Jia Hu

2.6k total citations · 1 hit paper
70 papers, 1.3k citations indexed

About

Jia Hu is a scholar working on Infectious Diseases, Health and Epidemiology. According to data from OpenAlex, Jia Hu has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 15 papers in Health and 13 papers in Epidemiology. Recurrent topics in Jia Hu's work include Vaccine Coverage and Hesitancy (14 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and SARS-CoV-2 detection and testing (7 papers). Jia Hu is often cited by papers focused on Vaccine Coverage and Hesitancy (14 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and SARS-CoV-2 detection and testing (7 papers). Jia Hu collaborates with scholars based in Canada, China and United States. Jia Hu's co-authors include Joan Robinson, Jeanna Parsons Leigh, Scott C. Ratzan, Kenneth Rabin, Katarzyna Wyka, Camila A Picchio, Trenton M. White, Jeffrey V. Lazarus, Ayman El-Mohandes and Byron M. Berenger and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jia Hu

59 papers receiving 1.2k citations

Hit Papers

Revisiting COVID-19 vaccine hesitancy around the world us... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers

Jia Hu
Comparison fields: 5 of 140
  • Infectious Diseases 493
  • Health 360
  • Epidemiology 238
  • Sociology and Political Science 203
  • Modeling and Simulation 151
Replace Muhammad Junaid Tahir with:
Muhammad Junaid Tahir Pakistan
Isaac Ghinai United States
Vanessa Saliba United Kingdom
Gianmarco Troiano Italy
Hiroyuki Kunishima Japan
Itaru Nakamura Japan
Christina Atchison United Kingdom
Manas K. Akmatov Germany
Amesh A. Adalja United States
Danilo Cereda Italy
Muhammad Junaid Tahir Pakistan View profile →
Citations per field, relative to Jia Hu
Jia Hu · 1×
Citations per year, relative to Jia Hu
Jia Hu · 1×

Countries citing papers authored by Jia Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jia Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Hu. A scholar is included among the top collaborators of Jia Hu 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 Jia Hu. Jia Hu 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 1
2 0
3 0
4 2
5 3
6 5
7 0
8 9
9 5
10 41
11 6
12 3
13 7
14 1
15 1
16 38
17 40
18 15
19 10
20 6

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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