Xin Lin

1.4k citations
44 papers · 1.0k · h-index 12

Impact in

Papers in

    • Atmospheric chemistry and aerosols 8
    • Atmospheric Ozone and Climate 7
    • Single-cell and spatial transcriptomics 5
    • Gene expression and cancer classification 3

Xin Lin

38 papers receiving 875 citations

Peers

Xin Lin
Comparison fields: 5 of 110
  • Atmospheric Science 637
  • Health, Toxicology and Mutagenesis 267
  • Global and Planetary Change 387
  • Environmental Engineering 112
  • Automotive Engineering 76
Replace Kai Shi with:
Kai Shi China
Ruixiong Zhang China
Johan de Vries Netherlands
Yuntao Chen China
Seoyoung Lee South Korea
Haoyu Jin China
I. A. Podgorny United States
Wenxin Xie China
Ping Jing China
Xin Lin relative to Kai Shi China Kai Shi's profile →
Citations per field
00.5×2.8×
Kai Shi · 1×
Citations per year

Countries citing papers authored by Xin Lin

Since Specialization
Citations

This map shows the geographic impact of Xin 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 Xin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Lin more than expected).

Fields of papers citing papers by Xin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin 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 Xin Lin. The network helps show where Xin Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Xin 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 Xin Lin Line = papers co-authored together Xin Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988399
2 1996138
3 202091
4 201490
5 199669
6 202036
7 202224
8 199219
9 199619
10 199418
11 199816
12 202214
13 20127
14 20246
15 20236
16 20225
17 20205
18 20205
19 20175
20 20234

About Xin Lin

Xin Lin is a scholar working on Atmospheric Science, Molecular Biology, Oncology, Global and Planetary Change and Cancer Research, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (8 papers), Atmospheric Ozone and Climate (7 papers), Single-cell and spatial transcriptomics (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Atmospheric and Environmental Gas Dynamics (4 papers), Cancer-related molecular mechanisms research (3 papers), Gene expression and cancer classification (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Atmospheric Science (637 citations), Health, Toxicology and Mutagenesis (267 citations), Global and Planetary Change (387 citations), Environmental Engineering (112 citations) and Automotive Engineering (76 citations). Xin Lin has collaborated with scholars based in China, United States and Serbia. Frequent co-authors include M. Trainer, Cangzhi Jia, Zhiping Wang, E.‐Y. Hsie, S. A. McKeen, D. R. Blake, J. D. Bradshaw, G. L. Gregory, S. Smyth and Xuyang Chen. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Medicine, Frontiers in Nutrition, International Journal of Molecular Sciences and Bulletin of the American Meteorological Society.

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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