Xiao Ni
Impact in
- Dermatology top 0.5%
- Cutaneous lymphoproliferative disorders research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Dermatology 29
- Cutaneous lymphoproliferative disorders research 29
- Immunology 23
- T-cell and Retrovirus Studies 18
- Immunotherapy and Immune Responses 4
- Co-authors
- Madeleine DuvicChunlei ZhangParul HazarikaVictoria M. RichonCecilia KellyJudy H. ChiaoJustin L. RickerJohn F. Reilly
- Journals
- Journal of Investigative Dermatology (5 papers)Blood (5 papers)Photodermatology Photoimmunology & Photomedicine (3 papers)Clinical Cancer Research (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xiao Ni
37 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Dermatology 890
- Pathology and Forensic Medicine 709
- Immunology 711
- Oncology 580
- Molecular Biology 1.1k
Countries citing papers authored by Xiao Ni
This map shows the geographic impact of Xiao Ni'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 Xiao Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Ni more than expected).
Fields of papers citing papers by Xiao Ni
This network shows the impact of papers produced by Xiao Ni. 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 Xiao Ni. The network helps show where Xiao Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao Ni, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 5 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 0 | |
| 9 | 2021 | 16 | |
| 10 | 2020 | 4 | |
| 11 | 2018 | 23 | |
| 12 | 2016 | 21 | |
| 13 | 2015 | 30 | |
| 14 | 2012 | 11 | |
| 15 | 2012 | 24 | |
| 16 | 2009 | 17 | |
| 17 | 2006 | 15 | |
| 18 | 2005 | 43 | |
| 19 | 2004 | 42 | |
| 20 | 2003 | 32 |
About Xiao Ni
Xiao Ni is a scholar working on Dermatology, Immunology, Pathology and Forensic Medicine, Oncology and Cancer Research, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (29 papers), T-cell and Retrovirus Studies (18 papers), CAR-T cell therapy research (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Immunotherapy and Immune Responses (4 papers), Retinoids in leukemia and cellular processes (3 papers), Fungal Infections and Studies (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Dermatology (890 citations), Pathology and Forensic Medicine (709 citations), Immunology (711 citations), Oncology (580 citations) and Molecular Biology (1.1k citations). Xiao Ni has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Madeleine Duvic, Chunlei Zhang, Parul Hazarika, Victoria M. Richon, Cecilia Kelly, Judy H. Chiao, Justin L. Ricker, John F. Reilly, Stanley R. Frankel and Rakhshandra Talpur. Their work appears in journals such as Journal of Investigative Dermatology, Blood, Photodermatology Photoimmunology & Photomedicine, Clinical Cancer Research and Cancer Research.
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.