Song Lin

1.1k total citations · 1 hit paper
26 papers, 936 citations indexed

About

Song Lin is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biotechnology. According to data from OpenAlex, Song Lin has authored 26 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Biotechnology. Recurrent topics in Song Lin's work include Protein Hydrolysis and Bioactive Peptides (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Biochemical effects in animals (3 papers). Song Lin is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Biochemical effects in animals (3 papers). Song Lin collaborates with scholars based in China, United States and Switzerland. Song Lin's co-authors include Jonathan Chin, Francis J. Dumont, Nancy I. Hutchinson, Michael J. Tocci, John J. Siekierka, Pui–Yan Kwok, Jiyang Li, Ruren Xu, Jihong Yu and Raj Pal Sharma and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Medicinal Chemistry.

In The Last Decade

Song Lin

26 papers receiving 907 citations

Hit Papers

The immunosuppressant FK506 selectively inhibits expressi... 1989 2026 2001 2013 1989 100 200 300 400 500

Peers

Song Lin
Comparison fields: 5 of 118
  • Molecular Biology 467
  • Immunology 200
  • Oncology 135
  • Inorganic Chemistry 84
  • Organic Chemistry 77
Replace Atsuko Ogawa with:
Atsuko Ogawa Japan
Martin Hibbs United Kingdom
Katrin Splith Germany
Kazuhiko Matsumoto Japan
Song Feng China
Raquel Bartolomé-Casado Spain
Anton Stuetz Austria
Maria Rosaria Ruocco Italy
Sara La Manna Italy
Federico Spreafico Italy
Atsuko Ogawa Japan View profile →
Citations per field, relative to Song Lin
Song Lin · 1×
Citations per year, relative to Song Lin
Song Lin · 1×

Countries citing papers authored by Song Lin

Since Specialization
Citations

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

Fields of papers citing papers by Song Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Song Lin. A scholar is included among the top collaborators of Song Lin 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 Lin. Song Lin 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 4
2 3
3 1
4 59
5 1
6 8
7 2
8 2
9 32
10 1
11
Application of mutation particle swarm optimization based BP neural network in the intrusion detection system
1
12 19
13 30
14 17
15 15
16 6
17 26
18
On the Phenomenon of Origination and Weathering of Speleothem in Baiyundong in Lincheng County of Hebei Province
1
19
Progress and Trend of Karst Geomorphology Study
4
20
The immunosuppressant FK506 selectively inhibits expression of early T cell activation genes. breakdown →
575

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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