Pucha Jiang
Impact in
-
- Mesenchymal stem cell research
- Glioma Diagnosis and Treatment
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Genetics 7
- Glioma Diagnosis and Treatment 6
-
- Cell Adhesion Molecules Research 3
- Co-authors
- Sheng‐Hua Chu (8 shared papers)Yan‐Bin Ma (6 shared papers)Dong‐Fu Feng (6 shared papers)Zhiqiang Li (6 shared papers)Chao Ma (2 shared papers)Weiqi Yao (1 shared paper)Zhiqiang Li (2 shared papers)Hong Zhang (1 shared paper)
- Journals
- Journal of Translational Medicine (3 papers)Neurosurgical Review (2 papers)Journal of Neuro-Oncology (2 papers)Journal of Cell Communication and Signaling (1 paper)Brain Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Pucha Jiang
24 papers receiving 363 citations
Peers
Comparison fields: 5 of 46
- Genetics 67
- Cancer Research 68
- Immunology and Allergy 24
- Neurology 51
- Molecular Biology 160
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 65 | |
| 2 | 2012 | 47 | |
| 3 | 2011 | 36 | |
| 4 | 2011 | 33 | |
| 5 | 2017 | 30 | |
| 6 | 2005 | 26 | |
| 7 | 2006 | 21 | |
| 8 | 2012 | 19 | |
| 9 | 2022 | 17 | |
| 10 | 2006 | 16 | |
| 11 | 2013 | 12 | |
| 12 | 2024 | 11 | |
| 13 | 2015 | 10 | |
| 14 | 2013 | 10 | |
| 15 | 2018 | 6 | |
| 16 | 2008 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 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 Genetics, Immunology and Allergy, Cell Biology, Pathology and Forensic Medicine and Cancer Research, having authored 25 papers that have together received 374 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Cell Adhesion Molecules Research (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Trigeminal Neuralgia and Treatments (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), interferon and immune responses (2 papers), Liver physiology and pathology (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Genetics (67 citations), Cancer Research (68 citations), Immunology and Allergy (24 citations), Neurology (51 citations) and Molecular Biology (160 citations). Pucha Jiang has collaborated with scholars based in China and United States. Frequent co-authors include Sheng‐Hua Chu, Yan‐Bin Ma, Dong‐Fu Feng, Zhiqiang Li, Chao Ma, Weiqi Yao, Zhiqiang Li, Hong Zhang, Dongcheng Wu and Hong Zhang. Their work appears in journals such as Journal of Translational Medicine, Neurosurgical Review, Journal of Neuro-Oncology, Journal of Cell Communication and Signaling 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.