Andrew Chi
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in ⓘ
-
- Brain Metastases and Treatment 2
- Genetics 8
- Glioma Diagnosis and Treatment 8
- Co-authors
- Diogo O. Escudero (3 shared papers)Vinata B. Lokeshwar (3 shared papers)Samir P. Shirodkar (2 shared papers)Neetika Dhir (1 shared paper)Norman H. Altman (1 shared paper)Luis E. López (1 shared paper)Soum D. Lokeshwar (1 shared paper)Tracy T. Batchelor (5 shared papers)
- Journals
- The Journal of Urology (4 papers)Neuro-Oncology (4 papers)Cancer Research (3 papers)Gynecologic Oncology (2 papers)Annals of Oncology (2 papers)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Andrew Chi
33 papers receiving 853 citations
Peers
Comparison fields: 5 of 93
- Genetics 210
- Cancer Research 160
- Cell Biology 154
- Complementary and alternative medicine 70
- Urology 51
Countries citing papers authored by Andrew Chi
This map shows the geographic impact of Andrew Chi'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 Andrew Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Chi more than expected).
Fields of papers citing papers by Andrew Chi
This network shows the impact of papers produced by Andrew Chi. 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 Andrew Chi. The network helps show where Andrew Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Chi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 169 | |
| 2 | 2013 | 120 | |
| 3 | 1997 | 77 | |
| 4 | 2018 | 53 | |
| 5 | 2021 | 52 | |
| 6 | 2011 | 47 | |
| 7 | 2007 | 44 | |
| 8 | 2008 | 43 | |
| 9 | Differential expression of estrogen receptor beta isoforms in human breast cancer tissue. | 2003 | 34 |
| 10 | 2012 | 32 | |
| 11 | 2013 | 30 | |
| 12 | 2018 | 24 | |
| 13 | 2023 | 23 | |
| 14 | 2022 | 23 | |
| 15 | 2017 | 22 | |
| 16 | 2021 | 19 | |
| 17 | 2011 | 16 | |
| 18 | 2009 | 10 | |
| 19 | 2018 | 9 | |
| 20 | 2022 | 4 |
About Andrew Chi
Andrew Chi is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 34 papers that have together received 871 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Advanced MRI Techniques and Applications (4 papers), MRI in cancer diagnosis (4 papers), Cancer Genomics and Diagnostics (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer Treatment and Pharmacology (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Genetics (210 citations), Cancer Research (160 citations), Cell Biology (154 citations), Complementary and alternative medicine (70 citations) and Urology (51 citations). Andrew Chi has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Diogo O. Escudero, Vinata B. Lokeshwar, Samir P. Shirodkar, Neetika Dhir, Norman H. Altman, Luis E. López, Soum D. Lokeshwar, Tracy T. Batchelor, Elizabeth R. Gerstner and Daniel P. Cahill. Their work appears in journals such as The Journal of Urology, Neuro-Oncology, Cancer Research, Gynecologic Oncology and Annals of Oncology.
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.