Daniel T. Sun

2.5k citations
29 papers · 2.1k · h-index 20

Impact in

Papers in

Daniel T. Sun

27 papers receiving 2.1k citations

Peers

Daniel T. Sun
Comparison fields: 5 of 77
  • Inorganic Chemistry 1.1k
  • Water Science and Technology 424
  • Industrial and Manufacturing Engineering 256
  • Materials Chemistry 1.1k
  • Renewable Energy, Sustainability and the Environment 339
Replace Nishesh Kumar Gupta with:
Nishesh Kumar Gupta South Korea
Xianbiao Wang China
Yaguang Peng China
José Aguado Spain
The Ky Vo Vietnam
Jong Won Jun South Korea
Xinlong Yan China
Mathivathani Kandiah United Kingdom
Zong‐Qun Li China
Zachary J. Brown United States
Daniel T. Sun relative to Nishesh Kumar Gupta South Korea Nishesh Kumar Gupta's profile →
Citations per field
00.5×1.5×1.8×
Nishesh Kumar Gupta · 1×
Citations per year

Countries citing papers authored by Daniel T. Sun

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Sun'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 Daniel T. Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Sun more than expected).

Fields of papers citing papers by Daniel T. Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018355
2 2018286
3 2015198
4 2020180
5 2020175
6 2019153
7 202396
8 202090
9 201776
10 201963
11 201653
12 201751
13 201549
14 202148
15 202042
16 201841
17 201840
18 202039
19 202230
20 202222

About Daniel T. Sun

Daniel T. Sun is a scholar working on Inorganic Chemistry, Materials Chemistry, Mechanical Engineering, Renewable Energy, Sustainability and the Environment and Organic Chemistry, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (19 papers), Covalent Organic Framework Applications (10 papers), Advanced Photocatalysis Techniques (6 papers), Extraction and Separation Processes (4 papers), Nanomaterials for catalytic reactions (3 papers), Membrane Separation and Gas Transport (3 papers), Carbon dioxide utilization in catalysis (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Inorganic Chemistry (1.1k citations), Water Science and Technology (424 citations), Industrial and Manufacturing Engineering (256 citations), Materials Chemistry (1.1k citations) and Renewable Energy, Sustainability and the Environment (339 citations). Daniel T. Sun has collaborated with scholars based in Switzerland, United States and China. Frequent co-authors include Wendy L. Queen, Emad Oveisi, Shuliang Yang, Peng Li, David K. Britt, Olga Trukhina, Mehrdad Asgari, Natalia Gasilova, Seyed Mohamad Moosavi and Davide Tiana. Their work appears in journals such as Chemical Science, Chemistry of Materials, Chemical Communications, Journal of the American Chemical Society and ACS Central Science.

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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