Bin Yan
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Parasitology top 10%
- Vector-borne infectious diseases
Papers in
-
- Genomics and Phylogenetic Studies 13
- Insect Resistance and Genetics 10
-
- Phytoplasmas and Hemiptera pathogens 18
- Plant Virus Research Studies 7
- Plant Pathogenic Bacteria Studies 4
- Co-authors
- Maofa Yang (24 shared papers)Mengmeng Jiang (2 shared papers)Yuanzhi Wang (2 shared papers)Guo‐Bao Tian (8 shared papers)Sándor Hornok (3 shared papers)Baoju Wang (3 shared papers)Shanshan Zhao (3 shared papers)Mohamed Abd El-Gawad El-Sayed Ahmed (4 shared papers)
- Journals
- Zootaxa (6 papers)Ecology and Evolution (3 papers)Genome Biology and Evolution (3 papers)Frontiers in Microbiology (2 papers)ZooKeys (2 papers)
- Partner nations
- ChinaCzechiaUnited Kingdom
In The Last Decade
Bin Yan
58 papers receiving 433 citations
Peers
Comparison fields: 5 of 79
- Molecular Medicine 89
- Parasitology 53
- Insect Science 82
- Endocrinology 28
- Applied Microbiology and Biotechnology 7
Countries citing papers authored by Bin Yan
This map shows the geographic impact of Bin Yan'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 Bin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Yan more than expected).
Fields of papers citing papers by Bin Yan
This network shows the impact of papers produced by Bin Yan. 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 Bin Yan. The network helps show where Bin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Yan, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 54 | |
| 2 | 2019 | 35 | |
| 3 | 2019 | 31 | |
| 4 | 2021 | 23 | |
| 5 | 2018 | 17 | |
| 6 | 2022 | 17 | |
| 7 | 2020 | 16 | |
| 8 | 2018 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2022 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2008 | 6 | |
| 20 | 2020 | 6 |
About Bin Yan
Bin Yan is a scholar working on Molecular Biology, Plant Science, Insect Science, Ecology, Evolution, Behavior and Systematics and Molecular Medicine, having authored 64 papers that have together received 435 indexed citations. Recurring topics across this work include Phytoplasmas and Hemiptera pathogens (18 papers), Insect-Plant Interactions and Control (15 papers), Genomics and Phylogenetic Studies (13 papers), Insect Resistance and Genetics (10 papers), Plant Virus Research Studies (7 papers), Antibiotic Resistance in Bacteria (6 papers), Computational Drug Discovery Methods (5 papers) and Plant Pathogenic Bacteria Studies (4 papers). The work is most often cited by research in Molecular Medicine (89 citations), Parasitology (53 citations), Insect Science (82 citations), Endocrinology (28 citations) and Applied Microbiology and Biotechnology (7 citations). Bin Yan has collaborated with scholars based in China, Czechia and United Kingdom. Frequent co-authors include Maofa Yang, Mengmeng Jiang, Yuanzhi Wang, Guo‐Bao Tian, Sándor Hornok, Baoju Wang, Shanshan Zhao, Mohamed Abd El-Gawad El-Sayed Ahmed, Lan‐Lan Zhong and Jianfeng Liu. Their work appears in journals such as Zootaxa, Ecology and Evolution, Genome Biology and Evolution, Frontiers in Microbiology and ZooKeys.
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.