Zhengjia Chen
- Oncology top 0.5%
- Pulmonary and Respiratory Medicine top 0.5%
- Molecular Biology top 5%
- Surgery top 2%
- Cancer Research top 2%
- Co-authors
- Mark KrailoTaofeek K. OwonikokoDong M. ShinFadlo R. KhuriSuresh S. RamalingamBassel F. El‐RayesMadhusmita BeheraGabriel Sica
- Topics
- Lung Cancer Research Studies (27 papers)Lung Cancer Treatments and Mutations (25 papers)Neuroblastoma Research and Treatments (20 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesChinaCanada
In The Last Decade
Zhengjia Chen
256 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Oncology 3.1k
- Pulmonary and Respiratory Medicine 2.5k
- Molecular Biology 2.4k
- Surgery 1.2k
- Cancer Research 989
Countries citing papers authored by Zhengjia Chen
This map shows the geographic impact of Zhengjia Chen'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 Zhengjia Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengjia Chen more than expected).
Fields of papers citing papers by Zhengjia Chen
This network shows the impact of papers produced by Zhengjia Chen. 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 Zhengjia Chen. The network helps show where Zhengjia Chen may publish in the future.
Co-authorship network of co-authors of Zhengjia Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Zhengjia Chen. A scholar is included among the top collaborators of Zhengjia Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhengjia Chen. Zhengjia Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 22 | |
| 6 | 13 | |
| 7 | 39 | |
| 8 | 1 | |
| 9 | 220 | |
| 10 | 18 | |
| 11 | 23 | |
| 12 | 50 | |
| 13 | 99 | |
| 14 | 108 | |
| 15 | 49 | |
| 16 | 39 | |
| 17 | 71 | |
| 18 | 45 | |
| 19 | 104 | |
| 20 | 100 |
About Zhengjia Chen
Zhengjia Chen is a scholar working on Oncology, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 267 papers that have together received 8.3k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (27 papers), Lung Cancer Treatments and Mutations (25 papers) and Neuroblastoma Research and Treatments (20 papers). The work is most often cited by research in Oncology (3.1k citations), Pulmonary and Respiratory Medicine (2.5k citations) and Cancer Research (989 citations). Zhengjia Chen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Mark Krailo, Taofeek K. Owonikoko, Dong M. Shin, Fadlo R. Khuri, Suresh S. Ramalingam, Bassel F. El‐Rayes, Madhusmita Behera, Gabriel Sica, Nabil F. Saba and Sreenivas Nannapaneni. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.