S.X. Yan

1.7k citations
31 papers · 1.3k · h-index 12

Impact in

    • Protein Degradation and Inhibitors
    • RNA Interference and Gene Delivery
    • Histone Deacetylase Inhibitors Research
    • RNA Research and Splicing
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer

Papers in

S.X. Yan

28 papers receiving 1.3k citations

Peers

S.X. Yan
Comparison fields: 5 of 100
  • Molecular Biology 933
  • Molecular Medicine 57
  • Hematology 119
  • Cancer Research 153
  • Virology 39
Replace H.A. Lewis with:
H.A. Lewis United States
Takashi Umehara Japan
Lihao Meng United States
Laurel Mydock‐McGrane United States
Christian K. Frese Germany
Lina Abi-Mosleh United States
Astrid Osen‐Sand Switzerland
Katja Kuhlmann Germany
Arjun Ray India
Catherine L. Worth Germany
S.X. Yan relative to H.A. Lewis United States H.A. Lewis's profile →
Citations per field
00.5×4.4×
H.A. Lewis · 1×
Citations per year

Countries citing papers authored by S.X. Yan

Since Specialization
Citations

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

Fields of papers citing papers by S.X. Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003362
2 2004259
3 2008199
4 2005114
5 2006107
6 201950
7 200344
8 201529
9 201426
10 200226
11 201626
12 201313
13 20197
14 20205
15 20204
16 20183
17 20243
18 20232
19 20222
20 20231

About S.X. Yan

S.X. Yan is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (7 papers), Advanced Radiotherapy Techniques (6 papers), Breast Cancer Treatment Studies (4 papers), Protein Degradation and Inhibitors (3 papers), Head and Neck Cancer Studies (3 papers), Medical Imaging and Pathology Studies (2 papers), Cancer-related Molecular Pathways (2 papers) and Esophageal Cancer Research and Treatment (2 papers). The work is most often cited by research in Molecular Biology (933 citations), Molecular Medicine (57 citations), Hematology (119 citations), Cancer Research (153 citations) and Virology (39 citations). S.X. Yan has collaborated with scholars based in United States, China and Tunisia. Frequent co-authors include Ming‐Ming Zhou, Lei Zeng, Amjad Farooq, Kelley S. Yan, Arnold Han, Shiraz Mujtaba, James E. Galvin, Neeraj Pandey, Sachchidanand Sachchidanand and Olga Plotnikova. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Lung Cancer, Practical Radiation Oncology, SpringerPlus and Journal of the American Chemical Society.

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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