Z. Pan

787 citations
28 papers · 610 · h-index 11

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 8
    • Insect Resistance and Genetics 3
    • RNA Research and Splicing 3
    • Silk-based biomaterials and applications 6

Z. Pan

26 papers receiving 596 citations

Peers

Z. Pan
Comparison fields: 5 of 94
  • Sensory Systems 66
  • Insect Science 98
  • Cellular and Molecular Neuroscience 131
  • Cardiology and Cardiovascular Medicine 145
  • Molecular Biology 319
Replace Michael P. McKenna with:
Michael P. McKenna United States
Kusum Singh India
Raveendra Anangi Australia
Yagiz Alp Aksoy Australia
Rahul Mahajan United States
Emily Taylor United Kingdom
Rui-Ting Li China
J.L. Dutton Australia
Sonchita Bagchi Sweden
L M Mertz United States
Z. Pan relative to Michael P. McKenna United States Michael P. McKenna's profile →
Citations per field
00.5×8.1×
Michael P. McKenna · 1×
Citations per year

Countries citing papers authored by Z. Pan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Z. Pan Line = papers co-authored together Z. Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001209
2 2010101
3 201448
4 199938
5 201235
6 201133
7 201226
8 201919
9 201017
10 201714
11 201313
12 202210
13 20119
14 20155
15 20145
16 20244
17 20254
18 20124
19 20233
20 20233

About Z. Pan

Z. Pan is a scholar working on Molecular Biology, Biomaterials, Immunology, Insect Science and Genetics, having authored 28 papers that have together received 610 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (8 papers), Silk-based biomaterials and applications (6 papers), Invertebrate Immune Response Mechanisms (6 papers), Insect Utilization and Effects (5 papers), Silkworms and Sericulture Research (4 papers), Insect Resistance and Genetics (3 papers), RNA Research and Splicing (3 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Sensory Systems (66 citations), Insect Science (98 citations), Cellular and Molecular Neuroscience (131 citations), Cardiology and Cardiovascular Medicine (145 citations) and Molecular Biology (319 citations). Z. Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ran Wei, Peter S. Reinach, Hua Yang, José E. Capó‐Aponte, Guangli Cao, Renyu Xue, Chengliang Gong, M. Raafat El‐Maghrabi, S. Jeffrey Dixon and David McKinnon. Their work appears in journals such as Gene, International Journal of Molecular Sciences, Molecular Biology Reports, Archives of Insect Biochemistry and Physiology and Experimental Eye 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.

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