Ming-Hong Xie
- Immunology top 1%
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
- Dermatology top 1%
- Oncology top 5%
- CAR-T cell therapy research 5
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- Cancer Mechanisms and Therapy 2
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 4
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- Monoclonal and Polyclonal Antibodies Research 3
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- Liver physiology and pathology 2
- Co-authors
- Austin GurneySudeepta AggarwalNico GhilardiFrédéric J. de SauvageJessica FosterAudrey D. GoddardWilliam I. WoodWei-Hsien Ho
- Cited by
- ImmunologyDermatologyOncology
- Journals
- Nature (1 paper)Journal of Biological Chemistry (4 papers)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Ming-Hong Xie
29 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 2.1k
- Dermatology 338
- Oncology 657
- Pathology and Forensic Medicine 401
- Cancer Research 272
Countries citing papers authored by Ming-Hong Xie
This map shows the geographic impact of Ming-Hong Xie'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 Ming-Hong Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Hong Xie more than expected).
Fields of papers citing papers by Ming-Hong Xie
This network shows the impact of papers produced by Ming-Hong Xie. 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 Ming-Hong Xie. The network helps show where Ming-Hong Xie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming-Hong Xie, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 14 | |
| 7 | 2018 | 2 | |
| 8 | 2017 | 8 | |
| 9 | 2015 | 1 | |
| 10 | 2011 | 55 | |
| 11 | 2011 | 20 | |
| 12 | Interleukin-23 Promotes a Distinct CD4 T Cell Activation State Characterized by the Production of Interleukin-17breakdown → | 2003 | 1470 |
| 13 | 2002 | 205 | |
| 14 | 2001 | 145 | |
| 15 | 2000 | 436 | |
| 16 | 2000 | 344 | |
| 17 | 1999 | 243 | |
| 18 | 1997 | 55 | |
| 19 | 1991 | 20 | |
| 20 | 1990 | 100 |
About Ming-Hong Xie
Ming-Hong Xie is a scholar working on Immunology, Oncology and Biochemistry, having authored 31 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), CAR-T cell therapy research (5 papers), Cancer-related molecular mechanisms research (4 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Mechanisms and Therapy (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Immunology (2.1k citations), Dermatology (338 citations) and Oncology (657 citations). Ming-Hong Xie has collaborated with scholars based in United States and China. Frequent co-authors include Austin Gurney, Sudeepta Aggarwal, Nico Ghilardi, Frédéric J. de Sauvage, Jessica Foster, Audrey D. Goddard, William I. Wood, Wei-Hsien Ho, Jeremy Stinson and Zemin Zhang. Their work appears in journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.