Peng Nie

75 papers receiving 1.3k citations

Peers

Peng Nie
Comparison fields: 5 of 129
  • Business and International Management 32
  • General Agricultural and Biological Sciences 121
  • Pollution 164
  • Health 89
  • Economics and Econometrics 290
Replace María Emma Santos with:
María Emma Santos Argentina
Christel M. J. Vermeersch United States
David Newhouse United States
Kenneth Harttgen Switzerland
Mario Biggeri Italy
Dean Jolliffe United States
Birte Snilstveit United States
Yasuyuki Sawada Japan
Robert Sparrow Netherlands
Lochner Marais South Africa
Peng Nie relative to María Emma Santos Argentina María Emma Santos's profile →
Citations per field
00.5×3.6×
María Emma Santos · 1×
Citations per year

Countries citing papers authored by Peng Nie

Since Specialization
Citations

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

Fields of papers citing papers by Peng Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020177
2 2020123
3 2021115
4 2020105
5 201689
6 202058
7 202154
8 202049
9 202143
10 201638
11 202334
12 201930
13 201929
14 202126
15 202021
16 201921
17 201619
18 202419
19 201918
20 202217

About Peng Nie

Peng Nie is a scholar working on General Health Professions, Sociology and Political Science, Health, Social Psychology and Public Health, Environmental and Occupational Health, having authored 79 papers that have together received 1.3k indexed citations. Recurring topics across this work include Health disparities and outcomes (13 papers), Psychological Well-being and Life Satisfaction (12 papers), Global Health Care Issues (11 papers), Obesity, Physical Activity, Diet (9 papers), Demographic Trends and Gender Preferences (8 papers), Child Nutrition and Water Access (7 papers), Energy and Environment Impacts (6 papers) and Poverty, Education, and Child Welfare (5 papers). The work is most often cited by research in Business and International Management (32 citations), General Agricultural and Biological Sciences (121 citations), Pollution (164 citations), Health (89 citations) and Economics and Econometrics (290 citations). Peng Nie has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Alfonso Sousa‐Poza, Wanglin Ma, Haiyang Lu, Alan Renwick, Pei Zhang, Long Qian, Galit Nimrod, Lanlin Ding, Jingyun Li and Guilin Liu. Their work appears in journals such as International Journal of Environmental Research and Public Health, Economics & Human Biology, China Economic Review, PLoS ONE and BMC Geriatrics.

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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