David Su

494 citations
21 papers · 399 · h-index 10

Impact in

Papers in

David Su

20 papers receiving 374 citations

Peers

David Su
Comparison fields: 5 of 50
  • Structural Biology 102
  • Surfaces, Coatings and Films 98
  • Nuclear and High Energy Physics 109
  • Radiation 27
  • Materials Chemistry 117
Replace Jiaqi Qiu with:
Jiaqi Qiu China
Xi Yang United States
Koichi Kan Japan
M. Schürmann Germany
Marco Cautero Italy
Nathan A. Moody United States
Daniele Cocco Italy
Erik R. Kieft Netherlands
Roman Shayduk Germany
James R. Lewandowski United States
David Su relative to Jiaqi Qiu China Jiaqi Qiu's profile →
Citations per field
00.5×2×3×4.5×
Jiaqi Qiu · 1×
Citations per year

Countries citing papers authored by David Su

Since Specialization
Citations

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

Fields of papers citing papers by David Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005216
2 202129
3 201828
4 201916
5 199614
6 200213
7 202213
8 200910
9 202010
10 201910
11 20249
12 20047
13 20017
14 20196
15 20092
16 20032
17 20032
18 20182
19 20062
20 20111

About David Su

David Su is a scholar working on Nuclear and High Energy Physics, Structural Biology, Surfaces, Coatings and Films, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 21 papers that have together received 399 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (8 papers), Integrated Circuits and Semiconductor Failure Analysis (6 papers), Particle accelerators and beam dynamics (5 papers), Semiconductor materials and devices (5 papers), Superconducting Materials and Applications (4 papers), Electronic Packaging and Soldering Technologies (4 papers), Fusion materials and technologies (4 papers) and Advanced Electron Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Structural Biology (102 citations), Surfaces, Coatings and Films (98 citations), Nuclear and High Energy Physics (109 citations), Radiation (27 citations) and Materials Chemistry (117 citations). David Su has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Max T. Otten, Andreas Voigt, Remco H.M. Schoenmakers, J. P. Bradley, Anna Carlsson, Christian Kuebel, Xiaodi Du, Michael Van Zeeland, William Walter Heidbrink and Xi Chen. Their work appears in journals such as Nuclear Fusion, Microelectronics Reliability, Microscopy and Microanalysis, Materials Chemistry and Physics and Journal of Instrumentation.

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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