Libin Shi

565 citations
22 papers · 411 · h-index 11

Impact in

Papers in

Libin Shi

22 papers receiving 408 citations

Peers

Libin Shi
Comparison fields: 5 of 61
  • Infectious Diseases 172
  • Molecular Medicine 45
  • Epidemiology 159
  • Cardiology and Cardiovascular Medicine 56
  • Microbiology 2
Replace Huiling Wei with:
Huiling Wei China
Ravi Kiran Koripella United States
Melania D’Orazio Italy
Myoung Kyu Lee South Korea
Deborah Mai United States
Xiuyan Ding China
Joshua M. Thiede United States
Saloni Singla India
H. Ishikawa Japan
Akiko Sakuma Japan
Libin Shi relative to Huiling Wei China Huiling Wei's profile →
Citations per field
00.5×4.7×
Huiling Wei · 1×
Citations per year

Countries citing papers authored by Libin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Libin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200666
2 201463
3 201650
4 200849
5 201128
6 202127
7 201720
8 201920
9 200818
10 200816
11 201716
12 20228
13 20218
14 20236
15
[Effects of oxidized-low density lipoprotein on expression of urotensin II receptor GPR14 in rat aortic smooth muscle cells].
20064
16
[The clinical features and outcomes of immunoglobulin light-chain amyloidosis with heart involvement].
20074
17 20142
18 20132
19 20181
20 20141

About Libin Shi

Libin Shi is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine and Molecular Medicine, having authored 22 papers that have together received 411 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (9 papers), Tuberculosis Research and Epidemiology (8 papers), Atrial Fibrillation Management and Outcomes (4 papers), Antibiotic Resistance in Bacteria (4 papers), Cardiac Arrhythmias and Treatments (3 papers), Biochemical and Molecular Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). The work is most often cited by research in Infectious Diseases (172 citations), Molecular Medicine (45 citations), Epidemiology (159 citations), Cardiology and Cardiovascular Medicine (56 citations) and Microbiology (2 citations). Libin Shi has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Delphi Chatterjee, Michael McNeil, Peter Schuster, Kay‐Hooi Khoo, Mary Jackson, Yun Zhang, Anita G. Amin, Tanya Parish, Graham Peers and Michael Caballero. Their work appears in journals such as Scandinavian Cardiovascular Journal, Nature Communications, Tuberculosis, Algal Research and ACS Infectious Diseases.

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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