Jia-Ming Liu

2.6k citations
19 papers · 1.9k · 1 hit paper · h-index 12

Impact in

Papers in

Jia-Ming Liu

19 papers receiving 1.8k citations

Jia-Ming Liu's Hit Papers

Viral dynamics in mild and severe cases of COVID-19 2020 · 1.3k citations
1.3k0+2+4Years since publication4008001.2k

Peers

Jia-Ming Liu
Comparison fields: 5 of 125
  • Infectious Diseases 803
  • Modeling and Simulation 168
  • General Dentistry 31
  • Neurology 201
  • Molecular Medicine 64
Replace Ji‐Man Kang with:
Ji‐Man Kang South Korea
Qi Ming Wang China
Tyler S. Brown United States
Andrea Lombardi Italy
Zhifei Zhan China
Akihiko Kawana Japan
Yuxin Shi China
Jiafeng Pan United Kingdom
Mahmudul Hasan United States
Jia-Ming Liu relative to Ji‐Man Kang South Korea Ji‐Man Kang's profile →
Citations per field
00.5×5×10×16×
Ji‐Man Kang · 1×
Citations per year

Countries citing papers authored by Jia-Ming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jia-Ming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jia-Ming 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 Jia-Ming Liu Line = papers co-authored together Jia-Ming Liu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Viral dynamics in mild and severe cases of COVID-19
Hit paper breakdown →
20201270
2 2007171
3 2012113
4 200684
5 201463
6 201237
7 202122
8 201415
9 201815
10 202515
11 200714
12 202112
13 20209
14 20229
15 20103
16 20243
17 20232
18 20242
19 20211

About Jia-Ming Liu

Jia-Ming Liu is a scholar working on Hepatology, Cancer Research, Genetics, Atomic and Molecular Physics, and Optics and Infectious Diseases, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Optical Network Technologies (4 papers), Advanced Fiber Laser Technologies (4 papers), Advanced Photonic Communication Systems (3 papers), Bacterial Genetics and Biotechnology (2 papers), Photonic and Optical Devices (2 papers), Semiconductor Lasers and Optical Devices (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (803 citations), Modeling and Simulation (168 citations), General Dentistry (31 citations), Neurology (201 citations) and Molecular Medicine (64 citations). Jia-Ming Liu has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Leo Lit Man Poon, Aiping Le, Wei Zhang, La‐Gen Wan, Yang Liu, Joseph Sriyal Malik Peiris, Sheng-Kwang Hwang, Sze-Chun Chan, Bert van den Berg and Mridhu Indic. Their work appears in journals such as Journal of Cancer, Optics Express, Biochemistry, International Journal of Colorectal Disease and Journal of Lightwave Technology.

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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