Xing‐Xing Shen
- Molecular Biology top 5%
- Plant Science top 2%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Cell Biology top 5%
- Co-authors
- Antonis RokasChris Todd HittingerJacob L. SteenwykYuanning LiXiaofan ZhouThomas J. BuidaDan LiangJacek Kominek
- Topics
- Genomics and Phylogenetic Studies (26 papers)Genetic diversity and population structure (14 papers)Fungal and yeast genetics research (10 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Xing‐Xing Shen
75 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 1.8k
- Plant Science 960
- Genetics 659
- Ecology, Evolution, Behavior and Systematics 542
- Cell Biology 385
Countries citing papers authored by Xing‐Xing Shen
This map shows the geographic impact of Xing‐Xing Shen'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 Xing‐Xing Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing‐Xing Shen more than expected).
Fields of papers citing papers by Xing‐Xing Shen
This network shows the impact of papers produced by Xing‐Xing Shen. 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 Xing‐Xing Shen. The network helps show where Xing‐Xing Shen may publish in the future.
Co-authorship network of co-authors of Xing‐Xing Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Xing‐Xing Shen. A scholar is included among the top collaborators of Xing‐Xing Shen 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 Xing‐Xing Shen. Xing‐Xing Shen 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 | 6 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | Incongruence in the phylogenomics erabreakdown → | 110 |
| 7 | 20 | |
| 8 | 99 | |
| 9 | A genome-scale phylogeny of the kingdom Fungibreakdown → | 180 |
| 10 | 119 | |
| 11 | 13 | |
| 12 | 14 | |
| 13 | 86 | |
| 14 | ClipKIT: A multiple sequence alignment trimming software for accurate phylogenomic inferencebreakdown → | 327 |
| 15 | 23 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 94 | |
| 19 | 95 | |
| 20 | 149 |
About Xing‐Xing Shen
Xing‐Xing Shen is a scholar working on Molecular Biology, Paleontology and Genetics, having authored 81 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (26 papers), Genetic diversity and population structure (14 papers) and Fungal and yeast genetics research (10 papers). The work is most often cited by research in Paleontology (333 citations), Ecology, Evolution, Behavior and Systematics (542 citations) and Molecular Biology (1.8k citations). Xing‐Xing Shen has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Antonis Rokas, Chris Todd Hittinger, Jacob L. Steenwyk, Yuanning Li, Xiaofan Zhou, Thomas J. Buida, Dan Liang, Jacek Kominek, Cletus P. Kurtzman and Dana A. Opulente. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.
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.