Zhang Bao

2.3k citations
81 papers · 1.7k indexed · h-index 24
Topics
SARS-CoV-2 and COVID-19 Research (7 papers)Muscle Physiology and Disorders (5 papers)Cancer Genomics and Diagnostics (5 papers)

In The Last Decade

Zhang Bao

79 papers receiving 1.6k citations

Peers

Zhang Bao
Comparison fields: 5 of 131
  • Molecular Biology 716
  • Immunology 282
  • Cancer Research 268
  • Oncology 199
  • Infectious Diseases 174
Replace Hong‐Duo Chen with:
Hong‐Duo Chen China
Rui M. Gil da Costa Portugal
Xing‐Hua Gao China
Lixia Zhang China
Mohammad Hossein Karimi Iran
Pedro A. Ruiz Switzerland
Tingting Geng China
Huanan Wang China
Alan Hsu Australia
Zhang Bao relative to Hong‐Duo Chen China Hong‐Duo Chen's profile →
Citations per field
00.5×1.7×
Hong‐Duo Chen · 1×
Citations per year

Countries citing papers authored by Zhang Bao

Since Specialization
Citations

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

Fields of papers citing papers by Zhang Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhang Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhang Bao. A scholar is included among the top collaborators of Zhang Bao 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 Zhang Bao. Zhang Bao 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
#WorkIndexed citations
1 1
2 34
3 26
4 10
5
Identification and expression analysis of leucine-rich repeat receptor-like kinase family reveals the roles of resistance proteins during formation of replant disease in Rehmannia glutinosa.
2
6 1
7 15
8 16
9 14
10 22
11 31
12 2
13 75
14 48
15 185
16 7
17 78
18 54
19 23
20
Complete Nucleotide Sequennce of the S Genome Segment of Hantavirus HTN261 Strain Isolated in the Northeast China
2

About Zhang Bao

Zhang Bao is a scholar working on Cancer Research, Infectious Diseases and Rehabilitation, having authored 81 papers that have together received 1.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Muscle Physiology and Disorders (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Cancer Research (268 citations), Complementary and alternative medicine (138 citations) and Immunology (282 citations). Zhang Bao has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include W.S. Fred Wong, Bernard P. Leung, Jianying Zhou, Cheng Chang, Siew Heng Wong, D.M. Kemeny, Yinan Yao, Guangdie Yang, Guohua Lu and Wupeng Liao. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and The Journal of Cell Biology.

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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