Song Jin

1.2k total citations · 1 hit paper
38 papers, 1.0k citations indexed

About

Song Jin is a scholar working on Materials Chemistry, Organic Chemistry and Inorganic Chemistry. According to data from OpenAlex, Song Jin has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 14 papers in Organic Chemistry and 10 papers in Inorganic Chemistry. Recurrent topics in Song Jin's work include Organometallic Complex Synthesis and Catalysis (10 papers), Inorganic Chemistry and Materials (10 papers) and Advanced ceramic materials synthesis (7 papers). Song Jin is often cited by papers focused on Organometallic Complex Synthesis and Catalysis (10 papers), Inorganic Chemistry and Materials (10 papers) and Advanced ceramic materials synthesis (7 papers). Song Jin collaborates with scholars based in United States, China and Australia. Song Jin's co-authors include Kenneth E. Gonsalves, Chun‐Xia Zhao, Guangze Yang, Yun Liu, Francis J. DiSalvo, Letao Xu, Liang Bian, Shusheng Jia, D. Venkataraman and Chao Yang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Song Jin

37 papers receiving 1.0k citations

Hit Papers

Development of High‐Drug‐Loading Nanoparticles 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Song Jin
Comparison fields: 5 of 95
  • Materials Chemistry 381
  • Organic Chemistry 315
  • Biomaterials 297
  • Biomedical Engineering 218
  • Inorganic Chemistry 199
Replace Krystyna Albrecht with:
Krystyna Albrecht Germany
Qian Su China
Andrea I. d’Aquino United States
Ting Qi China
Gérard Calleja France
Jérôme Babin France
Yanting Gao China
Helen Willcock United Kingdom
Ruijiao Dong China
Krystyna Albrecht Germany 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 3
2 9
3 23
4 33
5 30
6 16
7 1
8 2
9 2
10 43
11 5
12 4
13 12
14 0
15 11
16 13
17 13
18 82
19 10
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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