Suhua Zhang
- Pollution top 2%
- Genetics top 2%
- Forensic and Genetic Research 66
- Genetic diversity and population structure 15
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 11
- Cancer Genomics and Diagnostics 9
- Molecular Biology top 10%
- Molecular Biology Techniques and Applications 55
- Identification and Quantification in Food 9
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- Environmental DNA in Biodiversity Studies 14
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- Cardiac electrophysiology and arrhythmias 10
- Journals
- SHILAP Revista de lepidopterología (4 papers)Nature Biotechnology (1 paper)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Suhua Zhang
192 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 178
- Industrial and Manufacturing Engineering 251
- Pollution 337
- Genetics 818
- Cancer Research 252
- Molecular Biology 1.1k
Countries citing papers authored by Suhua Zhang
This map shows the geographic impact of Suhua 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 Suhua Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhua Zhang more than expected).
Fields of papers citing papers by Suhua Zhang
This network shows the impact of papers produced by Suhua 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 Suhua Zhang. The network helps show where Suhua Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suhua Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 2 | |
| 13 | 2019 | 8 | |
| 14 | 2018 | 3 | |
| 15 | 2015 | 3 | |
| 16 | 2014 | 32 | |
| 17 | Association between single nucleotide polymorphisms of PCSK1 and PCSK2 gene and newly diagnosed type 2 diabetes | 2014 | 1 |
| 18 | 2013 | 43 | |
| 19 | 2011 | 3 | |
| 20 | Establishment of hyperglycemic clamp technique | 2005 | 1 |
About Suhua Zhang
Suhua Zhang is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 216 papers that have together received 2.7k indexed citations. Recurring topics across this work include Forensic and Genetic Research (66 papers), Molecular Biology Techniques and Applications (55 papers), Genetic diversity and population structure (15 papers), Environmental DNA in Biodiversity Studies (14 papers), Cancer-related molecular mechanisms research (11 papers), Cardiac electrophysiology and arrhythmias (10 papers), Cancer Genomics and Diagnostics (9 papers) and Identification and Quantification in Food (9 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (251 citations), Pollution (337 citations) and Genetics (818 citations). Suhua Zhang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chengtao Li, Ye Tang, Dong Wu, Xiaomin Ji, Shumin Zhao, Bing Xie, Yinglong Su, Yaping Zhao, Yong Zhang and Yingnan Bian. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and PLoS ONE.
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.