Luping Lin
Impact in
- Oncology top 10%
-
- Cancer Genomics and Diagnostics
Papers in
-
- Melanoma and MAPK Pathways 3
- Epigenetics and DNA Methylation 2
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- Lung Cancer Treatments and Mutations 4
- Co-authors
- Trever G. Bivona (7 shared papers)David P. Carbone (3 shared papers)Victor Olivas (4 shared papers)Elton Chan (3 shared papers)Saurabh Asthana (4 shared papers)Sourav Bandyopadhyay (2 shared papers)Dana S. Neel (2 shared papers)Jenny Yan (2 shared papers)
- Journals
- Cancer Research (4 papers)Proceedings of the National Academy of Sciences (2 papers)Blood (1 paper)International Immunopharmacology (1 paper)Toxicon (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Luping Lin
25 papers receiving 802 citations
Peers
Comparison fields: 5 of 95
- Oncology 239
- Cancer Research 131
- Pathology and Forensic Medicine 112
- Pulmonary and Respiratory Medicine 191
- Molecular Biology 400
Countries citing papers authored by Luping Lin
This map shows the geographic impact of Luping Lin'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 Luping Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luping Lin more than expected).
Fields of papers citing papers by Luping Lin
This network shows the impact of papers produced by Luping Lin. 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 Luping Lin. The network helps show where Luping Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Luping Lin, 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 | 2015 | 146 | |
| 2 | 2020 | 77 | |
| 3 | 2014 | 74 | |
| 4 | 2012 | 69 | |
| 5 | 2011 | 64 | |
| 6 | 2016 | 57 | |
| 7 | 2012 | 55 | |
| 8 | 2010 | 55 | |
| 9 | 2021 | 52 | |
| 10 | 2016 | 35 | |
| 11 | 2015 | 31 | |
| 12 | 2017 | 28 | |
| 13 | 2024 | 12 | |
| 14 | 2020 | 9 | |
| 15 | 2007 | 8 | |
| 16 | 2005 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2022 | 6 | |
| 19 | Therapeutic effect of integrated traditional Chinese and western medicine on COVID-19 in Guangzhou | 2020 | 5 |
| 20 | 2024 | 4 |
About Luping Lin
Luping Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Infectious Diseases, having authored 27 papers that have together received 812 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), Melanoma and MAPK Pathways (3 papers), Cancer Genomics and Diagnostics (3 papers), Epigenetics and DNA Methylation (2 papers), Diet and metabolism studies (2 papers), Recreation, Leisure, Wilderness Management (1 paper), Environmental Education and Sustainability (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Oncology (239 citations), Cancer Research (131 citations), Pathology and Forensic Medicine (112 citations), Pulmonary and Respiratory Medicine (191 citations) and Molecular Biology (400 citations). Luping Lin has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Trever G. Bivona, David P. Carbone, Victor Olivas, Elton Chan, Saurabh Asthana, Sourav Bandyopadhyay, Dana S. Neel, Jenny Yan, Matthew A. Gubens and Gideon Bollag. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences, Blood, International Immunopharmacology and Toxicon.
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.