Xia Feng

127 papers receiving 1.9k citations

Peers

Xia Feng
Comparison fields: 5 of 122
  • Developmental Neuroscience 249
  • Critical Care and Intensive Care Medicine 164
  • Anesthesiology and Pain Medicine 144
  • Biological Psychiatry 42
  • Neurology 120
Replace Michael D. O’Connor with:
Michael D. O’Connor Australia
Michael R. Johnson United Kingdom
Norman A. Gregson United Kingdom
Katsuaki Tanaka Japan
P. Mayer Germany
Yanchao Li China
Xing Li China
Michel Morre France
C. Spencer Yost United States
Carol Moore United States
Xia Feng relative to Michael D. O’Connor Australia Michael D. O’Connor's profile →
Citations per field
00.5×10.5×
Michael D. O’Connor · 1×
Citations per year

Countries citing papers authored by Xia Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xia Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006136
2 201575
3 200756
4 201247
5 202146
6 201645
7 200643
8 201842
9 201041
10 201640
11 202039
12 201435
13 201934
14 201234
15 201633
16 202133
17 201930
18 201830
19 201630
20 201530

About Xia Feng

Xia Feng is a scholar working on Molecular Biology, Surgery, Developmental Neuroscience, Cellular and Molecular Neuroscience and Critical Care and Intensive Care Medicine, having authored 138 papers that have together received 1.9k indexed citations. Recurring topics across this work include Anesthesia and Neurotoxicity Research (16 papers), HIV Research and Treatment (10 papers), Anesthesia and Pain Management (10 papers), Intensive Care Unit Cognitive Disorders (9 papers), Anesthesia and Sedative Agents (8 papers), Retinal Development and Disorders (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Animal Disease Management and Epidemiology (6 papers). The work is most often cited by research in Developmental Neuroscience (249 citations), Critical Care and Intensive Care Medicine (164 citations), Anesthesiology and Pain Medicine (144 citations), Biological Psychiatry (42 citations) and Neurology (120 citations). Xia Feng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xue Zhou, Zhibin Zhou, Christian Berger, Stefan Schwab, Dihan Lu, Bin Zhou, Tatsuya Sawamura, Qian Ren, Zhongchao Han and Zhong Chen. Their work appears in journals such as Scientific Reports, PLoS ONE, British Journal of Anaesthesia, Journal of Pain Research and BMC Anesthesiology.

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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