May Cho
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
- Pancreatic and Hepatic Oncology Research
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Co-authors
- Jun Gong (27 shared papers)Marwan Fakih (12 shared papers)Daneng Li (6 shared papers)Andrew Hendifar (13 shared papers)Ravi Salgia (2 shared papers)Rebecca S. Allen (1 shared paper)Sunil Sharma (1 shared paper)Chongkai Wang (2 shared papers)
- Journals
- Cancers (5 papers)Journal of Clinical Oncology (4 papers)The Oncologist (2 papers)Oncotarget (2 papers)HPB (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
May Cho
55 papers receiving 869 citations
Peers
Comparison fields: 5 of 78
- Oncology 384
- Hepatology 83
- Pathology and Forensic Medicine 129
- Cancer Research 97
- Immunology 122
Countries citing papers authored by May Cho
This map shows the geographic impact of May Cho'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 May Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites May Cho more than expected).
Fields of papers citing papers by May Cho
This network shows the impact of papers produced by May Cho. 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 May Cho. The network helps show where May Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside May Cho, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 76 | |
| 2 | 2019 | 70 | |
| 3 | 2019 | 62 | |
| 4 | 2016 | 54 | |
| 5 | 2017 | 46 | |
| 6 | 2013 | 40 | |
| 7 | 2020 | 37 | |
| 8 | 2017 | 36 | |
| 9 | 2018 | 32 | |
| 10 | 2012 | 31 | |
| 11 | 2022 | 29 | |
| 12 | 2021 | 23 | |
| 13 | 2020 | 21 | |
| 14 | 2020 | 20 | |
| 15 | 2022 | 18 | |
| 16 | 2013 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2022 | 15 | |
| 20 | 2013 | 14 |
About May Cho
May Cho is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Hepatology, having authored 57 papers that have together received 876 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (12 papers), Pancreatic and Hepatic Oncology Research (9 papers), Gastric Cancer Management and Outcomes (9 papers), Genetic factors in colorectal cancer (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Cancer Genomics and Diagnostics (6 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers). The work is most often cited by research in Oncology (384 citations), Hepatology (83 citations), Pathology and Forensic Medicine (129 citations), Cancer Research (97 citations) and Immunology (122 citations). May Cho has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jun Gong, Marwan Fakih, Daneng Li, Andrew Hendifar, Ravi Salgia, Rebecca S. Allen, Sunil Sharma, Chongkai Wang, Arta M. Monjazeb and Edward Kim. Their work appears in journals such as Cancers, Journal of Clinical Oncology, The Oncologist, Oncotarget and HPB.
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.