Diana Miao
- Oncology top 5%
- Molecular Biology top 10%
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Cancer Research top 10%
- Co-authors
- Eliezer M. Van AllenKwok‐Kin WongDennis O. AdeegbeKevin BiFlavian D. BrownW. Nicholas HainingMargaret D. ZimmerVikram R. Juneja
- Topics
- Cancer Immunotherapy and Biomarkers (9 papers)Cancer Genomics and Diagnostics (6 papers)Renal cell carcinoma treatment (5 papers)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Diana Miao
21 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Oncology 952
- Molecular Biology 769
- Immunology 715
- Pulmonary and Respiratory Medicine 328
- Cancer Research 254
Countries citing papers authored by Diana Miao
This map shows the geographic impact of Diana Miao'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 Diana Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Miao more than expected).
Fields of papers citing papers by Diana Miao
This network shows the impact of papers produced by Diana Miao. 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 Diana Miao. The network helps show where Diana Miao may publish in the future.
Co-authorship network of co-authors of Diana Miao
This figure shows the co-authorship network connecting the top 25 collaborators of Diana Miao. A scholar is included among the top collaborators of Diana Miao 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 Diana Miao. Diana Miao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | 194 | |
| 7 | 6 | |
| 8 | 19 | |
| 9 | Loss of PTEN Is Associated with Resistance to Anti-PD-1 Checkpoint Blockade Therapy in Metastatic Uterine Leiomyosarcomabreakdown → | 361 |
| 10 | In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy targetbreakdown → | 774 |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 36 | |
| 14 | 122 | |
| 15 | 23 | |
| 16 | 51 | |
| 17 | 8 | |
| 18 | Are academic orthopedic surgeons interested in global health? | 3 |
| 19 | 15 | |
| 20 | 80 |
About Diana Miao
Diana Miao is a scholar working on Reproductive Medicine, Cancer Research and Complementary and Manual Therapy, having authored 23 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Cancer Genomics and Diagnostics (6 papers) and Renal cell carcinoma treatment (5 papers). The work is most often cited by research in Oncology (952 citations), Immunology (715 citations) and Complementary and Manual Therapy (47 citations). Diana Miao has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Eliezer M. Van Allen, Kwok‐Kin Wong, Dennis O. Adeegbe, Kevin Bi, Flavian D. Brown, W. Nicholas Haining, Margaret D. Zimmer, Vikram R. Juneja, David E. Root and David E. Fisher. Their work appears in journals such as Nature, Journal of Clinical Oncology and Immunity.
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.