Minghua Shan
- Pulmonary and Respiratory Medicine top 0.5%
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Oncology top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Ronald M. BukowskiBernard EscudierWalter M. StadlerCezary SzczylikTim EisenStéphane OudardTomasz DemkowFrédéric Rolland
- Topics
- Radiopharmaceutical Chemistry and Applications (13 papers)Prostate Cancer Treatment and Research (11 papers)Renal cell carcinoma treatment (8 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Minghua Shan
38 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Pulmonary and Respiratory Medicine 4.0k
- Molecular Biology 3.3k
- Cancer Research 2.1k
- Oncology 2.0k
- Radiology, Nuclear Medicine and Imaging 546
Countries citing papers authored by Minghua Shan
This map shows the geographic impact of Minghua Shan'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 Minghua Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghua Shan more than expected).
Fields of papers citing papers by Minghua Shan
This network shows the impact of papers produced by Minghua Shan. 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 Minghua Shan. The network helps show where Minghua Shan may publish in the future.
Co-authorship network of co-authors of Minghua Shan
This figure shows the co-authorship network connecting the top 25 collaborators of Minghua Shan. A scholar is included among the top collaborators of Minghua Shan 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 Minghua Shan. Minghua Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 126 | |
| 5 | 8 | |
| 6 | 132 | |
| 7 | 69 | |
| 8 | 3 | |
| 9 | 31 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 61 | |
| 13 | Sorafenib for Treatment of Renal Cell Carcinoma: Final Efficacy and Safety Results of the Phase III Treatment Approaches in Renal Cancer Global Evaluation Trialbreakdown → | 864 |
| 14 | 2 | |
| 15 | 15 | |
| 16 | Sorafenib in Advanced Clear-Cell Renal-Cell Carcinomabreakdown → | 3804 |
| 17 | 24 | |
| 18 | 51 | |
| 19 | Novel mutations in the CYP4V2 gene associated with Bietti crystalline corneoretinal dystrophy. | 44 |
| 20 | 37 |
About Minghua Shan
Minghua Shan is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 39 papers that have together received 6.0k indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (13 papers), Prostate Cancer Treatment and Research (11 papers) and Renal cell carcinoma treatment (8 papers). The work is most often cited by research in Cancer Research (2.1k citations), Pulmonary and Respiratory Medicine (4.0k citations) and Oncology (2.0k citations). Minghua Shan has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Ronald M. Bukowski, Bernard Escudier, Walter M. Stadler, Cezary Szczylik, Tim Eisen, Stéphane Oudard, Tomasz Demkow, Frédéric Rolland, Martin Gore and Apurva A. Desai. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Cancer 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.