Jennifer Wu

1.2k total citations · 1 hit paper
17 papers, 639 citations indexed

About

Jennifer Wu is a scholar working on Dermatology, Oncology and Epidemiology. According to data from OpenAlex, Jennifer Wu has authored 17 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Dermatology, 6 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in Jennifer Wu's work include Colorectal Cancer Treatments and Studies (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Chemotherapy-related skin toxicity (4 papers). Jennifer Wu is often cited by papers focused on Colorectal Cancer Treatments and Studies (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Chemotherapy-related skin toxicity (4 papers). Jennifer Wu collaborates with scholars based in Taiwan, United States and Italy. Jennifer Wu's co-authors include Mario E. Lacouture, Gregory S. Phillips, Amaris Geisler, Dulce M. Barrios, Donald Y.M. Leung, Jeffrey A. Kern, Andrea P. Moy, Chau Yee Ng, Rosaline Chung‐Yee Hui and Chun‐Wei Lu and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Journal of the American Academy of Dermatology.

In The Last Decade

Jennifer Wu

17 papers receiving 633 citations

Hit Papers

Immune checkpoint inhibitor–related dermatologic adverse ... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jennifer Wu Taiwan 8 338 165 154 129 104 17 639
Émmanuelle Vigarios France 12 402 1.2× 70 0.4× 193 1.3× 112 0.9× 119 1.1× 39 729
Gregory S. Phillips United States 6 325 1.0× 66 0.4× 118 0.8× 79 0.6× 81 0.8× 7 479
Alyx Rosen United States 12 274 0.8× 54 0.3× 174 1.1× 42 0.3× 130 1.3× 19 507
Eun Bong Lee South Korea 11 64 0.2× 37 0.2× 43 0.3× 76 0.6× 70 0.7× 14 509
J. Espinós Spain 12 232 0.7× 64 0.4× 26 0.2× 26 0.2× 76 0.7× 48 718
Rajni Mandal United States 14 190 0.6× 9 0.1× 73 0.5× 72 0.6× 75 0.7× 27 532
Iris Isufi United States 12 283 0.8× 8 0.0× 62 0.4× 159 1.2× 96 0.9× 61 535
Dominique Cazals France 9 247 0.7× 12 0.1× 30 0.2× 143 1.1× 138 1.3× 11 525
Amy Musiek United States 16 141 0.4× 14 0.1× 360 2.3× 179 1.4× 99 1.0× 60 569
Antonella Teramo Italy 16 144 0.4× 29 0.2× 20 0.1× 271 2.1× 99 1.0× 38 722

Countries citing papers authored by Jennifer Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Wu

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

All Works

17 of 17 papers shown
1.
Liao, Yi‐Hua, et al.. (2023). Taiwanese Dermatological Association (TDA) consensus recommendations for the definition, classification, diagnosis, and management of hidradenitis suppurativa. Journal of the Formosan Medical Association. 123(12). 1228–1238. 1 indexed citations
2.
Wu, Jennifer, Michael Offin, Cecilia Lezcano, et al.. (2021). Characterization and management of ERK inhibitor associated dermatologic adverse events: analysis from a nonrandomized trial of ulixertinib for advanced cancers. Investigational New Drugs. 39(3). 785–795. 21 indexed citations
3.
Geisler, Amaris, Gregory S. Phillips, Dulce M. Barrios, et al.. (2020). Immune checkpoint inhibitor–related dermatologic adverse events. Journal of the American Academy of Dermatology. 83(5). 1255–1268. 298 indexed citations breakdown →
4.
Wu, Jennifer, et al.. (2020). Cutaneous toxicities of targeted therapies in the treatment of hepatocellular carcinoma. Hepatoma Research. 2020. 2 indexed citations
5.
Chen, Chun‐Bing, Chau Yee Ng, Chun‐Wei Lu, et al.. (2018). Severe cutaneous adverse reactions induced by targeted anticancer therapies and immunotherapies. Cancer Management and Research. Volume 10. 1259–1273. 109 indexed citations
6.
Ng, Chau Yee, Chun‐Bing Chen, Jennifer Wu, et al.. (2018). Anticancer Drugs Induced Severe Adverse Cutaneous Drug Reactions: An Updated Review on the Risks Associated with Anticancer Targeted Therapy or Immunotherapies. Journal of Immunology Research. 2018. 1–9. 44 indexed citations
7.
Ng, Chau Yee, et al.. (2018). Acquired perforating calcific collagenosis in a drug addict with rhabdomyolysis and transient hypercalcemia. Journal of Cutaneous Pathology. 46(1). 84–87. 2 indexed citations
8.
Wu, Jennifer & Mario E. Lacouture. (2018). Pruritus Associated with Targeted Anticancer Therapies and Their Management. Dermatologic Clinics. 36(3). 315–324. 29 indexed citations
9.
Phillips, Gregory S., Azael Freites‐Martínez, Jennifer Wu, et al.. (2018). Clinical Characterization of Immunotherapy-Related Pruritus Among Patients Seen in 2 Oncodermatology Clinics. JAMA Dermatology. 155(2). 249–249. 38 indexed citations
10.
Wu, Jennifer, Azael Freites‐Martínez, Matthew D. Hellmann, et al.. (2018). Treatment outcomes of cutaneous adverse events to immune checkpoint inhibitors.. Journal of Clinical Oncology. 36(15_suppl). e22093–e22093. 1 indexed citations
11.
McKay, Tina B., Jesper Hjortdal, Henrik Sejersen, et al.. (2016). Endocrine and Metabolic Pathways Linked to Keratoconus: Implications for the Role of Hormones in the Stromal Microenvironment. Scientific Reports. 6(1). 25534–25534. 60 indexed citations
12.
Wu, Jennifer, et al.. (2015). Multiple eruptive myxoid dermatofibromas. Dermatologica Sinica. 34(1). 46–48. 2 indexed citations
13.
Wu, Jennifer, et al.. (2015). Stevens-Johnson syndrome and toxic epidermal necrolysis in patients with malignancies. British Journal of Dermatology. 173(5). 1224–1231. 27 indexed citations
14.
Kinlaw, Alan C., Michele Jönsson Funk, Mitchell M. Conover, Elizabeth J. Geller, & Jennifer Wu. (2014). Comparative Safety of Antimuscarinics among Adults in the United States, 2000–2011. Neurourology and Urodynamics. 1 indexed citations
15.
Shah, Ami A. & Jennifer Wu. (2014). Management of incidental esophageal uptake on FDG PET/CT. BMJ Case Reports. 2014. bcr2014203845–bcr2014203845. 2 indexed citations
16.
Wu, Jennifer, et al.. (2012). Targeted Therapy: Its Status and Promise in Selected Solid Tumors Part I. 1 indexed citations
17.
Yan, Y., Jill M. Spoerke, Jennifer Wu, et al.. (2012). 495 The PI3K/mTOR Inhibitor GDC-0980 Demonstrates Target Engagement and Pathway Modulation in Tumor Tissue at Tolerated Doses. European Journal of Cancer. 48. 153–153. 1 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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