Si Jin

162 papers receiving 5.1k citations

Si Jin's Hit Papers

Combination model of neutrophil to high-density lipoprotein ratio and system inflammation response index is more valuable for predicting peripheral arterial disease in type 2 diabetic patients: A cross-sectional study 2023 · 76 citations
760+3+7Years since publication100200300400

Peers

Si Jin
Comparison fields: 5 of 183
  • Physiology 190
  • Parasitology 210
  • Molecular Biology 2.2k
  • Geochemistry and Petrology 177
  • Pharmacology 258
Replace Irena Baranowska‐Bosiacka with:
Irena Baranowska‐Bosiacka Poland
Izabela Gutowska Poland
Wei Tang China
Ning Ma China
Shi Chen China
Balaram Ghosh India
Khalid Hussain United Kingdom
Jiyoung Kim South Korea
Hui Li China
Won–Ho Kim South Korea
Si Jin relative to Irena Baranowska‐Bosiacka Poland Irena Baranowska‐Bosiacka's profile →
Citations per field
00.5×6.8×
Irena Baranowska‐Bosiacka · 1×
Citations per year

Countries citing papers authored by Si Jin

Since Specialization
Citations

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

Fields of papers citing papers by Si Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fabrication techniques for microfluidic paper-based analytical devices and their applications for biological testing: A review
Hit paper breakdown →
2015442
2 2005209
3 2015199
4 2016195
5 2005191
6 2005168
7 2014159
8 2018109
9 2011102
10 200798
11 201586
12 199782
13 201479
14 201579
15
Combination model of neutrophil to high-density lipoprotein ratio and system inflammation response index is more valuable for predicting peripheral arterial disease in type 2 diabetic patients: A cross-sectional study
Hit paper breakdown →
202376
16 200875
17 201370
18 201470
19 201867
20 200867

About Si Jin

Si Jin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Physiology and Immunology, having authored 169 papers that have together received 5.2k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (10 papers), Lipid metabolism and disorders (9 papers), Parasites and Host Interactions (8 papers), Medicinal Plants and Bioactive Compounds (8 papers), Lipid Membrane Structure and Behavior (8 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), Metabolism, Diabetes, and Cancer (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). The work is most often cited by research in Physiology (190 citations), Parasitology (210 citations), Molecular Biology (2.2k citations), Geochemistry and Petrology (177 citations) and Pharmacology (258 citations). Si Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhiyang Li, Yanyan Xia, Yongchao Liang, Volker Römheld, Pin‐Lan Li, Fang Bian, Tao Zheng, Fan Yi, Xiaoyan Yang and Shasha Xing. Their work appears in journals such as Journal of Biomedical Nanotechnology, Scientific Reports, Antioxidants and Redox Signaling, Oxidative Medicine and Cellular Longevity and BMC Cardiovascular Disorders.

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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