Li Dong

1.3k citations
35 papers · 915 · h-index 12

Impact in

Papers in

Li Dong

33 papers receiving 887 citations

Peers

Li Dong
Comparison fields: 5 of 90
  • Modeling and Simulation 76
  • Epidemiology 571
  • Immunology 252
  • Nephrology 73
  • Agronomy and Crop Science 100
Replace Venu Madhav Konala with:
Venu Madhav Konala United States
David M. Tehrani United States
Fu‐Yuan Huang Taiwan
Hyeri Seok South Korea
Sik-To Lai Hong Kong
Timothy Karnauchow Canada
Jehoon Lee South Korea
Sreedhar Adapa United States
Eli Ben‐Chetrit Israel
Li Dong relative to Venu Madhav Konala United States Venu Madhav Konala's profile →
Citations per field
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Venu Madhav Konala · 1×
Citations per year

Countries citing papers authored by Li Dong

Since Specialization
Citations

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

Fields of papers citing papers by Li Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Serum cross-reactive antibody response to a novel influenza A (H1N1) virus after vaccination with seasonal influenza vaccine.
2009409
2 2004111
3 201374
4 200344
5 201641
6 200038
7 201530
8 201824
9 201824
10 202024
11 200316
12 202111
13 20079
14
Study on the Identification of Cornu Cervi Pantotrichum with DNA Barcoding
20118
15 20247
16 20245
17 20224
18 20214
19 20204
20 20014

About Li Dong

Li Dong is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Molecular Biology, Critical Care and Intensive Care Medicine and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 915 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Nosocomial Infections in ICU (4 papers), Immune Cell Function and Interaction (4 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Respiratory Support and Mechanisms (3 papers), interferon and immune responses (3 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Modeling and Simulation (76 citations), Epidemiology (571 citations), Immunology (252 citations), Nephrology (73 citations) and Agronomy and Crop Science (100 citations). Li Dong has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yoshinobu Kimura, Isamu Mori, M. Jaber Hossain, Beixing Liu, N J Cox, Weimin Zhong, Paul Gargiullo, Huanhuan Sun, Vic Veguilla and Eboneé N. Butler. Their work appears in journals such as Journal of General Virology, Scientific Reports, Vaccine, Medical Microbiology and Immunology and BMC Nephrology.

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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