Yan Su

69 papers receiving 4.1k citations

Hit Papers

Use of a cDNA microarray to analyse gene expression patterns in human cancer 1996 · 1.5k citations
1.5k199620262006201650010001.5k

Peers

Yan Su
Comparison fields: 5 of 168
  • Behavioral Neuroscience 189
  • Biological Psychiatry 122
  • Molecular Biology 2.4k
  • Cancer Research 384
  • Immunology 457
Replace Jiawei Wang with:
Jiawei Wang China
Dario Greco Finland
Sheng Zhang China
Feng Jin China
Carl K. Edwards United States
Manoj Bhasin United States
Roi Avraham Israel
Thottethodi Subrahmanya Keshava Prasad India
Christopher A. Smith United Kingdom
Yan Su relative to Jiawei Wang China Jiawei Wang's profile →
Citations per field
00.5×1.5×2.4×
Jiawei Wang · 1×
Citations per year

Countries citing papers authored by Yan Su

Since Specialization
Citations

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

Fields of papers citing papers by Yan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20241
4 20240
5 20241
6 202310
7 20230
8 20238
9 20216
10 20190
11 201634
12 20119
13 200958
14 2009142
15 2008132
16
Depression and anxiety before and after percutaneous coronary intervention and their relationship to age
20082
17 200814
18 1997227
19 199644
20 1994151

About Yan Su

Yan Su is a scholar working on Neuropsychology and Physiological Psychology, Internal Medicine, Biological Psychiatry, Behavioral Neuroscience and Molecular Biology, having authored 75 papers that have together received 4.2k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Gene expression and cancer classification (6 papers), Genomics and Chromatin Dynamics (5 papers), Molecular Biology Techniques and Applications (5 papers), RNA regulation and disease (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), RNA Interference and Gene Delivery (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Behavioral Neuroscience (189 citations), Biological Psychiatry (122 citations), Molecular Biology (2.4k citations), Cancer Research (384 citations) and Immunology (457 citations). Yan Su has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Jeffrey M. Trent, Paul S. Meltzer, Michael Bittner, Patrick O. Brown, Lolita Penland, Y Chen, Monika Ray, Joseph L. DeRisi, George P. Chrousos and Don B. Clewell. Their work appears in journals such as International Journal of Biological Sciences, Molecular Carcinogenesis, Frontiers in Neurology, Oncogene and Proceedings of the National Academy of Sciences.

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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