Se Jin Song

44.7k total citations · 3 hit papers
51 papers, 4.8k citations indexed

About

Se Jin Song is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Se Jin Song has authored 51 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 9 papers in Physiology and 9 papers in Genetics. Recurrent topics in Se Jin Song's work include Gut microbiota and health (37 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Clostridium difficile and Clostridium perfringens research (8 papers). Se Jin Song is often cited by papers focused on Gut microbiota and health (37 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Clostridium difficile and Clostridium perfringens research (8 papers). Se Jin Song collaborates with scholars based in United States, France and Belgium. Se Jin Song's co-authors include Rob Knight, Jessica L. Metcalf, Amnon Amir, José C. Clemente, Katherine R. Amato, Zhenjiang Zech Xu, Donna Berg-Lyons, J. Gregory Caporaso, Christian L. Lauber and Yoshiki Vázquez‐Baeza and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Se Jin Song

45 papers receiving 4.7k citations

Hit Papers

Cohabiting family members share microbiota with one anoth... 2013 2026 2017 2021 2013 2016 2013 250 500 750

Peers

Se Jin Song
Comparison fields: 5 of 163
  • Molecular Biology 3.4k
  • Infectious Diseases 846
  • Physiology 653
  • Ecology 571
  • Genetics 489
Replace Will Van Treuren with:
Will Van Treuren United States
Clarissa Consolandi Italy
Amnon Amir United States
Francesco Asnicar Italy
Katherine R. Amato United States
Jessica L. Metcalf United States
John F. Baines Germany
Samuel C. Forster Australia
Christel Chehoud United States
Gail Ackermann United States
Will Van Treuren United States View profile →
Citations per field, relative to Se Jin Song
Se Jin Song · 1×
Citations per year, relative to Se Jin Song
Se Jin Song · 1×

Countries citing papers authored by Se Jin Song

Since Specialization
Citations

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

Fields of papers citing papers by Se Jin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Se Jin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Se Jin Song. A scholar is included among the top collaborators of Se Jin 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 Se Jin Song. Se Jin Song 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 0
3 1
4 0
5 0
6 3
7 2
8 3
9 16
10 20
11 3
12 52
13 33
14 50
15 175
16 105
17 113
18
Partial restoration of the microbiota of cesarean-born infants via vaginal microbial transfer breakdown →
649
19 36
20
Advancing Our Understanding of the Human Microbiome Using QIIME breakdown →
441

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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