Jide Jin

29 papers receiving 403 citations

Peers

Jide Jin
Comparison fields: 5 of 70
  • Genetics 94
  • Internal Medicine 20
  • Clinical Biochemistry 34
  • Hepatology 32
  • Urology 22
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A.F. Drew Australia
Markus Dettke Austria
Monica Battiston Italy
Norma A. Hernández-Rodríguez Mexico
Sachie Nakao Japan
Roxana Wasnick United States
Masato Moriyama Japan
Takuma Tsuzuki Wada Japan
Benoît Usunier France
Pouya N. Dayani United States
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Citations per field
00.5×10.8×
A.F. Drew · 1×
Citations per year

Countries citing papers authored by Jide Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jide Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200877
2 201441
3 202035
4 200835
5 201627
6
Aberrant gene promoter methylation in sputum from individuals exposed to smoky coal emissions.
200823
7 202221
8 202119
9
K-ras mutations in lung tumors from NNK-treated mice with lipopolysaccharide-elicited lung inflammation.
201118
10 201815
11 200812
12 202210
13 200810
14 20178
15 20078
16 20228
17 20207
18 20157
19 20225
20 20253

About Jide Jin

Jide Jin is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Internal Medicine, Hematology and Surgery, having authored 31 papers that have together received 408 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Mesenchymal stem cell research (5 papers), Atrial Fibrillation Management and Outcomes (4 papers), Heparin-Induced Thrombocytopenia and Thrombosis (3 papers), Acute Myocardial Infarction Research (3 papers), Liver physiology and pathology (2 papers) and Advanced Glycation End Products research (2 papers). The work is most often cited by research in Genetics (94 citations), Internal Medicine (20 citations), Clinical Biochemistry (34 citations), Hepatology (32 citations) and Urology (22 citations). Jide Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hua Wang, Chu-Tse Wu, Zi‐Kuan Guo, Jinsong Wang, Phouthone Keohavong, Lisheng Wang, Erhong Meng, Heng‐Xiang Wang, Jinling Yin and Zhiqiang Ge. Their work appears in journals such as Stem Cells and Development, Pharmacology Research & Perspectives, Drug Design Development and Therapy, Biochemical and Biophysical Research Communications and Advanced Science.

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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