Tun Liu

3.4k citations
94 papers · 2.6k indexed · 1 hit paper · h-index 23

Tun Liu

86 papers receiving 2.5k citations

Hit Papers

Peginterferon Alfa-2a plus Ribavirin versus Interferon Al...6742004202620112018200400600

Peers

Tun Liu
Comparison fields: 5 of 140
  • Hepatology 805
  • Epidemiology 753
  • Infectious Diseases 363
  • Virology 82
  • Otorhinolaryngology 67
Replace Fatemeh Momen‐Heravi with:
Fatemeh Momen‐Heravi United States
Masashi Takahashi Japan
Yuji Watanabe Japan
Tomoyuki Endo Japan
Koichi Koyama Japan
Atsushi Horiuchi Japan
Masaki Hara Japan
Daisuke Kuroda Japan
Joseph J. Drabick United States
Takuya Nakamura Japan
Tun Liu relative to Fatemeh Momen‐Heravi United States Fatemeh Momen‐Heravi's profile →
Citations per field
00.5×3.4×
Fatemeh Momen‐Heravi · 1×
Citations per year

Countries citing papers authored by Tun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20242
5 20230
6 20231
7 20227
8 20216
9 20202
10
[Selection and application of ear reconstruction surgery for Chinese microtia].
20152
11 20157
12 20159
13 201232
14 20110
15 20101
16
Optimized Path Planning of Mobile Robot Based on Artificial Potential Field
20078
17 200614
18 200327
19
Investigation of Super-precision Shafting Contained by Gas and Magnetic Bearings
20021
20 199730

About Tun Liu

Tun Liu is a scholar working on Otorhinolaryngology, Surgery, Genetics, Hepatology and Developmental Biology, having authored 94 papers that have together received 2.6k indexed citations. Recurring topics across this work include Reconstructive Facial Surgery Techniques (24 papers), Reconstructive Surgery and Microvascular Techniques (13 papers), Ear Surgery and Otitis Media (10 papers), Congenital Ear and Nasal Anomalies (7 papers), Tribology and Lubrication Engineering (7 papers), Intraoperative Neuromonitoring and Anesthetic Effects (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Spinal Fractures and Fixation Techniques (5 papers). The work is most often cited by research in Hepatology (805 citations), Epidemiology (753 citations), Infectious Diseases (363 citations), Virology (82 citations) and Otorhinolaryngology (67 citations). Tun Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hao Cui, Kenneth E. Sherman, Marion G. Peters, Janet Andersen, Atul K. Bhan, Margaret James Koziel, Raymond T. Chung, Xiaoxing Zhang, Ying Zhang and Beverly Alston. Their work appears in journals such as Journal of Craniofacial Surgery, Annals of Plastic Surgery, Biochemistry, Journal of Plastic Reconstructive & Aesthetic Surgery and Protein Science.

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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