Juling Zhang
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Protein Interaction Studies and Fluorescence Analysis 5
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- Formal Methods in Verification 5
- semigroups and automata theory 2
- Co-authors
- Chunmei Bao (6 shared papers)Huaimin Gu (4 shared papers)Fen Qu (3 shared papers)Guowu Yang (6 shared papers)Tao Yang (2 shared papers)Yanling Zhao (2 shared papers)Xing Chen (2 shared papers)Jianzhong Zhang (2 shared papers)
- Journals
- IEEE Access (3 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (3 papers)BMC Infectious Diseases (2 papers)Symmetry (2 papers)Gene (1 paper)
- Partner nations
- ChinaUnited StatesSierra Leone
In The Last Decade
Juling Zhang
26 papers receiving 335 citations
Peers
Comparison fields: 5 of 87
- Endocrinology 61
- Molecular Medicine 57
- Applied Microbiology and Biotechnology 9
- Infectious Diseases 39
- Hepatology 16
Countries citing papers authored by Juling Zhang
This map shows the geographic impact of Juling 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 Juling Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juling Zhang more than expected).
Fields of papers citing papers by Juling Zhang
This network shows the impact of papers produced by Juling 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 Juling Zhang. The network helps show where Juling Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Juling 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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 49 | |
| 2 | 2017 | 40 | |
| 3 | 2012 | 32 | |
| 4 | 2020 | 28 | |
| 5 | 2013 | 27 | |
| 6 | 2018 | 26 | |
| 7 | 2013 | 22 | |
| 8 | 2013 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2016 | 12 | |
| 11 | 2014 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2013 | 5 | |
| 14 | 2018 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2013 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 4 |
About Juling Zhang
Juling Zhang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Artificial Intelligence and Infectious Diseases, having authored 28 papers that have together received 338 indexed citations. Recurring topics across this work include Protein Interaction Studies and Fluorescence Analysis (5 papers), Formal Methods in Verification (5 papers), Software Testing and Debugging Techniques (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Network Security and Intrusion Detection (2 papers), Cryptographic Implementations and Security (2 papers), semigroups and automata theory (2 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Endocrinology (61 citations), Molecular Medicine (57 citations), Applied Microbiology and Biotechnology (9 citations), Infectious Diseases (39 citations) and Hepatology (16 citations). Juling Zhang has collaborated with scholars based in China, United States and Sierra Leone. Frequent co-authors include Chunmei Bao, Huaimin Gu, Fen Qu, Guowu Yang, Tao Yang, Yanling Zhao, Xing Chen, Jianzhong Zhang, William N. N. Hung and Shizhang Wei. Their work appears in journals such as IEEE Access, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, BMC Infectious Diseases, Symmetry and Gene.
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.