Dongkai Li

523 citations
32 papers · 334 · h-index 10

Impact in

Papers in

Dongkai Li

28 papers receiving 332 citations

Peers

Dongkai Li
Comparison fields: 5 of 54
  • Critical Care and Intensive Care Medicine 48
  • Epidemiology 86
  • Health Informatics 3
  • Geriatrics and Gerontology 7
  • Clinical Biochemistry 14
Replace C.A.G. Ittner with:
C.A.G. Ittner United States
Takashi Shimazui Japan
Pietro Arina United Kingdom
Tadanaga Shimada Japan
Abhinav Gupta India
Kelly R. Genga Canada
Friso M. de Beer Netherlands
Víctor Sagredo Spain
Hao-Wei Kou Taiwan
Shujin Guo China
Dongkai Li relative to C.A.G. Ittner United States C.A.G. Ittner's profile →
Citations per field
00.5×6.5×
C.A.G. Ittner · 1×
Citations per year

Countries citing papers authored by Dongkai Li

Since Specialization
Citations

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

Fields of papers citing papers by Dongkai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201759
2 202144
3 201235
4 202221
5 202120
6 202118
7 202017
8 201913
9 202111
10 201510
11 20229
12 20228
13 20218
14 20208
15 20208
16 20257
17 20226
18 20245
19 20214
20 20224

About Dongkai Li

Dongkai Li is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 32 papers that have together received 334 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (9 papers), Respiratory Support and Mechanisms (3 papers), Nosocomial Infections in ICU (3 papers), Intensive Care Unit Cognitive Disorders (3 papers), Pneumonia and Respiratory Infections (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Iterative Methods for Nonlinear Equations (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (48 citations), Epidemiology (86 citations), Health Informatics (3 citations), Geriatrics and Gerontology (7 citations) and Clinical Biochemistry (14 citations). Dongkai Li has collaborated with scholars based in China and United States. Frequent co-authors include Xiaoting Wang, Dawei Liu, Na Cui, Wei Cheng, Yun Long, Longxiang Su, Jiahui Zhang, Hongmin Zhang, Huizhen Jiang and Weiguo Zhu. Their work appears in journals such as Frontiers in Medicine, Frontiers in Immunology, Frontiers in Aging Neuroscience, Annals of Translational Medicine and Pulmonary Circulation.

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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