Lingyu Jiang

32 papers receiving 4.3k citations

Lingyu Jiang's Hit Papers

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China 2020 · 3.8k citations
3.8k0+2+4Years since publication10002.0k3.0k

Peers

Lingyu Jiang
Comparison fields: 5 of 148
  • Infectious Diseases 2.4k
  • Neurology 1.2k
  • Critical Care and Intensive Care Medicine 132
  • Obstetrics and Gynecology 144
  • Applied Microbiology and Biotechnology 35
Replace Yongwen Chen with:
Yongwen Chen China
Jianhua Hu China
Stephen Richard Knight United Kingdom
Xia Liu China
Aruna Subramanian United States
Jesús F. Bermejo-Martín Spain
Ge Qin China
Jonathan Edward Millar United Kingdom
Yun Yang China
Ying Zhou China
Lingyu Jiang relative to Yongwen Chen China Yongwen Chen's profile →
Citations per field
00.5×2×3×3.9×
Yongwen Chen · 1×
Citations per year

Countries citing papers authored by Lingyu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Lingyu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China
Hit paper breakdown →
20203772
2 2013153
3 2020105
4 201550
5 200944
6 201537
7 201532
8 202225
9 201925
10 202224
11 201823
12 202022
13 201917
14 201516
15 202013
16 201512
17 202212
18 20208
19 20207
20 20167

About Lingyu Jiang

Lingyu Jiang is a scholar working on Endocrinology, Parasitology, Genetics, Biomaterials and Virology, having authored 32 papers that have together received 4.5k indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (5 papers), Escherichia coli research studies (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Bacillus and Francisella bacterial research (3 papers), Nanoplatforms for cancer theranostics (2 papers), Rabies epidemiology and control (2 papers) and Characterization and Applications of Magnetic Nanoparticles (2 papers). The work is most often cited by research in Infectious Diseases (2.4k citations), Neurology (1.2k citations), Critical Care and Intensive Care Medicine (132 citations), Obstetrics and Gynecology (144 citations) and Applied Microbiology and Biotechnology (35 citations). Lingyu Jiang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include KUN YU YANG, Qiurong Ruan, Jianxin Song, Xiangliang Yang, Huibi Xu, Yanbing Zhao, Qing Zhou, Wenzhen Zhu, Yanhong Zhu and Xiao Li. Their work appears in journals such as Frontiers in Immunology, Infection and Immunity, Journal of Medical Microbiology, Immunology and Cell Biology and The Thoracic and Cardiovascular Surgeon.

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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