Si Yan

17 papers receiving 603 citations

Peers

Si Yan
Comparison fields: 5 of 73
  • Spectroscopy 378
  • Nuclear and High Energy Physics 168
  • Biophysics 53
  • Radiology, Nuclear Medicine and Imaging 99
  • Virology 19
Replace Evan R. McCarney with:
Evan R. McCarney United States
Marco Rogowski Switzerland
Emeline Barbet‐Massin France
María Luisa Tasayco United States
Bibhuti B. Das United States
Tairan Yuwen Canada
Pavel Kadeřávek Czechia
Ségolène Laage France
Nick Soffe United Kingdom
Jonathan C. Lansing United States
Si Yan relative to Evan R. McCarney United States Evan R. McCarney's profile →
Citations per field
00.5×1.5×2×2.3×
Evan R. McCarney · 1×
Citations per year

Countries citing papers authored by Si Yan

Since Specialization
Citations

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

Fields of papers citing papers by Si Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2013151
2 201370
3 201365
4 201155
5 202447
6 201544
7 201939
8 201234
9 201130
10 201317
11 202415
12 201112
13 201412
14 20135
15 20253
16 20242
17 20242
18 20250
19 20240

About Si Yan

Si Yan is a scholar working on Spectroscopy, Radiology, Nuclear Medicine and Imaging, Cell Biology, Nuclear and High Energy Physics and Molecular Biology, having authored 19 papers that have together received 603 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (11 papers), Microtubule and mitosis dynamics (6 papers), NMR spectroscopy and applications (5 papers), Advanced MRI Techniques and Applications (5 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Protein Degradation and Inhibitors (2 papers), Protein Structure and Dynamics (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Spectroscopy (378 citations), Nuclear and High Energy Physics (168 citations), Biophysics (53 citations), Radiology, Nuclear Medicine and Imaging (99 citations) and Virology (19 citations). Si Yan has collaborated with scholars based in United States, China and Estonia. Frequent co-authors include Tatyana Polenova, Guangjin Hou, Jean‐Paul Amoureux, Julien Trébosc, John C. Williams, Sivakumar Paramasivam, Huilan Zhang, Shangjin Sun, Christopher L. Suiter and Alexander J. Vega. Their work appears in journals such as Journal of the American Chemical Society, Proceedings of the National Academy of Sciences, European Journal of Medicinal Chemistry, Journal of Magnetic Resonance and Clinical Interventions in Aging.

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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