Shudong Zhang
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 5%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Timothy W. GantCian M. McCruddenQiuzhuo ZhangHang Fai KwokJinju HouFrank Emmert‐StreibQing WenHiu‐Fung Yuen
- Topics
- Genomics and Phylogenetic Studies (19 papers)Gene expression and cancer classification (15 papers)Bioinformatics and Genomic Networks (15 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Shudong Zhang
267 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 193
- Molecular Biology 2.2k
- Oncology 641
- Cancer Research 541
- Surgery 431
- Pulmonary and Respiratory Medicine 411
Countries citing papers authored by Shudong Zhang
This map shows the geographic impact of Shudong Zhang'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 Shudong Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shudong Zhang more than expected).
Fields of papers citing papers by Shudong Zhang
This network shows the impact of papers produced by Shudong Zhang. 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 Shudong Zhang. The network helps show where Shudong Zhang may publish in the future.
Co-authorship network of co-authors of Shudong Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Shudong Zhang. A scholar is included among the top collaborators of Shudong Zhang 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 Shudong Zhang. Shudong Zhang 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 | 6 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 22 | |
| 7 | 1 | |
| 8 | 28 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 25 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 20 | |
| 18 | On the Response Features of Porosity Spectrum of Dolomite Reservoirs in Dengying Formation of Sinian System of Central Sichuan Area | 1 |
| 19 | On Deep & Shallow Laterolog Data Interpretation of Complex Carbonate Reservoir with High Resistivity | 1 |
| 20 | Location Information Service Based on Location Prediction and Update in Time for Mobile Ad Hoc Networks | 0 |
About Shudong Zhang
Shudong Zhang is a scholar working on Molecular Biology, Oncology and Cell Biology, having authored 297 papers that have together received 4.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (19 papers), Gene expression and cancer classification (15 papers) and Bioinformatics and Genomic Networks (15 papers). The work is most often cited by research in Cancer Research (541 citations), Molecular Biology (2.2k citations) and Oncology (641 citations). Shudong Zhang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Timothy W. Gant, Cian M. McCrudden, Qiuzhuo Zhang, Hang Fai Kwok, Jinju Hou, Frank Emmert‐Streib, Qing Wen, Hiu‐Fung Yuen, Laleh Soltan Ghoraie and Olli Yli‐Harja. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical Investigation.
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.