Ling Fu
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 14
- HER2/EGFR in Cancer Research 4
- Colorectal Cancer Treatments and Studies 3
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- Biochemical and Structural Characterization 4
- Co-authors
- Lukas C. Amler (6 shared papers)Robert L. Yauch (3 shared papers)David A. Eberhard (1 shared paper)Wenjing Zhu (1 shared paper)Somasekar Seshagiri (1 shared paper)Guy Cavet (1 shared paper)Zora Modrušan (1 shared paper)Chin‐Yu Lin (1 shared paper)
- Journals
- PLoS ONE (3 papers)Journal of Clinical Oncology (3 papers)Clinical Cancer Research (2 papers)Toxins (2 papers)Antiviral Research (2 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Ling Fu
56 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Oncology 491
- Cancer Research 210
- Immunology 289
- Pulmonary and Respiratory Medicine 258
- Immunology and Allergy 47
Countries citing papers authored by Ling Fu
This map shows the geographic impact of Ling Fu'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 Ling Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Fu more than expected).
Fields of papers citing papers by Ling Fu
This network shows the impact of papers produced by Ling Fu. 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 Ling Fu. The network helps show where Ling Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Fu, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 417 | |
| 2 | 2001 | 173 | |
| 3 | 2015 | 87 | |
| 4 | 2014 | 84 | |
| 5 | 2005 | 70 | |
| 6 | 2013 | 55 | |
| 7 | 2014 | 41 | |
| 8 | 2012 | 35 | |
| 9 | 2007 | 34 | |
| 10 | 2020 | 32 | |
| 11 | 2022 | 30 | |
| 12 | 1995 | 28 | |
| 13 | 2015 | 28 | |
| 14 | 2022 | 27 | |
| 15 | 2017 | 26 | |
| 16 | 2016 | 25 | |
| 17 | 2016 | 24 | |
| 18 | 1997 | 23 | |
| 19 | 2018 | 21 | |
| 20 | 2009 | 16 |
About Ling Fu
Ling Fu is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Infectious Diseases, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Biochemical and Structural Characterization (4 papers), HER2/EGFR in Cancer Research (4 papers), interferon and immune responses (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Immunotherapy and Immune Responses (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Oncology (491 citations), Cancer Research (210 citations), Immunology (289 citations), Pulmonary and Respiratory Medicine (258 citations) and Immunology and Allergy (47 citations). Ling Fu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Lukas C. Amler, Robert L. Yauch, David A. Eberhard, Wenjing Zhu, Somasekar Seshagiri, Guy Cavet, Zora Modrušan, Chin‐Yu Lin, Robert Soriano and Vincent O’Neill. Their work appears in journals such as PLoS ONE, Journal of Clinical Oncology, Clinical Cancer Research, Toxins and Antiviral 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.