Pingping Mao
Impact in
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- Cancer-related Molecular Pathways
- HER2/EGFR in Cancer Research
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- Chronic Lymphocytic Leukemia Research
Papers in
- Oncology 8
- Cancer-related Molecular Pathways 4
- Lung Cancer Research Studies 2
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- Epigenetics and DNA Methylation 3
- Fibroblast Growth Factor Research 3
- Co-authors
- Nikhil Wagle (10 shared papers)Ofir Cohen (7 shared papers)Michael J. Spinella (5 shared papers)Kailey J. Kowalski (7 shared papers)Seth A. Wander (6 shared papers)Utthara Nayar (4 shared papers)Eric P. Winer (5 shared papers)Samuel S. Freeman (3 shared papers)
- Journals
- Cancer Research (9 papers)Clinical Cancer Research (1 paper)Ecological Indicators (1 paper)The AAPS Journal (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesSpainNetherlands
In The Last Decade
Pingping Mao
15 papers receiving 252 citations
Peers
Comparison fields: 5 of 61
- Oncology 87
- Genetics 30
- Cancer Research 38
- Pulmonary and Respiratory Medicine 81
- Molecular Biology 100
Countries citing papers authored by Pingping Mao
This map shows the geographic impact of Pingping Mao'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 Pingping Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingping Mao more than expected).
Fields of papers citing papers by Pingping Mao
This network shows the impact of papers produced by Pingping Mao. 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 Pingping Mao. The network helps show where Pingping Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingping Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 96 | |
| 2 | 2021 | 40 | |
| 3 | 2011 | 33 | |
| 4 | 2013 | 25 | |
| 5 | 2021 | 21 | |
| 6 | 2018 | 14 | |
| 7 | 2018 | 12 | |
| 8 | 2014 | 5 | |
| 9 | 2021 | 2 | |
| 10 | 2017 | 1 | |
| 11 | 2014 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2012 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2019 | 0 | |
| 17 | 2021 | 0 | |
| 18 | 2019 | 0 |
About Pingping Mao
Pingping Mao is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 18 papers that have together received 254 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (6 papers), Cancer-related Molecular Pathways (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer Genomics and Diagnostics (3 papers), Fibroblast Growth Factor Research (3 papers), Lung Cancer Research Studies (2 papers), Multiple Myeloma Research and Treatments (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Oncology (87 citations), Genetics (30 citations), Cancer Research (38 citations), Pulmonary and Respiratory Medicine (81 citations) and Molecular Biology (100 citations). Pingping Mao has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Nikhil Wagle, Ofir Cohen, Michael J. Spinella, Kailey J. Kowalski, Seth A. Wander, Utthara Nayar, Eric P. Winer, Samuel S. Freeman, Nancy U. Lin and Adrienne G. Waks. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Ecological Indicators, The AAPS Journal and Journal of Clinical Oncology.
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.