Jonhan Ho

3.5k total citations · 1 hit paper
72 papers, 2.0k citations indexed

About

Jonhan Ho is a scholar working on Dermatology, Oncology and Epidemiology. According to data from OpenAlex, Jonhan Ho has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Dermatology, 26 papers in Oncology and 16 papers in Epidemiology. Recurrent topics in Jonhan Ho's work include Cutaneous Melanoma Detection and Management (15 papers), AI in cancer detection (10 papers) and Cutaneous lymphoproliferative disorders research (9 papers). Jonhan Ho is often cited by papers focused on Cutaneous Melanoma Detection and Management (15 papers), AI in cancer detection (10 papers) and Cutaneous lymphoproliferative disorders research (9 papers). Jonhan Ho collaborates with scholars based in United States, Japan and Netherlands. Jonhan Ho's co-authors include D.M. Jukic, Anil V. Parwani, Laura K. Ferris, Leslie Anthony, John R. Gilbertson, Yukako Yagi, Oleg E. Akilov, Timothy Patton, Jacqueline F. Moreau and Joseph C. English and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Jonhan Ho

65 papers receiving 2.0k citations

Hit Papers

Cutaneous TRPV1+ Neurons Trigger Protective Innate Type 1... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonhan Ho United States 20 675 522 380 288 252 72 2.0k
D.M. Jukic United States 26 967 1.4× 784 1.5× 694 1.8× 262 0.9× 324 1.3× 107 2.7k
Rubeta Matin United Kingdom 24 1.3k 1.9× 313 0.6× 309 0.8× 550 1.9× 723 2.9× 94 2.3k
John R. Davis United States 31 478 0.7× 471 0.9× 700 1.8× 121 0.4× 528 2.1× 93 2.9k
Holger A. Haenssle Germany 24 1.3k 1.9× 400 0.8× 348 0.9× 604 2.1× 628 2.5× 134 2.3k
Alexander Enk Germany 22 1.1k 1.6× 799 1.5× 162 0.4× 334 1.2× 514 2.0× 77 2.0k
Titus J. Brinker Germany 28 1.4k 2.0× 1.4k 2.7× 268 0.7× 318 1.1× 420 1.7× 105 3.0k
Clara Curiel‐Lewandrowski United States 26 1.3k 2.0× 180 0.3× 558 1.5× 709 2.5× 602 2.4× 103 2.4k
R. J. Friedman United States 12 887 1.3× 210 0.4× 264 0.7× 300 1.0× 298 1.2× 22 1.8k
Michael A. Marchetti United States 23 1.4k 2.1× 464 0.9× 429 1.1× 635 2.2× 676 2.7× 104 2.2k
Fernando U. Garcia United States 23 467 0.7× 219 0.4× 615 1.6× 62 0.2× 125 0.5× 70 2.1k

Countries citing papers authored by Jonhan Ho

Since Specialization
Citations

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

Fields of papers citing papers by Jonhan Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonhan Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Jonhan Ho. A scholar is included among the top collaborators of Jonhan Ho 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 Jonhan Ho. Jonhan Ho 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.
Ghose, Soumya, Elizabeth McDonough, Jonhan Ho, et al.. (2023). 3D reconstruction of skin and spatial mapping of immune cell density, vascular distance and effects of sun exposure and aging. Communications Biology. 6(1). 718–718. 9 indexed citations
2.
Ho, Jonhan & Jan de Lange. (2023). INFLUENCE OF SURGEON EXPERIENCE ON SURGICAL OUTCOME OF MAXILLOMANDIBULAR ADVANCEMENT FOR OBSTRUCTIVE SLEEP APNEA. International Journal of Oral and Maxillofacial Surgery. 52. 39–39.
3.
Elston, Dirk M., Rajendra Singh, Jonhan Ho, et al.. (2023). From scope to screen: A collection of online dermatopathology resources for residents and fellows. JAAD International. 12. 12–14. 1 indexed citations
4.
Whitley, Sarah K., Sakeen W. Kashem, Toshiro Hirai, et al.. (2022). Local IL-23 is required for proliferation and retention of skin-resident memory T H 17 cells. Science Immunology. 7(77). eabq3254–eabq3254. 67 indexed citations
6.
Barasch, Nicholas, Yen‐Chun Liu, Jonhan Ho, et al.. (2020). The molecular landscape and other distinctive features of primary cutaneous follicle center lymphoma. Human Pathology. 106. 93–105. 30 indexed citations
7.
Zhang, Sophia, et al.. (2019). A challenging diagnosis of penile sarcomatoid squamous cell carcinoma. Dermatology Online Journal. 25(10).
8.
Cohen, Jonathan, Tara N. Edwards, Andrew W. Liu, et al.. (2019). Cutaneous TRPV1+ Neurons Trigger Protective Innate Type 17 Anticipatory Immunity. Cell. 178(4). 919–932.e14. 240 indexed citations breakdown →
9.
Yamaoka, Yutaro, Yuki Matsushima, Satoko Matsunaga, et al.. (2018). Production and characterization of monoclonal antibodies specific for major capsid VP1 protein of trichodysplasia spinulosa‐associated polyomavirus. Microbiology and Immunology. 62(12). 763–773. 2 indexed citations
10.
Matsumoto, Martha, Aaron M. Secrest, Alyce Anderson, et al.. (2017). Estimating the cost of skin cancer detection by dermatology providers in a large health care system. Journal of the American Academy of Dermatology. 78(4). 701–709.e1. 28 indexed citations
11.
Roth, Christine G., et al.. (2016). Cutaneous Small/Medium CD4+ Pleomorphic T-Cell Lymphoma–Like Nodule in a Patient With Erythema Chronicum Migrans. American Journal of Dermatopathology. 38(6). 448–452. 4 indexed citations
12.
Ho, Jonhan, et al.. (2016). Patient Positioning and Skin Sequelae. A & A Case Reports. 6(10). 293–295. 1 indexed citations
13.
Gerami, Pedram, Zuxu Yao, David Polsky, et al.. (2016). Development and validation of a noninvasive 2-gene molecular assay for cutaneous melanoma. Journal of the American Academy of Dermatology. 76(1). 114–120.e2. 90 indexed citations
14.
Drogowski, Laura M, et al.. (2016). A multisite validation of whole slide imaging for primary diagnosis using standardized data collection and analysis. Journal of Pathology Informatics. 7(1). 49–49. 10 indexed citations
15.
Dulmage, Brittany, et al.. (2015). Tumor Stage Mycosis Fungoides in a Child. Pediatric Dermatology. 32(4). e156–8. 2 indexed citations
16.
Ho, Jonhan, et al.. (2014). Legionella Pneumonia With Diffuse Macular Purpuric Rash and Negative Urine Test: A Diagnostic Dilemma. CHEST Journal. 145(3). 119A–119A. 1 indexed citations
17.
18.
Ng, Yuen‐Keng, Salina Torres, Marianne Berwick, et al.. (2014). Pan-erbB inhibition potentiates BRAF inhibitors for melanoma treatment. Melanoma Research. 24(3). 207–218. 16 indexed citations
19.
Ho, Jonhan, et al.. (2012). Use of contextual inquiry to understand anatomic pathology workflow: Implications for digital pathology adoption. Journal of Pathology Informatics. 3(1). 35–35. 19 indexed citations
20.
Gilbertson, John R., Jonhan Ho, Leslie Anthony, et al.. (2006). Primary histologic diagnosis using automated whole slide imaging: a validation study. BMC Clinical Pathology. 6(1). 4–4. 161 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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