Shaobing Li

1.6k citations
73 papers · 1.2k · h-index 19

Impact in

Papers in

Shaobing Li

66 papers receiving 1.2k citations

Peers

Shaobing Li
Comparison fields: 5 of 104
  • Orthodontics 87
  • Oral Surgery 136
  • Epidemiology 474
  • Virology 52
  • Infectious Diseases 175
Replace Bodo Hoffmeister with:
Bodo Hoffmeister Germany
L. Feller South Africa
Lena Larsson Sweden
Frédéric Velard France
D.C. Ireland United Kingdom
Peter Schawalder Switzerland
Esa K. Partio Finland
Stephan Zeiter Switzerland
Basri Johan Jeet Abdullah Malaysia
Avi‐Hai Hovav Israel
Shaobing Li relative to Bodo Hoffmeister Germany Bodo Hoffmeister's profile →
Citations per field
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Bodo Hoffmeister · 1×
Citations per year

Countries citing papers authored by Shaobing Li

Since Specialization
Citations

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

Fields of papers citing papers by Shaobing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002101
2 200482
3 200069
4 200567
5 200265
6 201562
7 201260
8 200750
9 201440
10 201535
11 201231
12 200829
13 200928
14 201025
15 201323
16 200422
17 201222
18 201819
19 201318
20 201117

About Shaobing Li

Shaobing Li is a scholar working on Biomedical Engineering, Epidemiology, Oral Surgery, Molecular Biology and Surgery, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (17 papers), Dental Implant Techniques and Outcomes (14 papers), Cytomegalovirus and herpesvirus research (11 papers), Dental materials and restorations (8 papers), Viral-associated cancers and disorders (6 papers), Orthopaedic implants and arthroplasty (6 papers), HIV Research and Treatment (5 papers) and High-Voltage Power Transmission Systems (4 papers). The work is most often cited by research in Orthodontics (87 citations), Oral Surgery (136 citations), Epidemiology (474 citations), Virology (52 citations) and Infectious Diseases (175 citations). Shaobing Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Adriana Weinberg, Adriana Weinberg, Kenneth L. Tyler, Megan Palmer, Martin R. Zamora, Tony N. Hodges, Sunwen Chou, Lei Zhou, Xiangning Liu and Gail I. Marousek. Their work appears in journals such as International Journal of Nanomedicine, Journal of Clinical Virology, Biomedical Materials, Vaccine and Journal of Materials Science Materials in Medicine.

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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