Michelle Guan
Impact in
-
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 10
- Pancreatic and Hepatic Oncology Research 7
- Lung Cancer Research Studies 2
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- Fibroblast Growth Factor Research 4
- Gut microbiota and health 2
- Co-authors
- Andrew Hendifar (17 shared papers)Jun Gong (14 shared papers)Veronica Placencio-Hickok (13 shared papers)Alex Chehrazi‐Raffle (1 shared paper)Ravi Salgia (1 shared paper)Richard Tuli (9 shared papers)Arpana Gupta (2 shared papers)Young‐Min Chung (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)Scientific Reports (2 papers)Oncotarget (2 papers)Molecular Microbiology (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United StatesPortugal
In The Last Decade
Michelle Guan
21 papers receiving 345 citations
Peers
Comparison fields: 5 of 71
- Oncology 153
- Biological Psychiatry 14
- Cancer Research 54
- Gastroenterology 15
- Molecular Biology 159
Countries citing papers authored by Michelle Guan
This map shows the geographic impact of Michelle Guan'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 Michelle Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Guan more than expected).
Fields of papers citing papers by Michelle Guan
This network shows the impact of papers produced by Michelle Guan. 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 Michelle Guan. The network helps show where Michelle Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle Guan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 76 | |
| 2 | 2022 | 58 | |
| 3 | 2009 | 57 | |
| 4 | 2014 | 41 | |
| 5 | 2018 | 29 | |
| 6 | 2019 | 14 | |
| 7 | 2021 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2019 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2020 | 1 |
About Michelle Guan
Michelle Guan is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Cell Biology, having authored 22 papers that have together received 349 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (7 papers), Proteoglycans and glycosaminoglycans research (5 papers), Fibroblast Growth Factor Research (4 papers), Neuroendocrine Tumor Research Advances (3 papers), Tryptophan and brain disorders (2 papers), Lung Cancer Research Studies (2 papers), Gut microbiota and health (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Oncology (153 citations), Biological Psychiatry (14 citations), Cancer Research (54 citations), Gastroenterology (15 citations) and Molecular Biology (159 citations). Michelle Guan has collaborated with scholars based in United States and Portugal. Frequent co-authors include Andrew Hendifar, Jun Gong, Veronica Placencio-Hickok, Alex Chehrazi‐Raffle, Ravi Salgia, Richard Tuli, Arpana Gupta, Young‐Min Chung, Tien S. Dong and Mickey C.‐T. Hu. Their work appears in journals such as Journal of Clinical Oncology, Scientific Reports, Oncotarget, Molecular Microbiology and JAMA Network Open.
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.