Yi‐Shuan Sheen

782 total citations
42 papers, 462 citations indexed

About

Yi‐Shuan Sheen is a scholar working on Oncology, Dermatology and Molecular Biology. According to data from OpenAlex, Yi‐Shuan Sheen has authored 42 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 17 papers in Dermatology and 14 papers in Molecular Biology. Recurrent topics in Yi‐Shuan Sheen's work include Cutaneous Melanoma Detection and Management (13 papers), Melanoma and MAPK Pathways (6 papers) and Cancer and Skin Lesions (5 papers). Yi‐Shuan Sheen is often cited by papers focused on Cutaneous Melanoma Detection and Management (13 papers), Melanoma and MAPK Pathways (6 papers) and Cancer and Skin Lesions (5 papers). Yi‐Shuan Sheen collaborates with scholars based in Taiwan, United States and Switzerland. Yi‐Shuan Sheen's co-authors include Yi‐Hua Liao, Chia‐Yu Chu, Jau‐Yu Liau, Ming‐Hsien Lin, Jau‐Shiuh Chen, Shiou‐Hwa Jee, Jin‐Bon Hong, Yih‐Leong Chang, Hsin‐Yi Huang and Tsen‐Fang Tsai and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yi‐Shuan Sheen

35 papers receiving 455 citations

Peers

Yi‐Shuan Sheen
Comparison fields: 5 of 71
  • Oncology 214
  • Molecular Biology 197
  • Dermatology 151
  • Epidemiology 67
  • Cancer Research 52
Replace Pedram Yazdan with:
Pedram Yazdan United States
Steven J. Ohsie United States
Duncan Lambie Australia
Amy J. Petty United States
Salvio Serrano Spain
Ulrich M. Caroli Germany
Lucia Di Nardo Italy
Joanna E. Richards United States
Anne Walter Australia
Omar Salem Canada
Pedram Yazdan United States View profile →
Citations per field, relative to Yi‐Shuan Sheen
Yi‐Shuan Sheen · 1×
Citations per year, relative to Yi‐Shuan Sheen
Yi‐Shuan Sheen · 1×

Countries citing papers authored by Yi‐Shuan Sheen

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Shuan Sheen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Shuan Sheen. 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 Yi‐Shuan Sheen. The network helps show where Yi‐Shuan Sheen may publish in the future.

Co-authorship network of co-authors of Yi‐Shuan Sheen

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Shuan Sheen. A scholar is included among the top collaborators of Yi‐Shuan Sheen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yi‐Shuan Sheen. Yi‐Shuan Sheen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 0
6 1
7 1
8 2
9 3
10 10
11 1
12 18
13 39
14 16
15 11
16 29
17 10
18 37
19 10
20 10

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026