Xiaosen Jiang
Impact in
-
- Animal Nutrition and Physiology
Papers in
-
- Single-cell and spatial transcriptomics 4
- Genomics and Phylogenetic Studies 2
- RNA Research and Splicing 2
- CRISPR and Genetic Engineering 2
- RNA modifications and cancer 2
- Genetics 6
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Huanming Yang (2 shared papers)Yong Huang (1 shared paper)Lanqing Li (1 shared paper)Peilin Zhao (1 shared paper)Chenran Jiang (1 shared paper)Jiawen Zhang (1 shared paper)Jia Li (1 shared paper)José Martín Pujolar (1 shared paper)
In The Last Decade
Xiaosen Jiang
25 papers receiving 385 citations
Xiaosen Jiang's Hit Papers
Peers
Comparison fields: 5 of 94
- Physiology 17
- Animal Science and Zoology 36
- Aquatic Science 25
- Molecular Biology 203
- Genetics 75
Countries citing papers authored by Xiaosen Jiang
This map shows the geographic impact of Xiaosen Jiang'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 Xiaosen Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaosen Jiang more than expected).
Fields of papers citing papers by Xiaosen Jiang
This network shows the impact of papers produced by Xiaosen Jiang. 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 Xiaosen Jiang. The network helps show where Xiaosen Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaosen Jiang, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hierarchical graph learning for protein–protein interaction Hit paper breakdown → | 2023 | 107 |
| 2 | 2014 | 56 | |
| 3 | 2019 | 36 | |
| 4 | 2015 | 31 | |
| 5 | 2020 | 17 | |
| 6 | 2021 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2009 | 11 | |
| 10 | 2011 | 10 | |
| 11 | 2017 | 10 | |
| 12 | 2018 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2017 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2021 | 5 | |
| 20 | 2022 | 5 |
About Xiaosen Jiang
Xiaosen Jiang is a scholar working on Molecular Biology, Genetics, Surgery, Animal Science and Zoology and Epidemiology, having authored 28 papers that have together received 393 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Animal Nutrition and Physiology (3 papers), Genetic and phenotypic traits in livestock (2 papers), Genomics and Phylogenetic Studies (2 papers), RNA Research and Splicing (2 papers), CRISPR and Genetic Engineering (2 papers), RNA modifications and cancer (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Physiology (17 citations), Animal Science and Zoology (36 citations), Aquatic Science (25 citations), Molecular Biology (203 citations) and Genetics (75 citations). Xiaosen Jiang has collaborated with scholars based in China, Hong Kong and Czechia. Frequent co-authors include Huanming Yang, Yong Huang, Lanqing Li, Peilin Zhao, Chenran Jiang, Jiawen Zhang, Jia Li, José Martín Pujolar, Eyðfinn Magnussen and Jane Frydenberg. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, BMC Genomics, Frontiers in Genetics and iScience.
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.