Z. Pan
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
- Insect Science top 5%
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 8
- RNA Research and Splicing 3
-
- Silk-based biomaterials and applications 7
- Co-authors
- Ran Wei (1 shared paper)Peter S. Reinach (3 shared papers)Hua Yang (1 shared paper)Guangli Cao (8 shared papers)José E. Capó‐Aponte (1 shared paper)Chengliang Gong (8 shared papers)Renyu Xue (8 shared papers)Irina A. Potapova (1 shared paper)
- Journals
- Gene (2 papers)International Journal of Molecular Sciences (2 papers)Molecular Biology Reports (2 papers)Advanced Functional Materials (2 papers)Archives of Insect Biochemistry and Physiology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Z. Pan
30 papers receiving 602 citations
Peers
Comparison fields: 5 of 94
- Sensory Systems 66
- Insect Science 100
- Cellular and Molecular Neuroscience 140
- Cardiology and Cardiovascular Medicine 148
- Molecular Biology 359
Countries citing papers authored by Z. Pan
This map shows the geographic impact of Z. 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 Z. Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Pan more than expected).
Fields of papers citing papers by Z. Pan
This network shows the impact of papers produced by Z. 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 Z. Pan. The network helps show where Z. Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Z. 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 208 | |
| 2 | 2010 | 100 | |
| 3 | 2014 | 46 | |
| 4 | 1999 | 38 | |
| 5 | 2012 | 35 | |
| 6 | 2011 | 33 | |
| 7 | 2012 | 26 | |
| 8 | 2019 | 18 | |
| 9 | 2010 | 17 | |
| 10 | 2017 | 14 | |
| 11 | 2011 | 13 | |
| 12 | 2013 | 13 | |
| 13 | 2011 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2015 | 5 | |
| 16 | 2014 | 5 | |
| 17 | 2012 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 3 |
About Z. Pan
Z. Pan is a scholar working on Molecular Biology, Biomaterials, Immunology, Insect Science and Genetics, having authored 31 papers that have together received 618 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (8 papers), Silk-based biomaterials and applications (7 papers), Invertebrate Immune Response Mechanisms (6 papers), Insect Utilization and Effects (5 papers), Silkworms and Sericulture Research (4 papers), RNA Research and Splicing (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Sensory Systems (66 citations), Insect Science (100 citations), Cellular and Molecular Neuroscience (140 citations), Cardiology and Cardiovascular Medicine (148 citations) and Molecular Biology (359 citations). Z. Pan has collaborated with scholars based in China and United States. Frequent co-authors include Ran Wei, Peter S. Reinach, Hua Yang, Guangli Cao, José E. Capó‐Aponte, Chengliang Gong, Renyu Xue, Irina A. Potapova, H. Wang and Benjamin Wagner. Their work appears in journals such as Gene, International Journal of Molecular Sciences, Molecular Biology Reports, Advanced Functional Materials and Archives of Insect Biochemistry and Physiology.
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.