Erwei Gu

511 citations
26 papers · 366 · h-index 10

Impact in

Papers in

Erwei Gu

24 papers receiving 365 citations

Peers

Erwei Gu
Comparison fields: 5 of 73
  • Developmental Neuroscience 64
  • Critical Care and Intensive Care Medicine 41
  • Anesthesiology and Pain Medicine 34
  • Pathology and Forensic Medicine 71
  • Cellular and Molecular Neuroscience 65
Replace Baiping Lei with:
Baiping Lei Japan
W Krumholz Germany
Jin‐Hee Han South Korea
Yalan Zhou China
Yu-Wen Chang United States
Maria Muravyeva United States
Shuzhen Zhu China
Shiyun Jin China
Kazu-ichi Yoshida Japan
Erwei Gu relative to Baiping Lei Japan Baiping Lei's profile →
Citations per field
00.5×8.5×
Baiping Lei · 1×
Citations per year

Countries citing papers authored by Erwei Gu

Since Specialization
Citations

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

Fields of papers citing papers by Erwei Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201479
2 202042
3 201742
4 202036
5 201829
6 201220
7 201718
8 201416
9 201216
10 201613
11 20168
12 20237
13 20226
14 20186
15 20215
16 20185
17 20214
18 20213
19 20163
20 20203

About Erwei Gu

Erwei Gu is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine, Emergency Medicine, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine, having authored 26 papers that have together received 366 indexed citations. Recurring topics across this work include Anesthesia and Neurotoxicity Research (9 papers), Cardiac Ischemia and Reperfusion (8 papers), Cardiac Arrest and Resuscitation (7 papers), Intensive Care Unit Cognitive Disorders (5 papers), Anesthesia and Sedative Agents (5 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Developmental Neuroscience (64 citations), Critical Care and Intensive Care Medicine (41 citations), Anesthesiology and Pain Medicine (34 citations), Pathology and Forensic Medicine (71 citations) and Cellular and Molecular Neuroscience (65 citations). Erwei Gu has collaborated with scholars based in China, Taiwan and Egypt. Frequent co-authors include Xianfu Lu, Jinhui Wang, Xuesheng Liu, Jiqian Zhang, Lei Zhang, Yuanyuan Cao, Shasha Zhu, Dan Cheng, Lijian Chen and Guanghong Xu. Their work appears in journals such as BMC Anesthesiology, Theranostics, International Journal of Surgery, Acta Anaesthesiologica Scandinavica and Journal of Surgical Research.

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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