Variations (2 papers), Gene expression and cancer classification (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Plant Science (929 citations), Business and International Management (37 citations), Molecular Biology (1.0k citations), Insect Science (99 citations) and Aging (12 citations). Congmao Wang has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Detlef Weigel, Christa Lanz, Vladimir Nekrasov, Joe Win, Sophien Kamoun, Chang Liu, Claude Becker, Dabing Zhang, Rebecca Schwab and George Wang. Their work appears in journals such as Scientific Reports, Genome Research, The Plant Cell, PLANT PHYSIOLOGY and Plant Methods.
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.