Jonhan Ho
- Biophysics top 1%
- Dermatology top 2%
- Cutaneous lymphoproliferative disorders research 9
- Cancer and Skin Lesions 8
- Health Informatics top 5%
- Oncology top 5%
- Cutaneous Melanoma Detection and Management 15
- Artificial Intelligence top 2%
- AI in cancer detection 10
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- Genetic and rare skin diseases. 7
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- Lymphoma Diagnosis and Treatment 6
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- Nonmelanoma Skin Cancer Studies 6
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- Digital Imaging in Medicine 5
- Co-authors
- D.M. JukicAnil V. ParwaniLaura K. FerrisLeslie AnthonyJohn R. GilbertsonYukako YagiOleg E. AkilovTimothy Patton
- Journals
- American Journal of Dermatopathology (8 papers)Journal of Cutaneous Pathology (4 papers)Human Pathology (4 papers)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Jonhan Ho
65 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Biophysics 248
- Dermatology 288
- Health Informatics 36
- Oncology 675
- Artificial Intelligence 522
Countries citing papers authored by Jonhan Ho
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
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
The 25 scholars most cited alongside Jonhan Ho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 67 | |
| 6 | 2021 | 2 | |
| 7 | 2020 | 30 | |
| 8 | 2019 | 0 | |
| 9 | Cutaneous TRPV1+ Neurons Trigger Protective Innate Type 17 Anticipatory Immunitybreakdown → | 2019 | 240 |
| 10 | 2017 | 28 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 90 | |
| 13 | 2014 | 1 | |
| 14 | 2014 | 120 | |
| 15 | 2014 | 12 | |
| 16 | 2014 | 7 | |
| 17 | 2013 | 5 | |
| 18 | 2008 | 61 | |
| 19 | 2008 | 67 | |
| 20 | 2005 | 5 |
About Jonhan Ho
Jonhan Ho is a scholar working on Dermatology, Oncology and Pathology and Forensic Medicine, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (15 papers), AI in cancer detection (10 papers), Cutaneous lymphoproliferative disorders research (9 papers), Cancer and Skin Lesions (8 papers), Genetic and rare skin diseases. (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Nonmelanoma Skin Cancer Studies (6 papers) and Digital Imaging in Medicine (5 papers). The work is most often cited by research in Biophysics (248 citations), Dermatology (288 citations) and Health Informatics (36 citations). Jonhan Ho has collaborated with scholars based in United States, Japan and Netherlands. Frequent 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 Joel Wolf. Their work appears in journals such as American Journal of Dermatopathology, Journal of Cutaneous Pathology, Human Pathology, Journal of the American Academy of Dermatology and Journal of Pathology Informatics.
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.