Guihong Wan

601 total citations
37 papers, 155 citations indexed

About

Guihong Wan is a scholar working on Oncology, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Guihong Wan has authored 37 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 8 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Guihong Wan's work include Cancer Immunotherapy and Biomarkers (11 papers), Blind Source Separation Techniques (8 papers) and Cutaneous Melanoma Detection and Management (8 papers). Guihong Wan is often cited by papers focused on Cancer Immunotherapy and Biomarkers (11 papers), Blind Source Separation Techniques (8 papers) and Cutaneous Melanoma Detection and Management (8 papers). Guihong Wan collaborates with scholars based in United States, Sweden and Hungary. Guihong Wan's co-authors include Haim Schweitzer, Yevgeniy R. Semenov, Shawn G. Kwatra, Kerry L. Reynolds, Feng Liu, Jing Xiang, Ahmad Rajeh, Dongqing Wang, Bonnie W. Leung and Hang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute and The Lancet Oncology.

In The Last Decade

Guihong Wan

29 papers receiving 155 citations

Peers

Guihong Wan

ONCOL

DERMA

IMMUN

Anna Sokolova Australia

S. Malini India

Ilaria Gandin Italy

Xu-Ran Zhao China

Ajay Patel Netherlands

Vincent Peter C. Magboo Philippines

C. Antonio Sánchez Canada

Sungtae Kim South Korea

Donghoon Yu South Korea

Melanie Fediuk Austria

Anna Sokolova Australia

Guihong Wan

73 ×1.3

ONCOL

9 ×0.4

DERMA

29 ×1.3

16 ×0.7

4 ×0.2

IMMUN

Citations per year, relative to Guihong Wan Guihong Wan (= 1×) peers Anna Sokolova

Countries citing papers authored by Guihong Wan

Since Specialization

Citations

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

Fields of papers citing papers by Guihong Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guihong Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Guihong Wan. A scholar is included among the top collaborators of Guihong Wan 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 Guihong Wan. Guihong Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wan, Guihong, Bonnie W. Leung, Marjan Azin, et al.. (2025). Long-term mortality outcomes among immunotherapy recipients treated with dupilumab for the management of cutaneous immune-related adverse events. Journal for ImmunoTherapy of Cancer. 13(5). e010638–e010638. 3 indexed citations

Wan, Guihong, Zoltan Maliga, Tuulia Vallius, et al.. (2024). SpatialCells: automated profiling of tumor microenvironments with spatially resolved multiplexed single-cell data. Briefings in Bioinformatics. 25(3). 2 indexed citations

Wan, Guihong, Wei Mao, Yevgeniy R. Semenov, & Haim Schweitzer. (2024). Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23673–23675. 2 indexed citations

Roster, Katie, et al.. (2024). 50938 Risk factors and prognostication of thin melanomas. Journal of the American Academy of Dermatology. 91(3). AB5–AB5.

Mao, Wei, Guihong Wan, & Haim Schweitzer. (2024). Graph Clustering Methods Derived from Column Subset Selection (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23573–23575. 1 indexed citations

Wan, Guihong, Katie Roster, Nga Nguyen, et al.. (2024). Multi-organ immune-related adverse events from immune checkpoint inhibitors and their downstream implications: a retrospective multicohort study. The Lancet Oncology. 25(8). 1053–1069. 34 indexed citations

Li, Xiaotong, et al.. (2024). Approved natural products-derived nanomedicines for disease treatment. Chinese Journal of Natural Medicines. 22(12). 1100–1116. 3 indexed citations

Wan, Guihong, Bonnie Leung, Chenhong Lin, et al.. (2024). 208 Dupilumab for managing cutaneous immunotherapy toxicities does not impact mortality. Journal of Investigative Dermatology. 144(8). S36–S36. 1 indexed citations

Wan, Guihong, Meng Jiao, Xinglong Ju, et al.. (2023). Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality. Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 12491–12499. 2 indexed citations

10.

Vasavda, Chirag, Guihong Wan, Mindy D Szeto, et al.. (2023). A Polygenic Risk Score for Predicting Racial and Genetic Susceptibility to Prurigo Nodularis. Journal of Investigative Dermatology. 143(12). 2416–2426.e1. 16 indexed citations

11.

Rajeh, Ahmad, Guihong Wan, Katie Roster, et al.. (2023). Underuse of sentinel lymph node biopsy for early-stage melanoma. Journal of the American Academy of Dermatology. 89(4). 803–806. 2 indexed citations

12.

Wan, Guihong, Bonnie W. Leung, Kimberly Tang, et al.. (2023). 1273 Effect of systemic immunosuppression timing on overall survival among immune checkpoint inhibitor recipients. SHILAP Revista de lepidopterología. A1409–A1410.

13.

Wan, Guihong, Bonnie W. Leung, Kimberly Tang, et al.. (2023). Pre-existing inflammatory disease predicts cutaneous immunotherapy toxicity development: A multi-institutional cohort study. Journal of the American Academy of Dermatology. 90(2). 418–420. 2 indexed citations

14.

Leung, Bonnie W., Guihong Wan, Wenxin Chen, et al.. (2023). Increased risk of cutaneous immune-related adverse events in patients treated with talimogene laherparepvec and immune checkpoint inhibitors: A multi-hospital cohort study. Journal of the American Academy of Dermatology. 88(6). 1265–1270. 3 indexed citations

15.

Leung, Bonnie W., Guihong Wan, Kimberly Tang, et al.. (2023). Patterns in utilization of health care services and medications among patients with cutaneous immune-related adverse events: A population-level cohort study. Journal of the American Academy of Dermatology. 88(5). 1215–1218.

16.

Jiao, Meng, Guihong Wan, Dongqing Wang, et al.. (2022). A Graph Fourier Transform Based Bidirectional Long Short-Term Memory Neural Network for Electrophysiological Source Imaging. Frontiers in Neuroscience. 16. 867466–867466. 20 indexed citations

17.

Wan, Guihong, et al.. (2022). Identification of cutaneous immune-related adverse events by International Classification of Diseases codes and medication administration. JAAD International. 9. 112–115. 2 indexed citations

18.

Wan, Guihong, Bonnie W. Leung, Meng Jiao, et al.. (2022). 649 CNN-based histopathology image analysis for early-stage melanoma recurrence. Journal of Investigative Dermatology. 142(8). S112–S112. 1 indexed citations

19.

Wan, Guihong, Bonnie W. Leung, Feng Liu, et al.. (2022). The impact of stage-related features in melanoma recurrence prediction: A machine learning approach. JAAD International. 10. 28–30.

20.

Wan, Guihong & Haim Schweitzer. (2021). Heuristic Search for Approximating One Matrix in Terms of Another Matrix. 1600–1606. 3 indexed citations

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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