Ziqi Pan
Impact in
- Health Informatics top 10%
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 5
- Machine Learning in Bioinformatics 5
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 2
- RNA modifications and cancer 2
-
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Feng Zhu (13 shared papers)Minjie Mou (11 shared papers)Hanyu Zhang (7 shared papers)Lingyan Zheng (5 shared papers)Honglin Li (8 shared papers)Mingkun Lu (5 shared papers)Yunxia Wang (5 shared papers)Xiuna Sun (4 shared papers)
- Journals
- Analytical Chemistry (2 papers)Computers in Biology and Medicine (2 papers)Briefings in Bioinformatics (2 papers)Nucleic Acids Research (2 papers)Research (2 papers)
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
Ziqi Pan
27 papers receiving 499 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 17
- Computational Theory and Mathematics 111
- Molecular Biology 263
- Cancer Research 48
- Spectroscopy 42
Countries citing papers authored by Ziqi Pan
This map shows the geographic impact of Ziqi Pan'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 Ziqi Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziqi Pan more than expected).
Fields of papers citing papers by Ziqi Pan
This network shows the impact of papers produced by Ziqi Pan. 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 Ziqi Pan. The network helps show where Ziqi Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ziqi Pan, 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 | 2023 | 72 | |
| 2 | 2023 | 68 | |
| 3 | 2024 | 38 | |
| 4 | 2023 | 38 | |
| 5 | 2019 | 37 | |
| 6 | 2022 | 33 | |
| 7 | 2022 | 32 | |
| 8 | 2023 | 31 | |
| 9 | 2022 | 22 | |
| 10 | 2024 | 20 | |
| 11 | 2021 | 20 | |
| 12 | 2020 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2010 | 9 | |
| 17 | 2023 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2025 | 4 |
About Ziqi Pan
Ziqi Pan is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Organic Chemistry, having authored 28 papers that have together received 502 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (5 papers), Computational Drug Discovery Methods (5 papers), RNA and protein synthesis mechanisms (5 papers), Advanced X-ray and CT Imaging (2 papers), RNA Research and Splicing (2 papers), Adversarial Robustness in Machine Learning (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Health Informatics (17 citations), Computational Theory and Mathematics (111 citations), Molecular Biology (263 citations), Cancer Research (48 citations) and Spectroscopy (42 citations). Ziqi Pan has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Feng Zhu, Minjie Mou, Hanyu Zhang, Lingyan Zheng, Honglin Li, Mingkun Lu, Yunxia Wang, Xiuna Sun, Fengcheng Li and Hongning Zhang. Their work appears in journals such as Analytical Chemistry, Computers in Biology and Medicine, Briefings in Bioinformatics, Nucleic Acids Research and 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.