Pengbo Liu

3.7k citations
77 papers · 2.7k indexed · 2 hit papers · h-index 23

Pengbo Liu

74 papers receiving 2.6k citations

Hit Papers

Catal...192008202620142020250500750

Peers

Pengbo Liu
Comparison fields: 5 of 147
  • Infectious Diseases 1.5k
  • Hepatology 257
  • Animal Science and Zoology 299
  • Water Science and Technology 280
  • Cardiology and Cardiovascular Medicine 449
Replace Joanne Hewitt with:
Joanne Hewitt New Zealand
Giuseppina La Rosa Italy
Daisuke Sano Japan
Saskia A. Rutjes Netherlands
Pierre Le Cann France
Michele Muscillo Italy
Xiaoyan Lu United States
Anna Carratalà Spain
Leyi Wang United States
Petros Kokkinos Greece
Pengbo Liu relative to Joanne Hewitt New Zealand Joanne Hewitt's profile →
Citations per field
00.5×1.5×
Joanne Hewitt · 1×
Citations per year

Countries citing papers authored by Pengbo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Pengbo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Pengbo Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pengbo Liu Line = papers co-authored together Pengbo Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Catalytic cracking of biomass tar for hydrogen-rich gas production: Parameter optimization using response surface methodology combined with deterministic finite automatonbreakdown →
202519
2 20241
3 20242
4 20241
5 20241
6 20232
7 20232
8 20232
9 20233
10 202319
11 202338
12 202133
13 202150
14 20204
15 201618
16 20154
17 201413
18 201329
19 2006240
20 200615

About Pengbo Liu

Pengbo Liu is a scholar working on Infectious Diseases, Endocrinology and Animal Science and Zoology, having authored 77 papers that have together received 2.7k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (20 papers), Viral Infections and Immunology Research (10 papers), Animal Virus Infections Studies (9 papers), SARS-CoV-2 detection and testing (8 papers), Child Nutrition and Water Access (7 papers), Hepatitis C virus research (6 papers), Vibrio bacteria research studies (6 papers) and Biosensors and Analytical Detection (6 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Hepatology (257 citations) and Animal Science and Zoology (299 citations). Pengbo Liu has collaborated with scholars based in United States, China and Bangladesh. Frequent co-authors include Christine L. Moe, Peter Teunis, Sara Miller, Jacques Le Pendu, Lisa C. Lindesmith, Rebecca L. Calderon, Ralph S. Baric, Lee‐Ann Jaykus, Hui‐Mien Hsiao and Noelani Laycock. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

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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