Jin Da Tan
Impact in
- Organic Chemistry top 5%
- Radical Photochemical Reactions
- Catalytic C–H Functionalization Methods
- Sulfur-Based Synthesis Techniques
- Oxidative Organic Chemistry Reactions
- Synthesis and Catalytic Reactions
- Pharmaceutical Science top 5%
- Fluorine in Organic Chemistry
Papers in
-
- Radical Photochemical Reactions 4
- Catalytic C–H Functionalization Methods 2
- Sulfur-Based Synthesis Techniques 2
- Synthesis and Catalytic Reactions 1
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- Machine Learning in Materials Science 3
- Co-authors
- Jie Wu (4 shared papers)Jiawei Rong (2 shared papers)Haolin Wu (2 shared papers)Li‐Zhu Wu (2 shared papers)Quan Zhou (2 shared papers)Hairong Tao (2 shared papers)Hong‐Ping Deng (2 shared papers)Hongmei Su (2 shared papers)
In The Last Decade
Jin Da Tan
9 papers receiving 600 citations
Jin Da Tan's Hit Papers
Peers
Comparison fields: 5 of 53
- Organic Chemistry 469
- Pharmaceutical Science 72
- Renewable Energy, Sustainability and the Environment 70
- Inorganic Chemistry 49
- Materials Chemistry 112
Countries citing papers authored by Jin Da Tan
This map shows the geographic impact of Jin Da 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 Jin Da Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Da Tan more than expected).
Fields of papers citing papers by Jin Da Tan
This network shows the impact of papers produced by Jin Da 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 Jin Da Tan. The network helps show where Jin Da Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Da Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Eosin Y as a Direct Hydrogen‐Atom Transfer Photocatalyst for the Functionalization of C−H Bonds Hit paper breakdown → | 2018 | 375 |
| 2 | 2018 | 88 | |
| 3 | 2019 | 68 | |
| 4 | 2021 | 34 | |
| 5 | 2022 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2019 | 11 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 |
About Jin Da Tan
Jin Da Tan is a scholar working on Organic Chemistry, Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering and Information Systems and Management, having authored 9 papers that have together received 608 indexed citations. Recurring topics across this work include Radical Photochemical Reactions (4 papers), Machine Learning in Materials Science (3 papers), Organic Electronics and Photovoltaics (2 papers), Catalytic C–H Functionalization Methods (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Sulfur-Based Synthesis Techniques (2 papers), Synthesis and Catalytic Reactions (1 paper) and Advanced Photocatalysis Techniques (1 paper). The work is most often cited by research in Organic Chemistry (469 citations), Pharmaceutical Science (72 citations), Renewable Energy, Sustainability and the Environment (70 citations), Inorganic Chemistry (49 citations) and Materials Chemistry (112 citations). Jin Da Tan has collaborated with scholars based in Singapore, China and France. Frequent co-authors include Jie Wu, Jiawei Rong, Haolin Wu, Li‐Zhu Wu, Quan Zhou, Hairong Tao, Hong‐Ping Deng, Hongmei Su, Tingting Yang and Ganglong Cui. Their work appears in journals such as Angewandte Chemie International Edition, Advanced Functional Materials, ACS Energy Letters, Journal of Chemical Information and Modeling and Matter.
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.