Hong Shao

751 citations
32 papers · 402 indexed · h-index 13
Topics
Glycosylation and Glycoproteins Research (3 papers)Viral Infectious Diseases and Gene Expression in Insects (3 papers)Bacterial Identification and Susceptibility Testing (3 papers)

In The Last Decade

Hong Shao

29 papers receiving 387 citations

Peers

Hong Shao
Comparison fields: 5 of 105
  • Molecular Biology 137
  • Genetics 83
  • Physiology 69
  • Radiology, Nuclear Medicine and Imaging 36
  • Cognitive Neuroscience 33
Replace K Kameda with:
K Kameda Japan
Chen Qiu China
Yapeng Liu China
Khalid Mohamed United States
Max Karner Germany
Masahito Takahashi Japan
Yumi Takahashi Japan
Carolina Osorio United States
Hong Shao relative to K Kameda Japan K Kameda's profile →
Citations per field
00.5×10×15.5×
K Kameda · 1×
Citations per year

Countries citing papers authored by Hong Shao

Since Specialization
Citations

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

Fields of papers citing papers by Hong Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Shao. A scholar is included among the top collaborators of Hong Shao 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 Hong Shao. Hong Shao 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 2
2 3
3 14
4 14
5 22
6 3
7 0
8 1
9 7
10 1
11 2
12 14
13 5
14 24
15
Critica levaluation of determination methods of the particle size of dry powder inhaler:a comparison of three impactors
1
16 17
17 21
18
Determination of Propafenone Hydrochloride Tablets and Injection by HPLC
0
19 35
20
Patterns of wet suit diving in Korean women breath-hold divers.
7

About Hong Shao

Hong Shao is a scholar working on Aging, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 32 papers that have together received 402 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Genetics (83 citations), Biological Psychiatry (7 citations) and Physiology (69 citations). Hong Shao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Bai‐Lin Wu, Yiping Shen, Steven Y. Qian, Jing X. Kang, Dong-Hyun Kang, D. W. Rennie, Stephen L. Hillis, Geoffrey Marks, Jay Harvey and David M. Lubaroff. Their work appears in journals such as PLoS ONE, Journal of Applied Physiology and International Journal of Molecular Sciences.

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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