James S. Song

19.3k total citations · 4 hit papers
14 papers, 6.2k citations indexed

About

James S. Song is a scholar working on Molecular Biology, Immunology and Spectroscopy. According to data from OpenAlex, James S. Song has authored 14 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Spectroscopy. Recurrent topics in James S. Song's work include Genomics and Phylogenetic Studies (4 papers), Mast cells and histamine (4 papers) and Advanced Proteomics Techniques and Applications (2 papers). James S. Song is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Mast cells and histamine (4 papers) and Advanced Proteomics Techniques and Applications (2 papers). James S. Song collaborates with scholars based in United States, France and Malaysia. James S. Song's co-authors include Aron Marchler‐Bauer, Roxanne A. Yamashita, Dachuan Zhang, Christopher J. Lanczycki, Shennan Lu, Gabriele H. Marchler, Farideh Chitsaz, Myra K. Derbyshire, Narmada Thanki and Noreen R. Gonzales and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

James S. Song

14 papers receiving 6.1k citations

Hit Papers

CDD: NCBI's conserved domain database 2012 2026 2016 2021 2014 2019 2012 2022 500 1000 1.5k 2.0k 2.5k

Peers

James S. Song
Comparison fields: 5 of 136
  • Molecular Biology 3.7k
  • Plant Science 2.1k
  • Ecology 816
  • Genetics 566
  • Immunology 522
Replace Shennan Lu with:
Shennan Lu United States
Noreen R. Gonzales United States
Myra K. Derbyshire United States
Renata C. Geer United States
Roxanne A. Yamashita United States
Farideh Chitsaz United States
Christopher J. Lanczycki United States
Gabriele H. Marchler United States
Natalie D. Fedorova United States
David I. Hurwitz United States
Shennan Lu United States View profile →
Citations per field, relative to James S. Song
James S. Song · 1×
Citations per year, relative to James S. Song
James S. Song · 1×

Countries citing papers authored by James S. Song

Since Specialization
Citations

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

Fields of papers citing papers by James S. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James S. Song

This figure shows the co-authorship network connecting the top 25 collaborators of James S. Song. A scholar is included among the top collaborators of James S. 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 James S. Song. James S. Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1
The conserved domain database in 2023 breakdown →
531
2
CDD/SPARCLE: the conserved domain database in 2020 breakdown →
1951
3 1
4
CDD: NCBI's conserved domain database breakdown →
2624
5
CDD: conserved domains and protein three-dimensional structure breakdown →
714
6 3
7 2
8 24
9 55
10 68
11 59
12 14
13 94
14 45

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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