Yan Kang

4.1k citations
109 papers · 2.1k · 1 hit paper · h-index 26

Impact in

Papers in

Yan Kang

106 papers receiving 2.1k citations

Yan Kang's Hit Papers

The Epidemiology of Sepsis in Chinese ICUs: A National Cross-Sectional Survey 2019 · 329 citations
3290+2+4Years since publication100200300

Peers

Yan Kang
Comparison fields: 5 of 139
  • Critical Care and Intensive Care Medicine 338
  • Anesthesiology and Pain Medicine 93
  • Infectious Diseases 258
  • Epidemiology 445
  • Applied Microbiology and Biotechnology 23
Replace Eduardo Tamayo with:
Eduardo Tamayo Spain
Christoph Lichtenstern Germany
Axel Nierhaus Germany
Luciano César Pontes Azevedo Brazil
Gary T. Kinasewitz United States
Ornella Piazza Italy
R L Menlove United States
John F. Cade Australia
Gideon Paret Israel
Kazuma Yamakawa Japan
Yan Kang relative to Eduardo Tamayo Spain Eduardo Tamayo's profile →
Citations per field
00.5×1.5×2.2×
Eduardo Tamayo · 1×
Citations per year

Countries citing papers authored by Yan Kang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Epidemiology of Sepsis in Chinese ICUs: A National Cross-Sectional Survey
Hit paper breakdown →
2019329
2 2020177
3 202094
4 202166
5 202164
6 201760
7 201851
8 201650
9 201946
10 202043
11 202141
12 201440
13 201636
14 201134
15 202334
16 201933
17 201833
18 201131
19 201030
20 201729

About Yan Kang

Yan Kang is a scholar working on Critical Care and Intensive Care Medicine, Epidemiology, Nutrition and Dietetics, Infectious Diseases and Surgery, having authored 109 papers that have together received 2.1k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (20 papers), Nosocomial Infections in ICU (8 papers), Clinical Nutrition and Gastroenterology (8 papers), Intensive Care Unit Cognitive Disorders (8 papers), Hemodynamic Monitoring and Therapy (7 papers), Pancreatitis Pathology and Treatment (6 papers), Ultrasound in Clinical Applications (5 papers) and Respiratory Support and Mechanisms (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (338 citations), Anesthesiology and Pain Medicine (93 citations), Infectious Diseases (258 citations), Epidemiology (445 citations) and Applied Microbiology and Biotechnology (23 citations). Yan Kang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xuelian Liao, Bo Wang, Aijia Ma, H. QIU, Bingyu Qin, Wanhong Yin, Yi Yang, Kaijiang Yu, Jianfeng Xie and Yuqin Fan. Their work appears in journals such as Critical Care, BioMed Research International, Critical Care Medicine, BMC Infectious Diseases and Shock.

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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