Longxiang Su

7.1k citations
173 papers · 2.8k indexed · h-index 30

Impact in

Papers in

Longxiang Su

159 papers receiving 2.8k citations

Peers

Longxiang Su
Comparison fields: 5 of 156
  • Critical Care and Intensive Care Medicine 454
  • Epidemiology 1.1k
  • Health Informatics 31
  • Clinical Biochemistry 156
  • Immunology 441
Replace David Brealey with:
David Brealey United Kingdom
Timothy E. Sweeney United States
Julie C. Fitzgerald United States
Florian Mayr United States
Michael A. Puskarich United States
Elliott D. Crouser United States
Shy-Shin Chang Taiwan
Tongwen Sun China
Lieuwe D. J. Bos Netherlands
Christopher Seymour United States
Longxiang Su relative to David Brealey United Kingdom David Brealey's profile →
Citations per field
00.5×1.5×
David Brealey · 1×
Citations per year

Countries citing papers authored by Longxiang Su

Since Specialization
Citations

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

Fields of papers citing papers by Longxiang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 20238
4 20230
5 20234
6 20235
7 20232
8 20205
9 202085
10 202029
11 201912
12 20181
13 20184
14 201729
15 2015106
16 20144
17 20141
18 20130
19 201325
20 201219

About Longxiang Su

Longxiang Su is a scholar working on Critical Care and Intensive Care Medicine, Emergency Medicine, Epidemiology, Nephrology and Health Informatics, having authored 173 papers that have together received 2.8k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (59 papers), Respiratory Support and Mechanisms (27 papers), Hemodynamic Monitoring and Therapy (24 papers), Cardiac Arrest and Resuscitation (16 papers), Intensive Care Unit Cognitive Disorders (12 papers), Genomics and Phylogenetic Studies (11 papers), Inflammation biomarkers and pathways (11 papers) and Spaceflight effects on biology (9 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (454 citations), Epidemiology (1.1k citations), Health Informatics (31 citations), Clinical Biochemistry (156 citations) and Immunology (441 citations). Longxiang Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lixin Xie, Peng Yan, Yun Long, Kun Xiao, Dawei Liu, Lixin Xie, Yanhong Jia, Xiaoting Wang, Dan Feng and Hongmin Zhang. Their work appears in journals such as Frontiers in Medicine, Journal of Bacteriology, Critical Care, PLoS ONE and Annals of Translational Medicine.

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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