Song Jin

434 total citations
39 papers, 251 citations indexed

About

Song Jin is a scholar working on Epidemiology, Neurology and Complementary and alternative medicine. According to data from OpenAlex, Song Jin has authored 39 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 8 papers in Neurology and 7 papers in Complementary and alternative medicine. Recurrent topics in Song Jin's work include Acute Ischemic Stroke Management (7 papers), Transcranial Magnetic Stimulation Studies (5 papers) and Reproductive Biology and Fertility (4 papers). Song Jin is often cited by papers focused on Acute Ischemic Stroke Management (7 papers), Transcranial Magnetic Stimulation Studies (5 papers) and Reproductive Biology and Fertility (4 papers). Song Jin collaborates with scholars based in China, Malaysia and United Kingdom. Song Jin's co-authors include Shan Luo, Shangwei Li, Hui Zheng, Shan Luo, Yan Gong, Ping Fan, Huili Zhu, Wei Huang, Yi Quan and Ju Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Medicine.

In The Last Decade

Song Jin

34 papers receiving 248 citations

Peers

Song Jin
Comparison fields: 5 of 64
  • Reproductive Medicine 63
  • Public Health, Environmental and Occupational Health 58
  • Neurology 37
  • Epidemiology 36
  • Pulmonary and Respiratory Medicine 35
Replace Hyun Cheol Jeong with:
Hyun Cheol Jeong South Korea
Dongyu Wang United States
Aristidis Veves United States
Carol Dsouza Kuwait
George Angelidis Greece
Zhengyi Chen United States
Tomohiro Saito Japan
Eva Dirnberger Austria
Hyun Cheol Jeong South Korea View profile →
Citations per field, relative to Song Jin
Song Jin · 1×
Citations per year, relative to Song Jin
Song Jin · 1×

Countries citing papers authored by Song Jin

Since Specialization
Citations

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

Fields of papers citing papers by Song Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Song Jin. A scholar is included among the top collaborators of Song Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Song Jin. Song Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 3
4 0
5 3
6 3
7 2
8 1
9 18
10 12
11 10
12 13
13 6
14 39
15 18
16 16
17 7
18 23
19 11
20 3

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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