Pucha Jiang
Impact in
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- Mesenchymal stem cell research
- Glioma Diagnosis and Treatment
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- MicroRNA in disease regulation
Papers in ⓘ
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- Epigenetics and DNA Methylation 4
- Angiogenesis and VEGF in Cancer 3
- Genomics and Chromatin Dynamics 2
- Genetics 7
- Glioma Diagnosis and Treatment 6
- Co-authors
- Sheng‐Hua Chu (9 shared papers)Dong‐Fu Feng (6 shared papers)Yan‐Bin Ma (6 shared papers)Zhiqiang Li (6 shared papers)Zhiqiang Li (3 shared papers)Hong Zhang (1 shared paper)Chao Ma (2 shared papers)Weiqi Yao (1 shared paper)
- Journals
- Journal of Translational Medicine (3 papers)Journal of Neuro-Oncology (2 papers)World Neurosurgery (1 paper)Cancer Biomarkers (1 paper)Brain Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Pucha Jiang
23 papers receiving 344 citations
Peers
Comparison fields: 5 of 48
- Genetics 74
- Cancer Research 73
- Immunology and Allergy 24
- Neurology 52
- Molecular Biology 194
Countries citing papers authored by Pucha Jiang
This map shows the geographic impact of Pucha Jiang'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 Pucha Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pucha Jiang more than expected).
Fields of papers citing papers by Pucha Jiang
This network shows the impact of papers produced by Pucha Jiang. 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 Pucha Jiang. The network helps show where Pucha Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pucha Jiang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 58 | |
| 2 | 2012 | 46 | |
| 3 | 2011 | 35 | |
| 4 | 2011 | 34 | |
| 5 | 2017 | 26 | |
| 6 | 2005 | 22 | |
| 7 | 2006 | 20 | |
| 8 | 2012 | 19 | |
| 9 | 2006 | 16 | |
| 10 | 2022 | 13 | |
| 11 | 2013 | 12 | |
| 12 | [The expression of hepatocyte growth factor and its receptor in brain astrocytomas]. | 2005 | 12 |
| 13 | 2013 | 10 | |
| 14 | 2015 | 9 | |
| 15 | 2018 | 6 | |
| 16 | 2008 | 4 | |
| 17 | 2016 | 3 | |
| 18 | Influence of focal adhesion kinase on the biological behaviors of human glioma cells | 2006 | 1 |
| 19 | 2018 | 1 | |
| 20 | 2021 | 1 |
About Pucha Jiang
Pucha Jiang is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 24 papers that have together received 351 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Epigenetics and DNA Methylation (4 papers), MicroRNA in disease regulation (3 papers), Cell Adhesion Molecules Research (3 papers), Liver physiology and pathology (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Genomics and Chromatin Dynamics (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Genetics (74 citations), Cancer Research (73 citations), Immunology and Allergy (24 citations), Neurology (52 citations) and Molecular Biology (194 citations). Pucha Jiang has collaborated with scholars based in China and United States. Frequent co-authors include Sheng‐Hua Chu, Dong‐Fu Feng, Yan‐Bin Ma, Zhiqiang Li, Zhiqiang Li, Hong Zhang, Chao Ma, Weiqi Yao, Dongcheng Wu and Hong Zhang. Their work appears in journals such as Journal of Translational Medicine, Journal of Neuro-Oncology, World Neurosurgery, Cancer Biomarkers and Brain Research.
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.