Xiaorong Lin
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Infectious Diseases top 0.5%
- Plant Science top 2%
- Cell Biology top 1%
- Co-authors
- Joseph HeitmanLinqi WangBing ZhaiChristina M. HullYumeng FanAlexander IdnurmKirsten NielsenSrijana Upadhyay
- Topics
- Fungal Infections and Studies (83 papers)Antifungal resistance and susceptibility (52 papers)Plant Pathogens and Fungal Diseases (25 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Xiaorong Lin
139 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Epidemiology 2.7k
- Molecular Biology 2.1k
- Infectious Diseases 1.9k
- Plant Science 1.4k
- Cell Biology 1.0k
Countries citing papers authored by Xiaorong Lin
This map shows the geographic impact of Xiaorong Lin'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 Xiaorong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaorong Lin more than expected).
Fields of papers citing papers by Xiaorong Lin
This network shows the impact of papers produced by Xiaorong Lin. 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 Xiaorong Lin. The network helps show where Xiaorong Lin may publish in the future.
Co-authorship network of co-authors of Xiaorong Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaorong Lin. A scholar is included among the top collaborators of Xiaorong Lin 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 Xiaorong Lin. Xiaorong Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Cancer cell-derived arginine fuels polyamine biosynthesis in tumor-associated macrophages to promote immune evasionbreakdown → | 26 |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | A high-fat diet promotes cancer progression by inducing gut microbiota–mediated leucine production and PMN-MDSC differentiationbreakdown → | 57 |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 14 | |
| 13 | 13 | |
| 14 | 128 | |
| 15 | 43 | |
| 16 | 21 | |
| 17 | 39 | |
| 18 | miR-200b regulates epithelial-mesenchymal transition of chemo-resistant breast cancer cells by targeting FN1. | 55 |
| 19 | 43 | |
| 20 | 148 |
About Xiaorong Lin
Xiaorong Lin is a scholar working on Infectious Diseases, Epidemiology and Cell Biology, having authored 144 papers that have together received 5.3k indexed citations. Recurring topics across this work include Fungal Infections and Studies (83 papers), Antifungal resistance and susceptibility (52 papers) and Plant Pathogens and Fungal Diseases (25 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Epidemiology (2.7k citations) and Cell Biology (1.0k citations). Xiaorong Lin has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Joseph Heitman, Linqi Wang, Bing Zhai, Christina M. Hull, Yumeng Fan, Alexander Idnurm, Kirsten Nielsen, Srijana Upadhyay, Youbao Zhao and Thomas G. Mitchell. Their work appears in journals such as Nature, 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.