Tan Tan

80 papers receiving 1.8k citations

Tan Tan's Hit Papers

Barriers to Building Information Modeling (BIM) implementation in China's prefabricated construction: An interpretive structural modeling (ISM) approach 2019 · 292 citations
2920+2+4Years since publication50100150200250

Peers

Tan Tan
Comparison fields: 5 of 160
  • Building and Construction 537
  • Management Science and Operations Research 320
  • Infectious Diseases 232
  • Architecture 21
  • Geology 74
Replace Lijuan Chen with:
Lijuan Chen China
Qian Chen China
Baoquan Cheng China
Robert Klein Germany
TK Chan China
Shu Su China
Na Wang China
Robert E. Johnson United States
Hua Zhong China
Byungil Kim South Korea
Tan Tan relative to Lijuan Chen China Lijuan Chen's profile →
Citations per field
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Lijuan Chen · 1×
Citations per year

Countries citing papers authored by Tan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Tan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020296
2
Barriers to Building Information Modeling (BIM) implementation in China's prefabricated construction: An interpretive structural modeling (ISM) approach
Hit paper breakdown →
2019292
3 2020151
4 202096
5 201686
6 201778
7 202062
8 202155
9 201649
10 201647
11 201140
12 202138
13 201337
14 201936
15 202225
16 201719
17 201919
18 201918
19 202118
20 201918

About Tan Tan

Tan Tan is a scholar working on Molecular Biology, Building and Construction, Cell Biology, Genetics and Cancer Research, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include BIM and Construction Integration (16 papers), Manufacturing Process and Optimization (7 papers), Construction Project Management and Performance (7 papers), Microtubule and mitosis dynamics (6 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (4 papers), Design Education and Practice (4 papers) and Aldose Reductase and Taurine (4 papers). The work is most often cited by research in Building and Construction (537 citations), Management Science and Operations Research (320 citations), Infectious Diseases (232 citations), Architecture (21 citations) and Geology (74 citations). Tan Tan has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Weisheng Lu, Ke Chen, Fan Xue, Grant Mills, Eleni Papadonikolaki, Luyan Chen, Qingyang Zhong, Qiuying Chen, Wenhui Huang and Bin Zhang. Their work appears in journals such as Journal of Management in Engineering, Gene, Chromosome Research, PLoS ONE and Recent Patents on Anti-Cancer Drug Discovery.

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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