Kong‐Nan Zhao

2.3k citations
72 papers · 1.8k indexed · h-index 22
  • Immunology top 10%
    • T-cell and Retrovirus Studies 5
  • Oncology top 10%
  • Epidemiology top 10%
    • Cervical Cancer and HPV Research 13
    • Herpesvirus Infections and Treatments 5
    • RNA and protein synthesis mechanisms 7
    • RNA modifications and cancer 7
    • Virus-based gene therapy research 12
    • Venomous Animal Envenomation and Studies 5
    • Bacteriophages and microbial interactions 5

Kong‐Nan Zhao

68 papers receiving 1.7k citations

Peers

Kong‐Nan Zhao
Comparison fields: 5 of 108
  • Cancer Research 248
  • Immunology 347
  • Oncology 406
  • Epidemiology 466
  • Molecular Biology 831
Replace Patricio Gariglio with:
Patricio Gariglio Mexico
Choon Kiat Ong Singapore
Ning Yang China
Priyanka Verma India
Enrique Boccardo Brazil
Cong Xu China
Nasim A. Begum Japan
Ying Ju China
Karen Toy United States
Mohammad Jamaluddin United States
Kong‐Nan Zhao relative to Patricio Gariglio Mexico Patricio Gariglio's profile →
Citations per field
00.5×3.7×
Patricio Gariglio · 1×
Citations per year

Countries citing papers authored by Kong‐Nan Zhao

Since Specialization
Citations

This map shows the geographic impact of Kong‐Nan Zhao'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 Kong‐Nan Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kong‐Nan Zhao more than expected).

Fields of papers citing papers by Kong‐Nan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kong‐Nan Zhao. 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 Kong‐Nan Zhao. The network helps show where Kong‐Nan Zhao may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kong‐Nan Zhao, 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 Kong‐Nan Zhao Line = papers co-authored together Kong‐Nan Zhao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 202333
3 20224
4 202217
5 202032
6 20208
7 20200
8 20203
9 20158
10 201419
11 201414
12 20133
13 20135
14 20132
15 201341
16 20134
17 200718
18 200371
19 200126
20 199411

About Kong‐Nan Zhao

Kong‐Nan Zhao is a scholar working on Virology, Genetics and Immunology, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (13 papers), Virus-based gene therapy research (12 papers), RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (7 papers), T-cell and Retrovirus Studies (5 papers), Venomous Animal Envenomation and Studies (5 papers), Bacteriophages and microbial interactions (5 papers) and Herpesvirus Infections and Treatments (5 papers). The work is most often cited by research in Cancer Research (248 citations), Immunology (347 citations) and Oncology (406 citations). Kong‐Nan Zhao has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Jiezhong Chen, Ian H. Frazer, Lifang Zhang, Luis Vitetta, Liang Zhao, Chen Chen, Jian Wu, Ming Tat Ling, Wen Jun Liu and Xiangyang Xue. Their work appears in journals such as Virology, Current Medicinal Chemistry, Biomolecules, Applied Microbiology and Biotechnology and Current Cancer Drug Targets.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026