Min Lian

3.0k citations
65 papers · 2.2k · h-index 26

Impact in

  • Health top 2%
    • Health disparities and outcomes
  • Oncology top 5%
    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection

Papers in

    • Global Cancer Incidence and Screening 13
    • Colorectal Cancer Screening and Detection 6
    • Cancer Risks and Factors 4
    • Health disparities and outcomes 7

Min Lian

63 papers receiving 2.1k citations

Peers

Min Lian
Comparison fields: 5 of 148
  • Health 223
  • Oncology 487
  • Neurology 260
  • Transportation 106
  • Health, Toxicology and Mutagenesis 155
Replace Min Gao with:
Min Gao China
Beverly M. Snively United States
Pablo Emilio Verde Germany
Shima Shahjouei United States
Eszter P. Vamos United Kingdom
Jean G. Ford United States
Leslie K. Dennis United States
Yanjun Bao United States
Ivar Heuch Norway
Mojgan Karbakhsh Iran
Min Lian relative to Min Gao China Min Gao's profile →
Citations per field
00.5×10×15×21.2×
Min Gao · 1×
Citations per year

Countries citing papers authored by Min Lian

Since Specialization
Citations

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

Fields of papers citing papers by Min Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min Lian, 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 Min Lian Line = papers co-authored together Min Lian 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 2010323
2 2012195
3 2010118
4 2010100
5 202196
6 200887
7 201480
8 201171
9 201168
10 201661
11 200859
12 200859
13 201350
14 202049
15 201548
16 201245
17 202043
18 201638
19 201637
20 202036

About Min Lian

Min Lian is a scholar working on Oncology, Health, Epidemiology, Cancer Research and Physiology, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (13 papers), Health disparities and outcomes (7 papers), Breast Cancer Treatment Studies (6 papers), Colorectal Cancer Screening and Detection (6 papers), Smoking Behavior and Cessation (4 papers), Data-Driven Disease Surveillance (4 papers), Cancer Risks and Factors (4 papers) and Urban Transport and Accessibility (3 papers). The work is most often cited by research in Health (223 citations), Oncology (487 citations), Neurology (260 citations), Transportation (106 citations) and Health, Toxicology and Mutagenesis (155 citations). Min Lian has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Mario Schootman, Brad A. Racette, Allison W. Willis, Bradley Evanoff, Ying Liu, Susan R. Criswell, Donna B. Jeffe, Chyke A. Doubeni, Jacqueline M. Major and Yikyung Park. Their work appears in journals such as Breast Cancer Research and Treatment, Cancer Epidemiology Biomarkers & Prevention, PLoS ONE, American Journal of Epidemiology and JAMA Network 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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