Pucha Jiang
Impact in
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- Mesenchymal stem cell research
- Glioma Diagnosis and Treatment
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Angiogenesis and VEGF in Cancer 3
- Ubiquitin and proteasome pathways 1
- Genetics 6
- Glioma Diagnosis and Treatment 5
- 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)Chao Ma (2 shared papers)Zhiqiang Li (3 shared papers)Weiqi Yao (1 shared paper)Hong Zhang (1 shared paper)
- Journals
- Journal of Translational Medicine (3 papers)Journal of Neuro-Oncology (2 papers)Cancer Biomarkers (1 paper)Brain Research (1 paper)Neurosurgical Review (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Pucha Jiang
23 papers receiving 358 citations
Peers
Comparison fields: 5 of 45
- Genetics 65
- Cancer Research 68
- Immunology and Allergy 24
- Neurology 48
- Hepatology 19
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 | 61 | |
| 2 | 2012 | 46 | |
| 3 | 2011 | 35 | |
| 4 | 2011 | 34 | |
| 5 | 2017 | 28 | |
| 6 | 2005 | 27 | |
| 7 | 2006 | 21 | |
| 8 | 2012 | 19 | |
| 9 | 2006 | 16 | |
| 10 | 2022 | 14 | |
| 11 | 2013 | 12 | |
| 12 | [The expression of hepatocyte growth factor and its receptor in brain astrocytomas]. | 2005 | 12 |
| 13 | 2015 | 10 | |
| 14 | 2013 | 10 | |
| 15 | 2018 | 6 | |
| 16 | 2008 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2021 | 1 | |
| 20 | Influence of focal adhesion kinase on the biological behaviors of human glioma cells | 2006 | 1 |
About Pucha Jiang
Pucha Jiang is a scholar working on Molecular Biology, Genetics, Cell Biology, Pathology and Forensic Medicine and Neurology, having authored 24 papers that have together received 365 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Angiogenesis and VEGF in Cancer (3 papers), Cell Adhesion Molecules Research (3 papers), Liver physiology and pathology (2 papers), interferon and immune responses (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Genetics (65 citations), Cancer Research (68 citations), Immunology and Allergy (24 citations), Neurology (48 citations) and Hepatology (19 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, Chao Ma, Zhiqiang Li, Weiqi Yao, Hong Zhang, Dongcheng Wu and Tao Wu. Their work appears in journals such as Journal of Translational Medicine, Journal of Neuro-Oncology, Cancer Biomarkers, Brain Research and Neurosurgical Review.
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.