Yun Long

10.6k citations
86 papers · 1.4k indexed · h-index 19

Impact in

Papers in

Yun Long

74 papers receiving 1.4k citations

Peers

Yun Long
Comparison fields: 5 of 130
  • Applied Microbiology and Biotechnology 99
  • Molecular Medicine 170
  • Critical Care and Intensive Care Medicine 130
  • Nephrology 99
  • Rehabilitation 86
Replace Chien‐Ming Chao with:
Chien‐Ming Chao Taiwan
Pinhua Pan China
Dimitrios Panidis Greece
Baoli Cheng China
Monique Nys Belgium
Michael A. Marano United States
Eun Jung Lee South Korea
Jinbao Li China
Joilson O. Martins Brazil
U‐Syn Ha South Korea
Yun Long relative to Chien‐Ming Chao Taiwan Chien‐Ming Chao's profile →
Citations per field
00.5×
Chien‐Ming Chao · 1×
Citations per year

Countries citing papers authored by Yun Long

Since Specialization
Citations

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

Fields of papers citing papers by Yun Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20247
4 20240
5 20235
6 20238
7 20231
8 20223
9 20224
10 202029
11 20198
12 20181
13 20180
14 20184
15 201711
16 20143
17
[Effect of fermented cordyceps powder and prednisone on the Notch2/Hes-1 signaling activation in the kidney tubules of rats with acute aristolochic acid nephropathy].
20131
18 200987
19 200977
20 200673

About Yun Long

Yun Long is a scholar working on Critical Care and Intensive Care Medicine, Emergency Medicine, General Energy, Applied Microbiology and Biotechnology and Epidemiology, having authored 86 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (13 papers), Respiratory Support and Mechanisms (11 papers), Hemodynamic Monitoring and Therapy (8 papers), Intensive Care Unit Cognitive Disorders (5 papers), Cardiac Arrest and Resuscitation (5 papers), Antifungal resistance and susceptibility (4 papers), Autophagy in Disease and Therapy (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (99 citations), Molecular Medicine (170 citations), Critical Care and Intensive Care Medicine (130 citations), Nephrology (99 citations) and Rehabilitation (86 citations). Yun Long has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Juleen R. Zierath, Stephan Glund, Dawei Liu, Longxiang Su, Yingchun Xu, Pablo M. García-Rovés, Xiu-li Xie, V. Marco Ranieri, Hongzhong Liu and Dechang Chen. Their work appears in journals such as Frontiers in Medicine, Medicine, Petroleum Exploration and Development, Current Molecular Medicine and Reproductive Sciences.

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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