Alan Yan

1.5k citations
14 papers · 1.2k indexed · h-index 12

Impact in

  • Oncology top 2%
    • Lymphatic System and Diseases
  • Physiology top 10%
    • Sympathectomy and Hyperhidrosis Treatments

Papers in

Alan Yan

13 papers receiving 1.2k citations

Peers

Alan Yan
Comparison fields: 5 of 80
  • Oncology 1.1k
  • Physiology 358
  • Surgery 544
  • Pathology and Forensic Medicine 187
  • Occupational Therapy 32
Replace Jamie C. Zampell with:
Jamie C. Zampell United States
Sanjay V. Daluvoy United States
Russell H. Mellor United Kingdom
Natalya Lyubynska United States
Ruolin Guo United States
Maria Antsiferova Switzerland
Geoffrey W. Krampitz United States
Rachana Pradhan United States
Yuri Akishima‐Fukasawa Japan
A. Soleiman Austria
Alan Yan relative to Jamie C. Zampell United States Jamie C. Zampell's profile →
Citations per field
00.5×1.5×
Jamie C. Zampell · 1×
Citations per year

Countries citing papers authored by Alan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Alan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Alan 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 Alan Yan Line = papers co-authored together Alan Yan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20130
2 2012150
3 2012184
4 2012188
5 201189
6 201172
7 201148
8 201169
9 201164
10 201159
11 2010153
12 2010121
13 201023
14 20101

About Alan Yan

Alan Yan is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Physiology and Clinical Biochemistry, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lymphatic System and Diseases (12 papers), Sympathectomy and Hyperhidrosis Treatments (4 papers), Systemic Sclerosis and Related Diseases (4 papers), Body Contouring and Surgery (3 papers), Mesenchymal stem cell research (2 papers), Neonatal Respiratory Health Research (2 papers), Effects of Radiation Exposure (2 papers) and Skin and Cellular Biology Research (1 paper). The work is most often cited by research in Oncology (1.1k citations), Physiology (358 citations), Surgery (544 citations), Pathology and Forensic Medicine (187 citations) and Occupational Therapy (32 citations). Alan Yan has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Babak J. Mehrara, Tomer Avraham, Jamie C. Zampell, Evan Weitman, Sonia Elhadad, Seth Z. Aschen, Stanley G. Rockson, Sanjay V. Daluvoy, Yosef S. Haviv and Jacqueline Bromberg. Their work appears in journals such as The FASEB Journal, American Journal of Physiology-Cell Physiology, PLoS ONE, Future Oncology and Plastic & Reconstructive Surgery.

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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