Li Ling

5.1k citations
116 papers · 2.9k · 1 hit paper · h-index 27

Impact in

  • Finance top 1%
    • Healthcare Systems and Reforms
  • Health top 5%
    • Health disparities and outcomes

Papers in

Li Ling

105 papers receiving 2.8k citations

Li Ling's Hit Papers

A research agenda for aging in China in the 21st century 2015 · 511 citations
5110+3+7Years since publication100200300400500

Peers

Li Ling
Comparison fields: 5 of 170
  • Finance 534
  • Health 198
  • General Health Professions 539
  • Biological Psychiatry 34
  • Clinical Psychology 243
Replace Joseph L. Dieleman with:
Joseph L. Dieleman United States
Donglan Zhang United States
Qunhong Wu China
Chengchao Zhou China
Yuanli Liu China
Tin Tin Su Malaysia
Clas Rehnberg Sweden
Tsung-Mei Cheng United States
Salma M. Abdalla United States
Gopalakrishnan Netuveli United Kingdom
Li Ling relative to Joseph L. Dieleman United States Joseph L. Dieleman's profile →
Citations per field
00.5×5.7×
Joseph L. Dieleman · 1×
Citations per year

Countries citing papers authored by Li Ling

Since Specialization
Citations

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

Fields of papers citing papers by Li Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A research agenda for aging in China in the 21st century
Hit paper breakdown →
2015511
2 2007347
3 2017191
4 202099
5 201483
6 201883
7 200981
8 202068
9 201662
10 201761
11 201457
12 200953
13 201752
14 201948
15 201347
16 202146
17 201645
18 201941
19 202340
20 202039

About Li Ling

Li Ling is a scholar working on General Health Professions, Finance, Clinical Psychology, Health, Toxicology and Mutagenesis and Physiology, having authored 116 papers that have together received 2.9k indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (12 papers), Global Health Care Issues (7 papers), Climate Change and Health Impacts (6 papers), Migration, Health and Trauma (5 papers), Migration and Labor Dynamics (4 papers), Employment and Welfare Studies (4 papers), COVID-19 and Mental Health (4 papers) and Healthcare Policy and Management (3 papers). The work is most often cited by research in Finance (534 citations), Health (198 citations), General Health Professions (539 citations), Biological Psychiatry (34 citations) and Clinical Psychology (243 citations). Li Ling has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongqiao Fu, Wen Chen, Karen Eggleston, Qingyue Meng, Adam Wagstaff, Magnus Lindelöw, Heiko J. Jahn, Huiming Lu, Vilhelm A. Bohr and Tzi Bun Ng. Their work appears in journals such as BMC Public Health, International Journal of Environmental Research and Public Health, PLoS ONE, Frontiers in Psychiatry and BMJ Open.

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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