Xiaoju Jin

1.2k citations
33 papers · 302 · h-index 9

Impact in

Papers in

Xiaoju Jin

29 papers receiving 299 citations

Peers

Xiaoju Jin
Comparison fields: 5 of 70
  • Anesthesiology and Pain Medicine 88
  • Critical Care and Intensive Care Medicine 31
  • Rehabilitation 35
  • Developmental Neuroscience 13
  • Cancer Research 35
Replace Yu‐Chuan Tsai with:
Yu‐Chuan Tsai Taiwan
Harold M. Marsh United States
C. Pollmann Germany
Chen‐Fuh Lam Taiwan
Frederick W. Lombard United States
Masato Kitayama Japan
Ching-Tang Wu Taiwan
Iosifina Karmaniolou Greece
Erdoğan Öztürk Türkiye
Xiaoju Jin relative to Yu‐Chuan Tsai Taiwan Yu‐Chuan Tsai's profile →
Citations per field
00.5×3.9×
Yu‐Chuan Tsai · 1×
Citations per year

Countries citing papers authored by Xiaoju Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoju Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201849
2 201734
3 201525
4 201824
5 201720
6 201616
7 201716
8 201612
9 20199
10 20158
11 20208
12
Effects of angiotensin II type 1 receptor antagonist on rats with septic shock.
20158
13 20107
14 20157
15 20177
16 20126
17 20146
18 20185
19
Preoperative risk factors for prolonged postoperative ventilation following thymectomy in myasthenia gravis.
20155
20 20205

About Xiaoju Jin

Xiaoju Jin is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 33 papers that have together received 302 indexed citations. Recurring topics across this work include Airway Management and Intubation Techniques (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Anesthesia and Pain Management (4 papers), Tracheal and airway disorders (3 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Sepsis Diagnosis and Treatment (3 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (88 citations), Critical Care and Intensive Care Medicine (31 citations), Rehabilitation (35 citations), Developmental Neuroscience (13 citations) and Cancer Research (35 citations). Xiaoju Jin has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Tao Yu, Xun Zhou, Weidong Yao, Weihua Lü, Bin Wang, Meifang Zhu, Yong Q. Chen, Xiaoqian Liu, Hao Wu and Xiaoqian Liu. Their work appears in journals such as Journal of Clinical Anesthesia, Scientific Reports, Journal of Clinical Monitoring and Computing, Journal of Surgical Research and Minerva Anestesiologica.

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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