Tianyan Song

1.2k citations
17 papers · 921 indexed · h-index 12
Topics
Vibrio bacteria research studies (9 papers)Escherichia coli research studies (6 papers)Viral gastroenteritis research and epidemiology (5 papers)
Partner nations
SwedenJapanUnited States

In The Last Decade

Tianyan Song

17 papers receiving 894 citations

Peers

Tianyan Song
Comparison fields: 5 of 76
  • Endocrinology 490
  • Molecular Biology 339
  • Infectious Diseases 228
  • Food Science 178
  • Microbiology 177
Replace Barbro Lindmark with:
Barbro Lindmark Sweden
Jennifer C. Pacan Canada
Pramod Kumar Rompikuntal Sweden
Corinda Taylor New Zealand
Andrew R. Timms United Kingdom
Hirofumi Nariya Japan
Ron L. Dy New Zealand
Marian L. McKee United States
Rogier Louwen Netherlands
Choon Mee Kim South Korea
Tianyan Song relative to Barbro Lindmark Sweden Barbro Lindmark's profile →
Citations per field
00.5×1.5×2.4×
Barbro Lindmark · 1×
Citations per year

Countries citing papers authored by Tianyan Song

Since Specialization
Citations

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

Fields of papers citing papers by Tianyan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyan Song

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 49
2 23
3 24
4 27
5 138
6 17
7 174
8 31
9 117
10 9
11 1
12
Pathogenicity of Shigella in healthy carriers: a study in Vientiane, Lao People's Democratic Republic.
7
13 95
14 10
15 43
16 147
17 9

About Tianyan Song

Tianyan Song is a scholar working on Endocrinology, Aging and Molecular Medicine, having authored 17 papers that have together received 921 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (9 papers), Escherichia coli research studies (6 papers) and Viral gastroenteritis research and epidemiology (5 papers). The work is most often cited by research in Endocrinology (490 citations), Microbiology (177 citations) and Molecular Medicine (77 citations). Tianyan Song has collaborated with scholars based in Sweden, Japan and United States. Frequent co-authors include Sun Nyunt Wai, Masaaki Iwanaga, Claudia Toma, Barbro Lindmark, Noboru Nakasone, Karolis Vaitkevicius, Jun Zhu, Pramod Kumar Rompikuntal, Bernt Eric Uhlin and Elizabeth Miliwebsky. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Molecular Biology.

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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