Pengping Li
Impact in
- Genetics top 1%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Cancer-related molecular mechanisms research 4
- Oncology 8
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Yuqing Huang (5 shared papers)Zhijie Zhang (8 shared papers)Weijun Zhang (3 shared papers)Yizhao Zhou (4 shared papers)Zhenyu Wang (1 shared paper)Rongguo Li (2 shared papers)Shifei Huang (3 shared papers)Muxing Kang (3 shared papers)
- Journals
- Frontiers in Immunology (5 papers)Frontiers in Oncology (4 papers)Materials (3 papers)Aging (3 papers)Frontiers in Medicine (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pengping Li
46 papers receiving 2.3k citations
Pengping Li's Hit Papers
Peers
Comparison fields: 5 of 98
- Genetics 941
- Cancer Research 649
- Immunology 485
- Neurology 163
- Oncology 418
Countries citing papers authored by Pengping Li
This map shows the geographic impact of Pengping Li'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 Pengping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengping Li more than expected).
Fields of papers citing papers by Pengping Li
This network shows the impact of papers produced by Pengping Li. 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 Pengping Li. The network helps show where Pengping Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Pengping Li, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tumor Evolution of Glioma-Intrinsic Gene Expression Subtypes Associates with Immunological Changes in the Microenvironment Hit paper breakdown → | 2017 | 1486 |
| 2 | 2018 | 275 | |
| 3 | 2021 | 58 | |
| 4 | 2019 | 58 | |
| 5 | 2023 | 46 | |
| 6 | 2018 | 39 | |
| 7 | 2019 | 28 | |
| 8 | 2020 | 24 | |
| 9 | 2015 | 23 | |
| 10 | 2021 | 22 | |
| 11 | 2023 | 21 | |
| 12 | 2014 | 20 | |
| 13 | 2021 | 17 | |
| 14 | 2017 | 15 | |
| 15 | 2017 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2022 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2023 | 11 |
About Pengping Li
Pengping Li is a scholar working on Cancer Research, Oncology, Infectious Diseases, Molecular Biology and Civil and Structural Engineering, having authored 48 papers that have together received 2.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), Concrete and Cement Materials Research (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), Circular RNAs in diseases (3 papers), Concrete Corrosion and Durability (3 papers) and Innovative concrete reinforcement materials (3 papers). The work is most often cited by research in Genetics (941 citations), Cancer Research (649 citations), Immunology (485 citations), Neurology (163 citations) and Oncology (418 citations). Pengping Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuqing Huang, Zhijie Zhang, Weijun Zhang, Yizhao Zhou, Zhenyu Wang, Rongguo Li, Shifei Huang, Muxing Kang, Guodong Cao and Bo Zhang. Their work appears in journals such as Frontiers in Immunology, Frontiers in Oncology, Materials, Aging and Frontiers in Medicine.
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.