Xiaorong Lin

7.7k citations
152 papers · 5.7k · 2 hit papers · h-index 42

Impact in

Papers in

Xiaorong Lin

145 papers receiving 5.7k citations

Xiaorong Lin's Hit Papers

Cancer cell-derived arginine fuels polyamine biosynthesis in tumor-associated macrophages to promote immune evasion 2025 · 57 citations
570+1Years since publication204060

Peers

Xiaorong Lin
Comparison fields: 5 of 121
  • Infectious Diseases 2.0k
  • Epidemiology 2.8k
  • Cell Biology 1.1k
  • Plant Science 1.5k
  • Cancer Research 457
Replace Richard J. Bennett with:
Richard J. Bennett United States
Peter R. Williamson United States
André Nantel Canada
María E. Cárdenas United States
Guanghua Huang China
Nir Osherov Israel
Tamara L. Doering United States
Yun C. Chang United States
Daniel Dignard Canada
Julianne T. Djordjevic Australia
Xiaorong Lin relative to Richard J. Bennett United States Richard J. Bennett's profile →
Citations per field
00.5×1.5×1.8×
Richard J. Bennett · 1×
Citations per year

Countries citing papers authored by Xiaorong Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Xiaorong Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaorong Lin Line = papers co-authored together Xiaorong Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005338
2 2006306
3 2005280
4 2012153
5 2021145
6 2020143
7 2019134
8 2009131
9 2007115
10 2012111
11 2006111
12 2006107
13 2010105
14 2018100
15 2009100
16 200987
17 200384
18 201183
19 201979
20 201077

About Xiaorong Lin

Xiaorong Lin is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Plant Science and Cell Biology, having authored 152 papers that have together received 5.7k indexed citations. Recurring topics across this work include Fungal Infections and Studies (84 papers), Antifungal resistance and susceptibility (50 papers), Plant Pathogens and Fungal Diseases (28 papers), Yeasts and Rust Fungi Studies (18 papers), Plant-Microbe Interactions and Immunity (14 papers), Nail Diseases and Treatments (14 papers), Plant Disease Resistance and Genetics (14 papers) and Cancer-related molecular mechanisms research (9 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Epidemiology (2.8k citations), Cell Biology (1.1k citations), Plant Science (1.5k citations) and Cancer Research (457 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, Kirsten Nielsen, Alexander Idnurm, Youbao Zhao, Thomas G. Mitchell and Srijana Upadhyay. Their work appears in journals such as mBio, PLoS Pathogens, PLoS Genetics, Fungal Genetics and Biology and Eukaryotic Cell.

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.

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