Xuben Yu

30 papers receiving 465 citations

Peers

Xuben Yu
Comparison fields: 5 of 85
  • Biological Psychiatry 84
  • Molecular Medicine 100
  • Behavioral Neuroscience 64
  • Applied Microbiology and Biotechnology 26
  • Pharmacology 175
Replace C. Venkateshappa with:
C. Venkateshappa India
Dachelle Johnson United States
Nikhilesh Anand United States
Masaaki Hirohashi Japan
Dairong Wang China
Michela Vitale Italy
Michael Halim China
K. Schroecksnadel Austria
Hailiang Huang China
Parul Goel India
Xuben Yu relative to C. Venkateshappa India C. Venkateshappa's profile →
Citations per field
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C. Venkateshappa · 1×
Citations per year

Countries citing papers authored by Xuben Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xuben Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201887
2 201850
3 202042
4 201528
5 202027
6 202125
7 202224
8 201522
9 201920
10 202118
11 202216
12 201916
13 202215
14 201910
15 202210
16 20219
17 20229
18 20219
19 20206
20 20235

About Xuben Yu

Xuben Yu is a scholar working on Pharmacology, Infectious Diseases, Molecular Medicine, Epidemiology and Clinical Biochemistry, having authored 37 papers that have together received 468 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (15 papers), Antibiotic Resistance in Bacteria (10 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Identification and Susceptibility Testing (5 papers), Tryptophan and brain disorders (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Stress Responses and Cortisol (4 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). The work is most often cited by research in Biological Psychiatry (84 citations), Molecular Medicine (100 citations), Behavioral Neuroscience (64 citations), Applied Microbiology and Biotechnology (26 citations) and Pharmacology (175 citations). Xuben Yu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Ying Dai, Ziye Zhou, Guanyang Lin, Chunhong Zhang, Manas Chakraborty, Arunima Ghosh, Abhimanyu Thakur, Haina Zhang, Jingye Pan and Dawei Shi. Their work appears in journals such as Frontiers in Pharmacology, Psychopharmacology, British Journal of Clinical Pharmacology, Antimicrobial Agents and Chemotherapy and The International Journal of Neuropsychopharmacology.

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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