Guo Long
Impact in
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- Cancer Genomics and Diagnostics
- Cancer, Lipids, and Metabolism
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Ubiquitin and proteasome pathways 4
- RNA modifications and cancer 4
- Cancer-related gene regulation 3
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Ledu Zhou (20 shared papers)Jianing Tang (9 shared papers)Xiao Liang (3 shared papers)Xi Hu (3 shared papers)Dong Wang (3 shared papers)Zhiming Wang (1 shared paper)Lei Yao (1 shared paper)Liang Xiao (1 shared paper)
- Journals
- Frontiers in Oncology (4 papers)Frontiers in Immunology (2 papers)Journal of Clinical Oncology (2 papers)Cell Death and Disease (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Guo Long
26 papers receiving 524 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 112
- Hepatology 53
- Oncology 139
- Pulmonary and Respiratory Medicine 125
- Molecular Biology 187
Countries citing papers authored by Guo Long
This map shows the geographic impact of Guo Long'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 Guo Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo Long more than expected).
Fields of papers citing papers by Guo Long
This network shows the impact of papers produced by Guo Long. 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 Guo Long. The network helps show where Guo Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Guo Long, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 142 | |
| 2 | 2023 | 71 | |
| 3 | 2023 | 57 | |
| 4 | 2022 | 25 | |
| 5 | 2021 | 23 | |
| 6 | 2014 | 22 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 19 | |
| 9 | 2023 | 18 | |
| 10 | 2022 | 16 | |
| 11 | 2023 | 16 | |
| 12 | 2023 | 16 | |
| 13 | 2020 | 13 | |
| 14 | 2022 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2022 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2024 | 6 |
About Guo Long
Guo Long is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 27 papers that have together received 527 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (5 papers), Cancer Genomics and Diagnostics (5 papers), Ubiquitin and proteasome pathways (4 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Genetic factors in colorectal cancer (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cancer Research (112 citations), Hepatology (53 citations), Oncology (139 citations), Pulmonary and Respiratory Medicine (125 citations) and Molecular Biology (187 citations). Guo Long has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Ledu Zhou, Jianing Tang, Xiao Liang, Xi Hu, Dong Wang, Zhiming Wang, Lei Yao, Liang Xiao, Kuan Hu and Desheng Xiao. Their work appears in journals such as Frontiers in Oncology, Frontiers in Immunology, Journal of Clinical Oncology, Cell Death and Disease and Biochemical and Biophysical Research Communications.
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.