Ling Han

1.6k citations
65 papers · 1.1k · h-index 18

Impact in

Papers in

Ling Han

61 papers receiving 1.1k citations

Peers

Ling Han
Comparison fields: 5 of 135
  • Health, Toxicology and Mutagenesis 298
  • Environmental Engineering 155
  • Critical Care and Intensive Care Medicine 40
  • Speech and Hearing 56
  • Cancer Research 125
Replace Paolo Lauriola with:
Paolo Lauriola Italy
Roman Jandarov United States
Lingchuan Guo China
Xiaonan Zhang China
James Crooks United States
Leah H. Schinasi United States
Szu‐Chieh Chen Taiwan
Jie Ban China
Mengmeng Wang China
Sylvia Bernard United Kingdom
Ling Han relative to Paolo Lauriola Italy Paolo Lauriola's profile →
Citations per field
00.5×
Paolo Lauriola · 1×
Citations per year

Countries citing papers authored by Ling Han

Since Specialization
Citations

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

Fields of papers citing papers by Ling Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004141
2 2020136
3 2017102
4 202152
5 202145
6 201945
7 200741
8 202039
9 202234
10 202332
11 201931
12 202329
13 202023
14 201922
15 202321
16 202021
17 202020
18 201919
19 202217
20 202217

About Ling Han

Ling Han is a scholar working on Health, Toxicology and Mutagenesis, Ecology, Molecular Biology, Atmospheric Science and Environmental Engineering, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Climate Change and Health Impacts (15 papers), Air Quality and Health Impacts (14 papers), Atmospheric chemistry and aerosols (4 papers), Land Use and Ecosystem Services (4 papers), Soil Carbon and Nitrogen Dynamics (4 papers), Head and Neck Cancer Studies (3 papers), Rangeland Management and Livestock Ecology (3 papers) and Coastal wetland ecosystem dynamics (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (298 citations), Environmental Engineering (155 citations), Critical Care and Intensive Care Medicine (40 citations), Speech and Hearing (56 citations) and Cancer Research (125 citations). Ling Han has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhaobin Sun, Vincent Quagliarello, Heather Allore, Paul Van Ness, Mary E. Tinetti, Sandra Ginter, Xiaoling Zhang, Jingzheng Ren, Kai Fang and Hui‐Zhen Fu. Their work appears in journals such as The Science of The Total Environment, Atmospheric Environment, GeoHealth, Oral Oncology and Environmental Research Letters.

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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