Jie Che

753 citations
17 papers · 258 · h-index 10

Impact in

Papers in

Jie Che

16 papers receiving 255 citations

Peers

Jie Che
Comparison fields: 5 of 53
  • Molecular Medicine 73
  • Infectious Diseases 128
  • Endocrinology 30
  • Clinical Biochemistry 20
  • Applied Microbiology and Biotechnology 5
Replace Eleni Ntokou with:
Eleni Ntokou Greece
Rajagopalan Saranathan United States
François Gravey France
Amanda J. Hall United Kingdom
Sufei Tian China
Thawatchai Kitti Thailand
Audun Sivertsen Norway
Natalia Kapel United Kingdom
Kanate Thitiananpakorn Japan
Prajuab Chaimanee Thailand
Jie Che relative to Eleni Ntokou Greece Eleni Ntokou's profile →
Citations per field
00.5×2.7×
Eleni Ntokou · 1×
Citations per year

Countries citing papers authored by Jie Che

Since Specialization
Citations

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

Fields of papers citing papers by Jie Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201435
2 201632
3 201428
4 201725
5 201323
6 201723
7 202022
8 201920
9 202411
10 201711
11 20219
12
[Study on virulence factors of Candida tropicalis isolated from clinical samples].
20158
13 20195
14
[Study on genotype and virulence of Cryptococcus neoformans and Cryptococcus gattii clinical isolates in Guigang, Guangxi Zhuang Autonomous Region].
20153
15 20232
16 20231
17 20230

About Jie Che

Jie Che is a scholar working on Infectious Diseases, Molecular Medicine, Molecular Biology, Epidemiology and Endocrinology, having authored 17 papers that have together received 258 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Antifungal resistance and susceptibility (5 papers), Vibrio bacteria research studies (2 papers), Fungal Infections and Studies (2 papers), Imbalanced Data Classification Techniques (1 paper), Vehicle License Plate Recognition (1 paper), Pneumonia and Respiratory Infections (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Molecular Medicine (73 citations), Infectious Diseases (128 citations), Endocrinology (30 citations), Clinical Biochemistry (20 citations) and Applied Microbiology and Biotechnology (5 citations). Jie Che has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Yuan Wu, Jinxing Lu, Wenge Li, Shuanbao Yu, Haijian Zhou, Wen Ge Li, Lin Gong, Xiaofei Zhao, Lanzheng Liu and Min Yuan. Their work appears in journals such as Frontiers in Microbiology, Antibiotics, BMC Microbiology, Frontiers in Cellular and Infection Microbiology and Microbiology Spectrum.

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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