Hua Guo

3.1k citations
91 papers · 2.3k indexed · 1 hit paper · h-index 22
Topics
Per- and polyfluoroalkyl substances research (17 papers)Toxic Organic Pollutants Impact (11 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers)

In The Last Decade

Hua Guo

86 papers receiving 2.2k citations

Hit Papers

Immune activation set point during early HIV infection pr...20042026201120182004200400600

Peers

Hua Guo
Comparison fields: 5 of 128
  • Environmental Chemistry 594
  • Virology 532
  • Molecular Biology 515
  • Immunology 484
  • Health, Toxicology and Mutagenesis 471
Replace Olga V. Naidenko with:
Olga V. Naidenko United States
Oliver Flint United States
Charles T. Lutz United States
Haruo Takeshita Japan
J. S. Patton United States
Gerald Pfister Austria
Xuejiang Guo China
James Robinson United Kingdom
James C. Ryan United States
Jaime M. Franco Spain
Hua Guo relative to Olga V. Naidenko United States Olga V. Naidenko's profile →
Citations per field
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Olga V. Naidenko · 1×
Citations per year

Countries citing papers authored by Hua Guo

Since Specialization
Citations

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

Fields of papers citing papers by Hua Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Guo. A scholar is included among the top collaborators of Hua Guo 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 Hua Guo. Hua Guo 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 2
3 1
4 7
5 0
6 5
7 13
8 13
9 3
10 8
11 22
12 14
13 32
14 39
15 21
16 12
17 10
18 4
19 7
20 11

About Hua Guo

Hua Guo is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis and Immunology, having authored 91 papers that have together received 2.3k indexed citations. Recurring topics across this work include Per- and polyfluoroalkyl substances research (17 papers), Toxic Organic Pollutants Impact (11 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). The work is most often cited by research in Virology (532 citations), Environmental Chemistry (594 citations) and Health, Toxicology and Mutagenesis (471 citations). Hua Guo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiayin Dai, Nan Sheng, Yong Guo, Christina M. Ramirez, Steven G. Deeks, Amy Narvaez, Jay A. Levy, Michael S. McGrath, James O. Kahn and Jeffrey N. Martin. Their work appears in journals such as Nucleic Acids Research, Environmental Science & Technology and Blood.

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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