Ju Shi

2.1k citations
19 papers · 1.8k · 1 hit paper · h-index 13

Impact in

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 7
    • Alzheimer's disease research and treatments 4

Ju Shi

19 papers receiving 1.8k citations

Ju Shi's Hit Papers

TREM2 Regulates Microglial Cholesterol Metabolism Upon Chronic Phagocytic Challenge 2019 · 558 citations
5580+2+4Years since publication100200300400500

Peers

Ju Shi
Comparison fields: 5 of 77
  • Neurology 769
  • Behavioral Neuroscience 70
  • Biological Psychiatry 22
  • Physiology 395
  • Pharmacology 170
Replace Vitaliy Gavrilyuk with:
Vitaliy Gavrilyuk United States
Murat Uenalan Germany
Yasundo Yamasaki Japan
Anita Remus Germany
Qingguang Jiang United States
Honghua Zheng China
Nathaniel S. Woodling United States
Sylvie Toulmond Canada
Carme Solà Spain
Maria Swanberg Sweden
Ju Shi relative to Vitaliy Gavrilyuk United States Vitaliy Gavrilyuk's profile →
Citations per field
00.5×2×4×6×8×9.1×
Vitaliy Gavrilyuk · 1×
Citations per year

Countries citing papers authored by Ju Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ju Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
TREM2 Regulates Microglial Cholesterol Metabolism Upon Chronic Phagocytic Challenge
Hit paper breakdown →
2019558
2 2020241
3 2020184
4 2014134
5 2004131
6 2010130
7 2008111
8 201495
9 201283
10 200739
11 201525
12 200720
13 200617
14 200612
15 200812
16 20138
17 20225
18 20111
19 20241

About Ju Shi

Ju Shi is a scholar working on Neurology, Physiology, Hematology, Immunology and Molecular Biology, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Receptor Mechanisms and Signaling (5 papers), Alzheimer's disease research and treatments (4 papers), Hematopoietic Stem Cell Transplantation (2 papers), Complement system in diseases (2 papers), Inflammatory mediators and NSAID effects (1 paper), Schizophrenia research and treatment (1 paper) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Neurology (769 citations), Behavioral Neuroscience (70 citations), Biological Psychiatry (22 citations), Physiology (395 citations) and Pharmacology (170 citations). Ju Shi has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Katrin I. Andreasson, Qian Wang, Nathaniel S. Woodling, Jenny U. Johansson, Thomas Jude Montine, Nancy A. Muma, RICHARD M. BREYER, Xibin Liang, Graham C. Parry and Nancy E. Stagliano. Their work appears in journals such as Blood, Neuropharmacology, Transplantation and Cellular Therapy, Journal of Pharmacology and Experimental Therapeutics and Annals of Neurology.

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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