Lin Frank Song
- Molecular Biology top 10%
- Materials Chemistry
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 2%
- Spectroscopy top 10%
- Co-authors
- Kenneth M. MerzPengfei LiZhen LiArkajyoti SenguptaTai‐Sung LeeDarrin M. YorkChun ZhuYang Cao
- Topics
- Protein Structure and Dynamics (11 papers)Spectroscopy and Quantum Chemical Studies (6 papers)Computational Drug Discovery Methods (5 papers)
- Cited by
- Filtration and SeparationComputational Theory and MathematicsPhysical and Theoretical Chemistry
- Partner nations
- United StatesChinaTürkiye
In The Last Decade
Lin Frank Song
30 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 769
- Materials Chemistry 345
- Atomic and Molecular Physics, and Optics 236
- Computational Theory and Mathematics 220
- Spectroscopy 144
Countries citing papers authored by Lin Frank Song
This map shows the geographic impact of Lin Frank Song'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 Lin Frank Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Frank Song more than expected).
Fields of papers citing papers by Lin Frank Song
This network shows the impact of papers produced by Lin Frank Song. 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 Lin Frank Song. The network helps show where Lin Frank Song may publish in the future.
Co-authorship network of co-authors of Lin Frank Song
This figure shows the co-authorship network connecting the top 25 collaborators of Lin Frank Song. A scholar is included among the top collaborators of Lin Frank Song 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 Lin Frank Song. Lin Frank Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 11 | |
| 4 | 18 | |
| 5 | 155 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 114 | |
| 9 | 4 | |
| 10 | 85 | |
| 11 | 14 | |
| 12 | 10 | |
| 13 | 13 | |
| 14 | Systematic Parameterization of Monovalent Ions Employing the Nonbonded Modelbreakdown → | 348 |
| 15 | 276 | |
| 16 | 1 | |
| 17 | 27 | |
| 18 | Chemical Modification of Starch and Preparation of Starch-Based Nanocomposites | 2 |
| 19 | 50 | |
| 20 | 5 |
About Lin Frank Song
Lin Frank Song is a scholar working on Bioengineering, Filtration and Separation and Computational Theory and Mathematics, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), Spectroscopy and Quantum Chemical Studies (6 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Filtration and Separation (74 citations), Computational Theory and Mathematics (220 citations) and Physical and Theoretical Chemistry (109 citations). Lin Frank Song has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Kenneth M. Merz, Pengfei Li, Zhen Li, Arkajyoti Sengupta, Tai‐Sung Lee, Darrin M. York, Chun Zhu, Yang Cao, Taijiao Jiang and Liqing Tian. Their work appears in journals such as Journal of the American Chemical Society, Bioinformatics and The Journal of Physical Chemistry B.
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.