Gan Zhao

3.0k total citations · 1 hit paper
43 papers, 2.3k citations indexed

About

Gan Zhao is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Gan Zhao has authored 43 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Immunology, 12 papers in Cancer Research and 10 papers in Molecular Biology. Recurrent topics in Gan Zhao's work include Immune Response and Inflammation (20 papers), Reproductive System and Pregnancy (11 papers) and Immunotherapy and Immune Responses (8 papers). Gan Zhao is often cited by papers focused on Immune Response and Inflammation (20 papers), Reproductive System and Pregnancy (11 papers) and Immunotherapy and Immune Responses (8 papers). Gan Zhao collaborates with scholars based in China, United States and Croatia. Gan Zhao's co-authors include Kangfeng Jiang, Haichong Wu, Christian Bode, Takeshi Kinjo, Dennis M. Klinman, Folkert Steinhagen, Changwei Qiu, Ganzhen Deng, Ganzhen Deng and Shuai Guo and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Gan Zhao

42 papers receiving 2.3k citations

Hit Papers

CpG DNA as a vaccine adjuvant 2011 2026 2016 2021 2011 200 400 600

Peers

Gan Zhao
Comparison fields: 5 of 113
  • Immunology 1.1k
  • Molecular Biology 936
  • Cancer Research 348
  • Epidemiology 316
  • Agronomy and Crop Science 232
Replace Sun‐Young Chang with:
Sun‐Young Chang South Korea
Chen Tan China
Siegfried Morath Germany
Ming Yang China
María A. Hidalgo Chile
Bumseok Kim South Korea
Douglas D. Bannerman United States
Wentao Ma China
Seyed Abdolrahim Rezaee Iran
Jinfeng Miao China
Sun‐Young Chang South Korea View profile →
Citations per field, relative to Gan Zhao
Gan Zhao · 1×
Citations per year, relative to Gan Zhao
Gan Zhao · 1×

Countries citing papers authored by Gan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Gan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Gan Zhao. A scholar is included among the top collaborators of Gan Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gan Zhao. Gan Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 1
4 59
5 26
6 44
7 2
8 12
9 33
10 21
11 59
12 103
13 35
14 63
15 19
16 9
17 76
18
CpG DNA as a vaccine adjuvant breakdown →
684
19 11
20 10

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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