Sang‐Do Yeo

2.1k citations
35 papers · 1.8k indexed · h-index 19

Sang‐Do Yeo

35 papers receiving 1.7k citations

Peers

Sang‐Do Yeo
Comparison fields: 5 of 93
  • Pharmaceutical Science 243
  • Catalysis 190
  • Biomedical Engineering 1.2k
  • Spectroscopy 406
  • Polymers and Plastics 332
Replace M. Perrut with:
M. Perrut France
Michael Türk Germany
Jean‐jacques Letourneau France
Muoi Tang Taiwan
Mark C. Thies United States
Takeshi Furuya Japan
Paolo Alessi Italy
Pascale Subra France
Nadia Esfandiari Iran
Albertina Cabañas Spain
Sang‐Do Yeo relative to M. Perrut France M. Perrut's profile →
Citations per field
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M. Perrut · 1×
Citations per year

Countries citing papers authored by Sang‐Do Yeo

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Do Yeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Do Yeo. 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 Sang‐Do Yeo. The network helps show where Sang‐Do Yeo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20173
4 20146
5 201113
6 20105
7 201046
8 201019
9 200815
10 200637
11 2004444
12 200370
13 200353
14 200210
15 200014
16 200092
17 199863
18 199459
19 1993255
20 1993110

About Sang‐Do Yeo

Sang‐Do Yeo is a scholar working on Spectroscopy, Biomedical Engineering, Filtration and Separation, Catalysis and Materials Chemistry, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (18 papers), Analytical Chemistry and Chromatography (14 papers), Crystallization and Solubility Studies (14 papers), Subcritical and Supercritical Water Processes (6 papers), Adsorption, diffusion, and thermodynamic properties of materials (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Polymer Foaming and Composites (3 papers) and Mesoporous Materials and Catalysis (3 papers). The work is most often cited by research in Pharmaceutical Science (243 citations), Catalysis (190 citations), Biomedical Engineering (1.2k citations), Spectroscopy (406 citations) and Polymers and Plastics (332 citations). Sang‐Do Yeo has collaborated with scholars based in South Korea, United States and Türkiye. Frequent co-authors include Erdoǧan Kiran, Pablo G. Debenedetti, Howard Bernstein, Gio‐Bin Lim, Jean W. Tom, Sujin Park, Minwoo Park, Jong‐Chan Lee, Jae Chang Kim and Jin‐Woo Kim. Their work appears in journals such as Separation Science and Technology, The Journal of Supercritical Fluids, Korean Journal of Chemical Engineering, Journal of Chemical & Engineering Data and Process Safety and Environmental Protection.

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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