Guanglan Mo
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- CAR-T cell therapy research
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- Single-cell and spatial transcriptomics 3
- S100 Proteins and Annexins 2
- Oncology 6
- Pancreatic and Hepatic Oncology Research 3
- Cancer Immunotherapy and Biomarkers 3
- Cancer Cells and Metastasis 2
- Co-authors
- Elizabeth M. Jaffee (9 shared papers)Lei Zheng (6 shared papers)Robert A. Anders (7 shared papers)Rajni Sharma (4 shared papers)Annie A. Wu (3 shared papers)Daniel A. Laheru (2 shared papers)Christopher L. Wolfgang (2 shared papers)Sara Solt (1 shared paper)
- Journals
- Cancer Research (3 papers)The Journal of Immunology (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)Science Signaling (1 paper)Cancer Immunology Research (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Guanglan Mo
9 papers receiving 864 citations
Peers
Comparison fields: 5 of 65
- Oncology 579
- Immunology 404
- Cancer Research 152
- Molecular Biology 333
- Biotechnology 41
Countries citing papers authored by Guanglan Mo
This map shows the geographic impact of Guanglan Mo'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 Guanglan Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanglan Mo more than expected).
Fields of papers citing papers by Guanglan Mo
This network shows the impact of papers produced by Guanglan Mo. 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 Guanglan Mo. The network helps show where Guanglan Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Guanglan Mo, 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 | 2014 | 399 | |
| 2 | 2011 | 156 | |
| 3 | 2016 | 92 | |
| 4 | 2015 | 81 | |
| 5 | 2016 | 68 | |
| 6 | 2023 | 56 | |
| 7 | 2020 | 17 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 1 |
About Guanglan Mo
Guanglan Mo is a scholar working on Molecular Biology, Oncology, Immunology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 871 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (2 papers), Cancer Cells and Metastasis (2 papers), S100 Proteins and Annexins (2 papers), Cancer Genomics and Diagnostics (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Oncology (579 citations), Immunology (404 citations), Cancer Research (152 citations), Molecular Biology (333 citations) and Biotechnology (41 citations). Guanglan Mo has collaborated with scholars based in United States and China. Frequent co-authors include Elizabeth M. Jaffee, Lei Zheng, Robert A. Anders, Rajni Sharma, Annie A. Wu, Daniel A. Laheru, Christopher L. Wolfgang, Sara Solt, Kevin C. Soares and Allison Yager. Their work appears in journals such as Cancer Research, The Journal of Immunology, Journal for ImmunoTherapy of Cancer, Science Signaling and Cancer Immunology Research.
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.