Dan Pan

19 papers receiving 392 citations

Dan Pan's Hit Papers

Time Preferences and green agricultural technology adoption: Field evidence from rice farmers in China 2021 · 154 citations
1540+1+3Years since publication50100150

Peers

Dan Pan
Comparison fields: 5 of 99
  • General Agricultural and Biological Sciences 88
  • Business and International Management 10
  • Soil Science 35
  • Industrial and Manufacturing Engineering 30
  • Management, Monitoring, Policy and Law 39
Replace Ruiyao Ying with:
Ruiyao Ying China
Sinead Mellett Ireland
Pablo Elverdin Uganda
Joaquín Arias Uganda
Brian Moran Ireland
Marco V. Sánchez United States
Régio Márcio Toesca Gimenes Brazil
Annalisa De Boni Italy
Laura Wellesley United Kingdom
Tongzhe Li Canada
Dan Pan relative to Ruiyao Ying China Ruiyao Ying's profile →
Citations per field
00.5×
Ruiyao Ying · 1×
Citations per year

Countries citing papers authored by Dan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Dan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Time Preferences and green agricultural technology adoption: Field evidence from rice farmers in China
Hit paper breakdown →
2021154
2 201652
3 200937
4 202130
5 200727
6 201717
7 202017
8 201717
9 202115
10
Agricultural Total Factor Productivity Growth in China under the Binding of Resource and Environment
20139
11 20198
12 20205
13 20204
14 20243
15 20112
16 20212
17 20201
18 20231
19 20201
20 20220

About Dan Pan

Dan Pan is a scholar working on Molecular Biology, Genetics, Economics and Econometrics, Endocrine and Autonomic Systems and Ecology, having authored 20 papers that have together received 402 indexed citations. Recurring topics across this work include Agricultural Innovations and Practices (3 papers), Economic and Environmental Valuation (3 papers), High Altitude and Hypoxia (3 papers), Long-Term Effects of COVID-19 (2 papers), COVID-19 Clinical Research Studies (2 papers), Circadian rhythm and melatonin (2 papers), Mechanical Circulatory Support Devices (2 papers) and Animal Nutrition and Physiology (1 paper). The work is most often cited by research in General Agricultural and Biological Sciences (88 citations), Business and International Management (10 citations), Soil Science (35 citations), Industrial and Manufacturing Engineering (30 citations) and Management, Monitoring, Policy and Law (39 citations). Dan Pan has collaborated with scholars based in China, France and United States. Frequent co-authors include Ruiyao Ying, Hui Mao, Li Zhou, Liguo Zhang, Ning Zhang, Perrin Baker, Weijun Wang, Stephen Y. K. Seah, Jason Carere and Zuhui Huang. Their work appears in journals such as Sustainability, Poultry Science, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, International Journal of Biological Macromolecules and Agribusiness.

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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