Jingshan Zhang
- Molecular Biology
- Infectious Diseases top 10%
- Biomedical Engineering
- Parasitology top 5%
- Electrical and Electronic Engineering
- Co-authors
- B. I. ShklovskiǐEugene I. ShakhnovichSergei MaslovAlan S. PerelsonXiuping FuLijuan ZhangZhenjun LiJérôme Mathé
- Topics
- Vector-borne infectious diseases (8 papers)Viral Infections and Vectors (7 papers)Multiple Myeloma Research and Treatments (6 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersJournal of Clinical Oncology
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jingshan Zhang
43 papers receiving 835 citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 227
- Infectious Diseases 149
- Biomedical Engineering 143
- Parasitology 104
- Electrical and Electronic Engineering 96
Countries citing papers authored by Jingshan Zhang
This map shows the geographic impact of Jingshan 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 Jingshan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingshan Zhang more than expected).
Fields of papers citing papers by Jingshan Zhang
This network shows the impact of papers produced by Jingshan 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 Jingshan Zhang. The network helps show where Jingshan Zhang may publish in the future.
Co-authorship network of co-authors of Jingshan Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Jingshan Zhang. A scholar is included among the top collaborators of Jingshan 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 Jingshan Zhang. Jingshan 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 | 26 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | 12 | |
| 9 | 57 | |
| 10 | 28 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 13 | |
| 14 | 47 | |
| 15 | Constraints imposed by nonfunctional protein-protein interactions on gene expression and proteome size | 6 |
| 16 | 3 | |
| 17 | 63 | |
| 18 | 56 | |
| 19 | 2 | |
| 20 | 102 |
About Jingshan Zhang
Jingshan Zhang is a scholar working on Microbiology, Parasitology and Endocrinology, having authored 43 papers that have together received 848 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (8 papers), Viral Infections and Vectors (7 papers) and Multiple Myeloma Research and Treatments (6 papers). The work is most often cited by research in Parasitology (104 citations), Virology (39 citations) and Infectious Diseases (149 citations). Jingshan Zhang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include B. I. Shklovskiǐ, Eugene I. Shakhnovich, Sergei Maslov, Alan S. Perelson, Xiuping Fu, Lijuan Zhang, Zhenjun Li, Jérôme Mathé, A. MELLER and Douwe Jan Bonthuis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Clinical Oncology.
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.