Lin Dan

43 total papers · 413 total citations
15 papers, 200 citations indexed

About

Lin Dan is a scholar working on Global and Planetary Change, Political Science and International Relations and Sociology and Political Science. According to data from OpenAlex, Lin Dan has authored 15 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 2 papers in Political Science and International Relations and 2 papers in Sociology and Political Science. Recurrent topics in Lin Dan's work include Land Use and Ecosystem Services (4 papers), Atmospheric chemistry and aerosols (2 papers) and Conservation, Biodiversity, and Resource Management (2 papers). Lin Dan is often cited by papers focused on Land Use and Ecosystem Services (4 papers), Atmospheric chemistry and aerosols (2 papers) and Conservation, Biodiversity, and Resource Management (2 papers). Lin Dan collaborates with scholars based in China, United States and Thailand. Lin Dan's co-authors include David G. Simmons, Shuang Wang, Aidan While, Jianchun Pan, Jiayin Zhu, Xianqin Wang, Faqing Ye, Guoxin Hu, Vilas Nitivattananon and Kaley A. Walker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Tourism Management and International Journal of Environmental Research and Public Health.

In The Last Decade

Lin Dan

15 papers receiving 197 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lin Dan	72	71	39	34	24	15	200
Ashmita Das	144 2.0×	162 2.3×	20 0.5×	17 0.5×	57 2.4×	31	281
Eleanor Robson	31 0.4×	105 1.5×	11 0.3×	17 0.5×	5 0.2×	13	207
Patrick Nolan	27 0.4×	94 1.3×	19 0.5×	17 0.5×	11 0.5×	33	284
Lu Zhang	26 0.4×	24 0.3×	22 0.6×	9 0.3×	15 0.6×	13	198
Joan Lisa Bromberg	19 0.3×	37 0.5×	19 0.5×	13 0.4×	13 0.5×	30	202
Kosta Tsipis	30 0.4×	21 0.3×	18 0.5×	9 0.3×	2 0.1×	45	219
Robert Murphy	23 0.3×	34 0.5×	11 0.3×	60 1.8×	3 0.1×	23	200
Maria T. Patterson	9 0.1×	116 1.6×	4 0.1×	26 0.8×	6 0.3×	12	189
M. Solarz	37 0.5×	11 0.2×	26 0.7×	8 0.2×	3 0.1×	27	192
Wei Yuan	46 0.6×	51 0.7×	11 0.3×	4 0.1×	11 0.5×	23	184

Countries citing papers authored by Lin Dan

Since Specialization

Citations

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

Fields of papers citing papers by Lin Dan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Dan

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Dan. A scholar is included among the top collaborators of Lin Dan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lin Dan. Lin Dan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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