Suhu Liu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions
Papers in
-
- Protein Degradation and Inhibitors 4
- Oncology 9
- Cytokine Signaling Pathways and Interactions 5
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Adam I. Riker (13 shared papers)Paul Howell (8 shared papers)Øystein Fodstad (7 shared papers)Suping Ren (7 shared papers)David A. Frank (11 shared papers)Rajeev S. Samant (5 shared papers)Lalita A. Shevde (4 shared papers)Brandon J. Metge (3 shared papers)
- Journals
- Blood (2 papers)Oncotarget (2 papers)Cancer Control (2 papers)Neoplasia (2 papers)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Suhu Liu
35 papers receiving 1.5k citations
Suhu Liu's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 298
- Oncology 460
- Immunology 278
- Molecular Biology 878
- Hematology 90
Countries citing papers authored by Suhu Liu
This map shows the geographic impact of Suhu Liu'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 Suhu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhu Liu more than expected).
Fields of papers citing papers by Suhu Liu
This network shows the impact of papers produced by Suhu Liu. 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 Suhu Liu. The network helps show where Suhu Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Suhu Liu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The gene expression profiles of primary and metastatic melanoma yields a transition point of tumor progression and metastasis Hit paper breakdown → | 2008 | 426 |
| 2 | 2014 | 140 | |
| 3 | 2008 | 112 | |
| 4 | 2009 | 101 | |
| 5 | 2015 | 93 | |
| 6 | 2009 | 81 | |
| 7 | 2018 | 61 | |
| 8 | 2014 | 52 | |
| 9 | 2015 | 50 | |
| 10 | 2007 | 44 | |
| 11 | 2012 | 38 | |
| 12 | 2016 | 31 | |
| 13 | 2007 | 26 | |
| 14 | 2004 | 26 | |
| 15 | 2018 | 22 | |
| 16 | 2021 | 20 | |
| 17 | 2019 | 20 | |
| 18 | 2009 | 20 | |
| 19 | 2008 | 18 | |
| 20 | 2009 | 17 |
About Suhu Liu
Suhu Liu is a scholar working on Molecular Biology, Oncology, Immunology, Pulmonary and Respiratory Medicine and Hematology, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Protein Degradation and Inhibitors (4 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), interferon and immune responses (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (298 citations), Oncology (460 citations), Immunology (278 citations), Molecular Biology (878 citations) and Hematology (90 citations). Suhu Liu has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Adam I. Riker, Paul Howell, Øystein Fodstad, Suping Ren, David A. Frank, Rajeev S. Samant, Lalita A. Shevde, Brandon J. Metge, Sarah R. Walker and Jennifer Yeh. Their work appears in journals such as Blood, Oncotarget, Cancer Control, Neoplasia and Journal of Medicinal Chemistry.
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.