Mingzhong Zheng
- Molecular Biology
- Oncology top 10%
- Hematology top 5%
- Immunology top 10%
- Genetics top 10%
- Co-authors
- Elizabeth A. GrimmSunil ChadaRajagopal RameshDora BocangelAbner M. MhashilkarCarla S. WilsonJohn D. ShaughnessyJohn Crowley
- Topics
- Virus-based gene therapy research (6 papers)CAR-T cell therapy research (5 papers)Cytokine Signaling Pathways and Interactions (4 papers)
- Cited by
- HematologyMolecular MedicineOncology
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Mingzhong Zheng
15 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Molecular Biology 596
- Oncology 393
- Hematology 340
- Immunology 232
- Genetics 216
Countries citing papers authored by Mingzhong Zheng
This map shows the geographic impact of Mingzhong Zheng'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 Mingzhong Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingzhong Zheng more than expected).
Fields of papers citing papers by Mingzhong Zheng
This network shows the impact of papers produced by Mingzhong Zheng. 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 Mingzhong Zheng. The network helps show where Mingzhong Zheng may publish in the future.
Co-authorship network of co-authors of Mingzhong Zheng
This figure shows the co-authorship network connecting the top 25 collaborators of Mingzhong Zheng. A scholar is included among the top collaborators of Mingzhong Zheng 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 Mingzhong Zheng. Mingzhong Zheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 26 | |
| 5 | 43 | |
| 6 | 21 | |
| 7 | 5 | |
| 8 | 49 | |
| 9 | 44 | |
| 10 | 56 | |
| 11 | 89 | |
| 12 | 126 | |
| 13 | Negative association of melanoma differentiation-associated gene (mda-7) and inducible nitric oxide synthase (iNOS) in human melanoma: MDA-7 regulates iNOS expression in melanoma cells. | 38 |
| 14 | 7 | |
| 15 | Global gene expression profiling of multiple myeloma, monoclonal gammopathy of undetermined significance, and normal bone marrow plasma cellsbreakdown → | 507 |
| 16 | 14 |
About Mingzhong Zheng
Mingzhong Zheng is a scholar working on Energy Engineering and Power Technology, Oncology and Immunology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), CAR-T cell therapy research (5 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Hematology (340 citations), Molecular Medicine (80 citations) and Oncology (393 citations). Mingzhong Zheng has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Elizabeth A. Grimm, Sunil Chada, Rajagopal Ramesh, Dora Bocangel, Abner M. Mhashilkar, Carla S. Wilson, John D. Shaughnessy, John Crowley, Bart Barlogie and Klaus Bumm. Their work appears in journals such as Journal of Biological Chemistry, Blood and Bioinformatics.
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.