Sanghoon Song

4.5k citations
91 papers · 1.8k · h-index 23

Impact in

    • Advanced Electron Microscopy Techniques and Applications
  • Radiation top 1%
    • Advanced X-ray Imaging Techniques
    • X-ray Spectroscopy and Fluorescence Analysis

Papers in

    • Advanced X-ray Imaging Techniques 42
    • X-ray Spectroscopy and Fluorescence Analysis 16
    • Nuclear Physics and Applications 6
    • Advanced Electron Microscopy Techniques and Applications 21

Sanghoon Song

87 papers receiving 1.7k citations

Peers

Sanghoon Song
Comparison fields: 5 of 90
  • Structural Biology 268
  • Radiation 659
  • Nuclear and High Energy Physics 255
  • Condensed Matter Physics 207
  • Polymers and Plastics 198
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Sanghoon Song relative to James M. Glownia United States James M. Glownia's profile →
Citations per field
00.5×1.5×1.8×
James M. Glownia · 1×
Citations per year

Countries citing papers authored by Sanghoon Song

Since Specialization
Citations

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

Fields of papers citing papers by Sanghoon Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012172
2 2020134
3 2017127
4 2015117
5 198279
6 198367
7 200765
8 201364
9 201452
10 201850
11 201448
12 201548
13 201746
14 201540
15 201434
16 201626
17 201026
18 200825
19 201824
20 200724

About Sanghoon Song

Sanghoon Song is a scholar working on Radiation, Structural Biology, Materials Chemistry, Electrical and Electronic Engineering and Condensed Matter Physics, having authored 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced X-ray Imaging Techniques (42 papers), Advanced Electron Microscopy Techniques and Applications (21 papers), X-ray Spectroscopy and Fluorescence Analysis (16 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Crystallography and Radiation Phenomena (9 papers), Particle Accelerators and Free-Electron Lasers (7 papers), Laser-Plasma Interactions and Diagnostics (7 papers) and Nuclear Physics and Applications (6 papers). The work is most often cited by research in Structural Biology (268 citations), Radiation (659 citations), Nuclear and High Energy Physics (255 citations), Condensed Matter Physics (207 citations) and Polymers and Plastics (198 citations). Sanghoon Song has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include James M. Glownia, Hyunjung Kim, A. Robert, Marcin Sikorski, Matthieu Chollet, Roberto Alonso‐Mori, Diling Zhu, H. Lemke, Marco Cammarata and S. Nelson. Their work appears in journals such as Journal of Synchrotron Radiation, Journal of Clinical Oncology, Scientific Reports, Physical Review Letters and Nature Communications.

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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