Xiaochun Ma

1.9k citations
47 papers · 1.3k indexed · 1 hit paper · h-index 18
Topics
Sepsis Diagnosis and Treatment (20 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (10 papers)Immune Response and Inflammation (10 papers)
Partner nations
ChinaTaiwanRussia

In The Last Decade

Xiaochun Ma

44 papers receiving 1.3k citations

Hit Papers

Acute respiratory failure in COVID-19: is it “typical” ARDS?20202026202220242020100200300400

Peers

Xiaochun Ma
Comparison fields: 5 of 117
  • Epidemiology 340
  • Infectious Diseases 322
  • Pulmonary and Respiratory Medicine 314
  • Neurology 304
  • Critical Care and Intensive Care Medicine 257
Replace Markus Kamler with:
Markus Kamler Germany
Alessandra Vecchié Italy
Brijesh Patel United Kingdom
Shinji Ogura Japan
Florian Uhle Germany
Ioanna Koniari Greece
Philipp Eller Austria
Peter Bentzer Sweden
Maureen Chase United States
Siegfried Lang Germany
Xiaochun Ma relative to Markus Kamler Germany Markus Kamler's profile →
Citations per field
00.5×2.6×
Markus Kamler · 1×
Citations per year

Countries citing papers authored by Xiaochun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochun Ma. A scholar is included among the top collaborators of Xiaochun Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaochun Ma. Xiaochun Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 0
3 0
4 10
5 8
6 30
7 23
8 1
9 13
10 7
11 2
12 8
13 15
14 69
15 35
16 30
17 14
18 21
19 25
20 40

About Xiaochun Ma

Xiaochun Ma is a scholar working on Critical Care and Intensive Care Medicine, Immunology and Epidemiology, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (20 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (10 papers) and Immune Response and Inflammation (10 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (257 citations), Internal Medicine (110 citations) and Neurology (304 citations). Xiaochun Ma has collaborated with scholars based in China, Taiwan and Russia. Frequent co-authors include Li Xu, Xu Li, Renyu Ding, Yina Liu, Zhidan Zhang, Ren-Xuan Guo, Dongmei Zhao, Xin Li, Zhen Zheng and Zhenggang Luan. Their work appears in journals such as Journal of Materials Science, Journal of Histochemistry & Cytochemistry and Critical Care.

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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