Longxiang Su

7.3k citations
174 papers · 3.0k · h-index 30

Impact in

Papers in

Longxiang Su

165 papers receiving 2.9k citations

Peers

Longxiang Su
Comparison fields: 5 of 147
  • Critical Care and Intensive Care Medicine 291
  • Epidemiology 805
  • Immunology 386
  • Health Informatics 21
  • Clinical Biochemistry 102
Replace Christopher Seymour with:
Christopher Seymour United States
Michael A. Puskarich United States
Florian Mayr United States
Lauren Epstein United States
Timothy E. Sweeney United States
Raymund Dantes United States
Lonneke A. van Vught Netherlands
Lieuwe D. J. Bos Netherlands
Grace L. Su United States
Georgios D. Kitsios United States
Longxiang Su relative to Christopher Seymour United States Christopher Seymour's profile →
Citations per field
00.5×1.5×
Christopher Seymour · 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-authors

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

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020181
2 2016181
3 2015124
4 2015110
5 2012101
6 202089
7 201878
8 201666
9 201365
10 201361
11 201561
12 201461
13 201554
14 201454
15 201253
16 201649
17 201149
18 202046
19 202144
20 201944

About Longxiang Su

Longxiang Su is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Immunology, having authored 174 papers that have together received 3.0k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (28 papers), Respiratory Support and Mechanisms (16 papers), Hemodynamic Monitoring and Therapy (11 papers), Spaceflight effects on biology (10 papers), Inflammation biomarkers and pathways (10 papers), Genomics and Phylogenetic Studies (9 papers), Cardiac Arrest and Resuscitation (8 papers) and Autophagy in Disease and Therapy (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (291 citations), Epidemiology (805 citations), Immunology (386 citations), Health Informatics (21 citations) and Clinical Biochemistry (102 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, Xiaoting Wang, Yanhong Jia, Dan Feng and Hongmin Zhang. Their work appears in journals such as Frontiers in Medicine, Journal of Bacteriology, PLoS ONE, Critical Care 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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