Ling-Sha Ju

28 papers receiving 641 citations

Peers

Ling-Sha Ju
Comparison fields: 5 of 110
  • Developmental Neuroscience 264
  • Critical Care and Intensive Care Medicine 228
  • Biological Psychiatry 80
  • Anesthesiology and Pain Medicine 139
  • Behavioral Neuroscience 42
Replace Changwei Wei with:
Changwei Wei China
Jamie Toombs United Kingdom
Eric L. Goldwaser United States
Kong Eric You-Ten Canada
Kristine Kellermann Germany
Valerie B. Caraiscos Canada
Michele Cavallari United States
Tetsuhiro Sakai Japan
Hanwen Gu China
Kenji Shigemi Japan
Ling-Sha Ju relative to Changwei Wei China Changwei Wei's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ling-Sha Ju

Since Specialization
Citations

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

Fields of papers citing papers by Ling-Sha Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling-Sha Ju. 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 Ling-Sha Ju. The network helps show where Ling-Sha Ju may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202074
2 201567
3 201855
4 201550
5 201648
6 201844
7 202341
8 201935
9 201732
10 202224
11 201924
12 201720
13 201519
14 202316
15 201714
16 201913
17 201811
18 202010
19 20209
20 20207

About Ling-Sha Ju

Ling-Sha Ju is a scholar working on Developmental Neuroscience, Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine, Biological Psychiatry and Behavioral Neuroscience, having authored 31 papers that have together received 652 indexed citations. Recurring topics across this work include Anesthesia and Neurotoxicity Research (21 papers), Intensive Care Unit Cognitive Disorders (19 papers), Anesthesia and Sedative Agents (13 papers), Tryptophan and brain disorders (4 papers), Stress Responses and Cortisol (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Pediatric Pain Management Techniques (2 papers). The work is most often cited by research in Developmental Neuroscience (264 citations), Critical Care and Intensive Care Medicine (228 citations), Biological Psychiatry (80 citations), Anesthesiology and Pain Medicine (139 citations) and Behavioral Neuroscience (42 citations). Ling-Sha Ju has collaborated with scholars based in China, United States and India. Frequent co-authors include Jianjun Yang, Anatoly E. Martynyuk, Timothy E. Morey, Mu‐Huo Ji, Cheng-Mao Zhou, Jianhua Tong, Jiaojiao Yang, Nikolaus Gravenstein, Min Jia and Christoph N. Seubert. Their work appears in journals such as Anesthesiology, BMC Psychiatry, Anesthesia & Analgesia, Biology and Neurobiology of Disease.

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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