Midan Ai
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 8
- Cancer Immunotherapy and Biomarkers 6
- CAR-T cell therapy research 1
-
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 3
- Immune cells in cancer 2
- Co-authors
- Michael A. Curran (7 shared papers)Todd Bartkowiak (5 shared papers)Pratha Budhani (4 shared papers)Ashvin R. Jaiswal (4 shared papers)Casey R. Ager (4 shared papers)Sadhana Balasubramanyam (2 shared papers)Jie Sheng (2 shared papers)Priyamvada Jayaprakash (2 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Journal for ImmunoTherapy of Cancer (1 paper)Journal of Biological Chemistry (1 paper)Spine (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Midan Ai
13 papers receiving 626 citations
Peers
Comparison fields: 5 of 61
- Immunology 301
- Cancer Research 167
- Oncology 295
- Biotechnology 28
- Molecular Biology 166
Countries citing papers authored by Midan Ai
This map shows the geographic impact of Midan Ai'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 Midan Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Midan Ai more than expected).
Fields of papers citing papers by Midan Ai
This network shows the impact of papers produced by Midan Ai. 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 Midan Ai. The network helps show where Midan Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Midan Ai, 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 | 2018 | 312 | |
| 2 | 2015 | 79 | |
| 3 | 2018 | 73 | |
| 4 | 2013 | 52 | |
| 5 | 2015 | 36 | |
| 6 | 2013 | 29 | |
| 7 | 2015 | 22 | |
| 8 | 2013 | 13 | |
| 9 | 2014 | 10 | |
| 10 | 2010 | 8 | |
| 11 | 2016 | 2 | |
| 12 | 2004 | 2 | |
| 13 | 2020 | 1 |
About Midan Ai
Midan Ai is a scholar working on Oncology, Immunology, Molecular Biology, Organic Chemistry and Cell Biology, having authored 13 papers that have together received 639 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers), Immune cells in cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), CAR-T cell therapy research (1 paper), DNA Repair Mechanisms (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Immunology (301 citations), Cancer Research (167 citations), Oncology (295 citations), Biotechnology (28 citations) and Molecular Biology (166 citations). Midan Ai has collaborated with scholars based in United States and China. Frequent co-authors include Michael A. Curran, Todd Bartkowiak, Pratha Budhani, Ashvin R. Jaiswal, Casey R. Ager, Sadhana Balasubramanyam, Jie Sheng, Priyamvada Jayaprakash, Krishna Shah and Malgorzata Anna Zal. Their work appears in journals such as Clinical Cancer Research, Journal for ImmunoTherapy of Cancer, Journal of Biological Chemistry, Spine and Journal of Clinical Investigation.
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.