Christine J. Ko

4.1k total citations
148 papers, 2.7k citations indexed

About

Christine J. Ko is a scholar working on Dermatology, Epidemiology and Oncology. According to data from OpenAlex, Christine J. Ko has authored 148 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Dermatology, 39 papers in Epidemiology and 36 papers in Oncology. Recurrent topics in Christine J. Ko's work include Cancer and Skin Lesions (31 papers), Nonmelanoma Skin Cancer Studies (22 papers) and Genetic and rare skin diseases. (20 papers). Christine J. Ko is often cited by papers focused on Cancer and Skin Lesions (31 papers), Nonmelanoma Skin Cancer Studies (22 papers) and Genetic and rare skin diseases. (20 papers). Christine J. Ko collaborates with scholars based in United States, Germany and Canada. Christine J. Ko's co-authors include Robert Ο. Poyton, Lester Goldstein, Jennifer M. McNiff, M G Cumsky, Joan E. McEwen, Cynthia E. Trueblood, Dirk M. Elston, Richard J. Antaya, Earl J. Glusac and Scott W. Binder and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Christine J. Ko

140 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine J. Ko United States 29 948 659 633 524 301 148 2.7k
Ossama Abbas Lebanon 29 636 0.7× 427 0.6× 974 1.5× 625 1.2× 254 0.8× 165 2.9k
David N. Silvers United States 33 514 0.5× 737 1.1× 624 1.0× 937 1.8× 277 0.9× 102 2.5k
Kathleen J. Smith United States 30 542 0.6× 928 1.4× 1.0k 1.7× 1.1k 2.0× 293 1.0× 142 3.0k
Jean‐Pierre Molès France 27 902 1.0× 765 1.2× 416 0.7× 722 1.4× 155 0.5× 120 3.1k
Thomas Meyer Germany 31 603 0.6× 668 1.0× 640 1.0× 1.5k 2.8× 439 1.5× 127 3.0k
Mauro Alaibac Italy 24 580 0.6× 994 1.5× 1.1k 1.7× 872 1.7× 182 0.6× 191 3.0k
Henry G. Skelton United States 35 692 0.7× 1.1k 1.7× 1.4k 2.1× 1.3k 2.5× 324 1.1× 163 3.8k
Dirk M. Elston United States 28 685 0.7× 747 1.1× 1.3k 2.0× 1.1k 2.1× 320 1.1× 312 4.2k
Gerd Gross Germany 33 858 0.9× 576 0.9× 591 0.9× 2.0k 3.9× 928 3.1× 131 3.7k
Dan Lipsker France 35 1.3k 1.4× 819 1.2× 1.1k 1.7× 894 1.7× 650 2.2× 246 4.6k

Countries citing papers authored by Christine J. Ko

Since Specialization
Citations

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

Fields of papers citing papers by Christine J. Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christine J. Ko. 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 Christine J. Ko. The network helps show where Christine J. Ko may publish in the future.

Co-authorship network of co-authors of Christine J. Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Christine J. Ko. A scholar is included among the top collaborators of Christine J. Ko 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 Christine J. Ko. Christine J. Ko 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
1.
Kauke‐Navarro, Martin, Nour K. Younis, Radhika S. Khetani, et al.. (2025). B-cell infiltration distinguishes mucosal from skin patterns of rejection in facial vascularized composite allografts. American Journal of Transplantation. 25(6). 1193–1207. 5 indexed citations
2.
Ko, Christine J., et al.. (2024). Cognitive bias in the patient encounter: Part I. Background and significance. Journal of the American Academy of Dermatology. 92(2). 213–220.
3.
Parikh, Neil, Christine J. Ko, Bridget J. Perry, et al.. (2024). Ten-year follow-up after face transplantation—A single-center retrospective cohort study. American Journal of Transplantation. 25(3). 611–622. 5 indexed citations
4.
Roy, Simon F., et al.. (2024). A pilot study of p53 immunohistochemistry in atypical squamous lesions, using a vulvar scoring system. Journal of Cutaneous Pathology. 51(5). 379–386. 1 indexed citations
5.
Ko, Christine J., et al.. (2024). Cognitive bias in the patient encounter: Part II. Debiasing using an adaptive toolbox. Journal of the American Academy of Dermatology. 92(2). 223–230. 1 indexed citations
6.
Tang, Haiming, John T. Seykora, & Christine J. Ko. (2023). Squamous carcinogenesis: potential truncal mutations. Human Pathology. 140. 32–38. 1 indexed citations
7.
Ko, Christine J. & Earl J. Glusac. (2023). Cognitive bias in pathology, as exemplified in dermatopathology. Human Pathology. 140. 267–275. 3 indexed citations
8.
Atzmony, Lihi, Lionel Bercovitch, Leslie Robinson‐Bostom, et al.. (2022). Segmental basaloid follicular hamartomas derive from a post‐zygotic SMO p.L412F pathogenic variant and express hair follicle development‐related proteins in a pattern that distinguish them from basal cell carcinomas. American Journal of Medical Genetics Part A. 188(12). 3525–3530. 3 indexed citations
9.
Wang, Alice, Alexander L. Fogel, Michael J. Murphy, et al.. (2021). Cytokine RNA In Situ Hybridization Permits Individualized Molecular Phenotyping in Biopsies of Psoriasis and Atopic Dermatitis. SHILAP Revista de lepidopterología. 1(2). 100021–100021. 26 indexed citations
10.
Hart, Gregory R., et al.. (2018). Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network. Scientific Reports. 8(1). 1701–1701. 70 indexed citations
11.
Panse, Gauri, Jennifer M. McNiff, & Christine J. Ko. (2017). Basal cell carcinoma: CD56 and cytokeratin 5/6 staining patterns in the differential diagnosis with Merkel cell carcinoma. Journal of Cutaneous Pathology. 44(6). 553–556. 13 indexed citations
12.
Rosenstein, Rachel K., Christine J. Ko, & Oscar R. Colegio. (2017). Trichodysplasia Spinulosa. Transplantation. 101(10). e314–e314. 3 indexed citations
13.
Kim, Chang-Hyun, Christine J. Ko, & David J. Leffell. (2013). Cutaneous squamous cell carcinomas of the lower extremity: A distinct subset of squamous cell carcinomas. Journal of the American Academy of Dermatology. 70(1). 70–74. 19 indexed citations
14.
Knopp, Eleanor, et al.. (2009). Multiple Blue Macules and Papules on the Scalp—Quiz Case. Archives of Dermatology. 145(10). 1183–8. 3 indexed citations
15.
Welsh, John P., et al.. (2007). Mystery of the Silk Road. The American Journal of Medicine. 120(4). 322–324. 1 indexed citations
16.
Ko, Christine J., Jenny Kim, Jenny Phan, & Scott W. Binder. (2006). Bcl‐2‐positive epidermal dendritic cells in inverted follicular keratoses but not squamous cell carcinomas or seborrheic keratoses. Journal of Cutaneous Pathology. 33(7). 498–501. 9 indexed citations
19.
Ernst, William, Sybille Thoma-Uszynski, Rachel Teitelbaum, et al.. (2000). Granulysin, a T Cell Product, Kills Bacteria by Altering Membrane Permeability. The Journal of Immunology. 165(12). 7102–7108. 176 indexed citations
20.
Goldstein, Lester & Christine J. Ko. (1976). Chapter 12 A Method for the Mass Culturing of Large Free-Living Amebas. Methods in cell biology. 13. 239–246. 31 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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