Jing Cang

1.3k citations
50 papers · 1.0k · h-index 18

Impact in

Papers in

Jing Cang

46 papers receiving 1.0k citations

Peers

Jing Cang
Comparison fields: 5 of 96
  • Developmental Neuroscience 295
  • Critical Care and Intensive Care Medicine 209
  • Anesthesiology and Pain Medicine 144
  • Nephrology 39
  • Cancer Research 71
Replace Xia Shen with:
Xia Shen China
Han Huang China
George F. Rich United States
Tobias Piegeler Switzerland
He‐fan He China
Ragnar Huhn Germany
Kyo Sang Kim South Korea
Naoko Kumagai Japan
Jae Hwan Kim South Korea
Zeyong Yang China
Jing Cang relative to Xia Shen China Xia Shen's profile →
Citations per field
00.5×4.3×
Xia Shen · 1×
Citations per year

Countries citing papers authored by Jing Cang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Cang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018197
2 201299
3 201269
4 202149
5 201743
6 202341
7 201837
8 201735
9 201932
10 201828
11 202027
12 201725
13 202321
14 200521
15 201820
16 201619
17 201618
18 201617
19 201917
20 202116

About Jing Cang

Jing Cang is a scholar working on Developmental Neuroscience, Surgery, Critical Care and Intensive Care Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Anesthesia and Neurotoxicity Research (13 papers), Intensive Care Unit Cognitive Disorders (5 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Anesthesia and Sedative Agents (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Enhanced Recovery After Surgery (3 papers), Anesthesia and Pain Management (3 papers) and Cerebrospinal fluid and hydrocephalus (2 papers). The work is most often cited by research in Developmental Neuroscience (295 citations), Critical Care and Intensive Care Medicine (209 citations), Anesthesiology and Pain Medicine (144 citations), Nephrology (39 citations) and Cancer Research (71 citations). Jing Cang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhanggang Xue, Fang Fang, Ruixue Song, Zhe Luo, Min‐Jie Ju, Hongyu He, Xiaomin Ling, Duming Zhu, Ying Su and Bofei Liu. Their work appears in journals such as Life Sciences, Anesthesia & Analgesia, Annals of Translational Medicine, Neuroscience Bulletin and Clinical Epigenetics.

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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