Wating Su

2.4k citations
20 papers · 1.7k · 1 hit paper · h-index 13

Impact in

Papers in

Wating Su

20 papers receiving 1.7k citations

Wating Su's Hit Papers

Clinical characteristics and outcomes of patients undergoing surgeries during the incubation period of COVID-19 infection 2020 · 927 citations
9270+2+4Years since publication250500750

Peers

Wating Su
Comparison fields: 5 of 100
  • Oncology 595
  • Infectious Diseases 249
  • Emergency Medicine 100
  • Nephrology 74
  • Critical Care and Intensive Care Medicine 47
Replace Morten Schou with:
Morten Schou Denmark
Cheng Wan China
Yuhang Ai China
Youssef Bennis France
Tarek Kashour Saudi Arabia
Sireesha Reddy United States
Ken Sakai Japan
Fabio Perrotta Italy
Cesare de Gregorio Italy
Francesco Barillà Italy
Wating Su relative to Morten Schou Denmark Morten Schou's profile →
Citations per field
00.5×2.9×
Morten Schou · 1×
Citations per year

Countries citing papers authored by Wating Su

Since Specialization
Citations

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

Fields of papers citing papers by Wating Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Clinical characteristics and outcomes of patients undergoing surgeries during the incubation period of COVID-19 infection
Hit paper breakdown →
2020927
2 2017313
3 201573
4 201954
5 201351
6 201649
7 201547
8 201826
9 201824
10 201820
11 202019
12 202317
13 201313
14 202311
15 202111
16 202010
17 20244
18 20254
19 20253
20 20161

About Wating Su

Wating Su is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Epidemiology, Cell Biology and Physiology, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (8 papers), Autophagy in Disease and Therapy (4 papers), Mitochondrial Function and Pathology (3 papers), Cardiovascular Function and Risk Factors (3 papers), Caveolin-1 and cellular processes (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Oncology (595 citations), Infectious Diseases (249 citations), Emergency Medicine (100 citations), Nephrology (74 citations) and Critical Care and Intensive Care Medicine (47 citations). Wating Su has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Shaoqing Lei, Zhengyuan Xia, Liangqing Zhang, Danyong Liu, Yifan Jia, Jingli Chen, Chang Chen, Fang Jiang, Zhongyuan Xia and Qingtao Meng. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Diabetes Obesity and Metabolism, Clinical Science, Cardiovascular Diabetology and PLoS ONE.

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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