Yun‐Dong Gao
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Plant Science top 10%
- Genetics
- Cell Biology
- Topics
- Plant Diversity and Evolution (20 papers)Plant and animal studies (16 papers)Plant and Fungal Species Descriptions (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsMolecular Ecology
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yun‐Dong Gao
49 papers receiving 598 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 336
- Ecology, Evolution, Behavior and Systematics 323
- Plant Science 238
- Genetics 141
- Cell Biology 57
Countries citing papers authored by Yun‐Dong Gao
This map shows the geographic impact of Yun‐Dong Gao'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 Yun‐Dong Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun‐Dong Gao more than expected).
Fields of papers citing papers by Yun‐Dong Gao
This network shows the impact of papers produced by Yun‐Dong Gao. 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 Yun‐Dong Gao. The network helps show where Yun‐Dong Gao may publish in the future.
Co-authorship network of co-authors of Yun‐Dong Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Yun‐Dong Gao. A scholar is included among the top collaborators of Yun‐Dong Gao 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 Yun‐Dong Gao. Yun‐Dong Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 24 | |
| 12 | 13 | |
| 13 | 38 | |
| 14 | 28 | |
| 15 | 48 | |
| 16 | 87 | |
| 17 | Biofilm Formation and Analysis of Associated Genes Involved in Staphylococcus Isolates from Bovine Mastitis | 3 |
| 18 | 29 | |
| 19 | In vitro endometritis pathogenic bacteria of inhibition research of the function by single type polysaccharide traditional Chinese herb. | 1 |
| 20 | Identification of the pathogenic bacteria from endometritis cow by 16s rRNA sequence analysis. | 1 |
About Yun‐Dong Gao
Yun‐Dong Gao is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecological Modeling and Plant Science, having authored 53 papers that have together received 618 indexed citations. Recurring topics across this work include Plant Diversity and Evolution (20 papers), Plant and animal studies (16 papers) and Plant and Fungal Species Descriptions (13 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (323 citations), Ecological Modeling (32 citations) and Plant Science (238 citations). Yun‐Dong Gao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xing‐Jin He, AJ Harris, Xin‐Fen Gao, Song‐Dong Zhou, Jifeng Zhong, Yu Zhang, Xiuge Wang, Jinming Huang, Zhihua Ju and Bo Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecular Ecology.
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.