Xiaoting Jin

1.5k citations
63 papers · 1.2k · h-index 21

Impact in

    • Air Quality and Health Impacts
    • Climate Change and Health Impacts
    • Toxic Organic Pollutants Impact
    • Effects and risks of endocrine disrupting chemicals
  • Pollution top 5%
    • Energy and Environment Impacts

Papers in

Xiaoting Jin

58 papers receiving 1.2k citations

Peers

Xiaoting Jin
Comparison fields: 5 of 117
  • Health, Toxicology and Mutagenesis 558
  • Pollution 191
  • Cancer Research 98
  • Environmental Engineering 85
  • Molecular Biology 307
Replace Qian S. Liu with:
Qian S. Liu China
Jining Liu China
Yong‐Dae Kim South Korea
Thomas Petry United States
Yuan Wu China
Kasuke Nagano Japan
Xabier Arzuaga United States
Yong‐Hak Kim South Korea
Lauren Petrick United States
Xiaoting Jin relative to Qian S. Liu China Qian S. Liu's profile →
Citations per field
00.5×10×15×20×23×
Qian S. Liu · 1×
Citations per year

Countries citing papers authored by Xiaoting Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016100
2 201884
3 201578
4 201674
5 201956
6 201754
7 201445
8 202139
9 201536
10 201932
11 201332
12 202029
13 202029
14 201427
15 201426
16 201725
17 201424
18 202023
19 202123
20 201922

About Xiaoting Jin

Xiaoting Jin is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Pollution, Immunology and Oncology, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (21 papers), Climate Change and Health Impacts (9 papers), Energy and Environment Impacts (8 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Nanoparticles: synthesis and applications (4 papers), Toxic Organic Pollutants Impact (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Air Quality Monitoring and Forecasting (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (558 citations), Pollution (191 citations), Cancer Research (98 citations), Environmental Engineering (85 citations) and Molecular Biology (307 citations). Xiaoting Jin has collaborated with scholars based in China, Pakistan and Germany. Frequent co-authors include Zhuoyu Li, Ruijun Su, Li Song, Qunfang Zhou, Xiaona Liu, Meilan Chen, Long Cheng, Huilan Su, Bin Xue and Weifang Zhang. Their work appears in journals such as Environmental Science & Technology, Chemosphere, Environmental Pollution, Journal of Hazardous Materials and The Science of The Total Environment.

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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