Gu Mi
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- Gastroenterology top 10%
- Gastrointestinal Tumor Research and Treatment
Papers in
- Oncology 28
- Cancer Immunotherapy and Biomarkers 13
- Colorectal Cancer Treatments and Studies 11
- CAR-T cell therapy research 5
- Pancreatic and Hepatic Oncology Research 5
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- Gastric Cancer Management and Outcomes 10
- Co-authors
- Roy S. Herbst (14 shared papers)David Ferry (10 shared papers)Ian Chau (11 shared papers)Emiliano Calvo (11 shared papers)Hendrik‐Tobias Arkenau (10 shared papers)Nicolas Penel (7 shared papers)Jin Jin (5 shared papers)Rafael Santana-Dávila (10 shared papers)
- Journals
- Journal of Clinical Oncology (10 papers)Annals of Oncology (8 papers)Journal of Thoracic Oncology (3 papers)PLoS ONE (3 papers)Blood (2 papers)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Gu Mi
42 papers receiving 642 citations
Peers
Comparison fields: 5 of 63
- Oncology 359
- Gastroenterology 52
- Hepatology 62
- Pulmonary and Respiratory Medicine 174
- Immunology 99
Countries citing papers authored by Gu Mi
This map shows the geographic impact of Gu Mi'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 Gu Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gu Mi more than expected).
Fields of papers citing papers by Gu Mi
This network shows the impact of papers produced by Gu Mi. 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 Gu Mi. The network helps show where Gu Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Gu Mi, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 124 | |
| 2 | 2020 | 107 | |
| 3 | 2020 | 44 | |
| 4 | 2016 | 27 | |
| 5 | 2019 | 26 | |
| 6 | 2020 | 25 | |
| 7 | 2017 | 25 | |
| 8 | 2012 | 24 | |
| 9 | 2017 | 22 | |
| 10 | 2018 | 20 | |
| 11 | 2019 | 19 | |
| 12 | 2018 | 19 | |
| 13 | 2015 | 16 | |
| 14 | 2017 | 15 | |
| 15 | Extreme short-term prediction of ship motion based on chaotic theory and RBF neural network | 2013 | 12 |
| 16 | 2017 | 12 | |
| 17 | 2016 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2017 | 10 | |
| 20 | 2022 | 9 |
About Gu Mi
Gu Mi is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Statistics and Probability and Surgery, having authored 47 papers that have together received 647 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (13 papers), Colorectal Cancer Treatments and Studies (11 papers), Gastric Cancer Management and Outcomes (10 papers), Statistical Methods in Clinical Trials (8 papers), CAR-T cell therapy research (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Gene expression and cancer classification (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Oncology (359 citations), Gastroenterology (52 citations), Hepatology (62 citations), Pulmonary and Respiratory Medicine (174 citations) and Immunology (99 citations). Gu Mi has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Roy S. Herbst, David Ferry, Ian Chau, Emiliano Calvo, Hendrik‐Tobias Arkenau, Nicolas Penel, Jin Jin, Rafael Santana-Dávila, Johanna C. Bendell and Matthew Krebs. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Journal of Thoracic Oncology, PLoS ONE and Blood.
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.