Songhai Tian
Impact in
- Infectious Diseases top 5%
- Clostridium difficile and Clostridium perfringens research
- Tuberculosis Research and Epidemiology
- Endocrinology top 10%
Papers in
-
- Clostridium difficile and Clostridium perfringens research 8
- Viral gastroenteritis research and epidemiology 4
- Antimicrobial Resistance in Staphylococcus 4
-
- CRISPR and Genetic Engineering 5
- Co-authors
- Min Dong (14 shared papers)Bin Xia (4 shared papers)Jun Liu (1 shared paper)Blair R. G. Gordon (1 shared paper)Harm van Bakel (1 shared paper)Anna Sintsova (1 shared paper)William Wiley Navarre (1 shared paper)Yifei Li (1 shared paper)
- Journals
- Autophagy (2 papers)Nature Communications (2 papers)Cell Reports (2 papers)Toxins (2 papers)Biomarker Research (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Songhai Tian
23 papers receiving 783 citations
Peers
Comparison fields: 5 of 88
- Infectious Diseases 283
- Endocrinology 58
- Immunology 145
- Molecular Medicine 32
- Epidemiology 193
Countries citing papers authored by Songhai Tian
This map shows the geographic impact of Songhai Tian'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 Songhai Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songhai Tian more than expected).
Fields of papers citing papers by Songhai Tian
This network shows the impact of papers produced by Songhai Tian. 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 Songhai Tian. The network helps show where Songhai Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Songhai Tian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 173 | |
| 2 | 2019 | 73 | |
| 3 | 2018 | 65 | |
| 4 | 2010 | 63 | |
| 5 | 2011 | 58 | |
| 6 | 2021 | 51 | |
| 7 | 2019 | 48 | |
| 8 | 2022 | 42 | |
| 9 | 2009 | 31 | |
| 10 | 2020 | 28 | |
| 11 | 2021 | 22 | |
| 12 | 2022 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2022 | 19 | |
| 15 | 2010 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2019 | 14 | |
| 19 | 2021 | 6 | |
| 20 | 2024 | 3 |
About Songhai Tian
Songhai Tian is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Epidemiology and Pharmacology, having authored 25 papers that have together received 788 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (8 papers), Toxin Mechanisms and Immunotoxins (7 papers), CRISPR and Genetic Engineering (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Pharmacological Effects of Natural Compounds (3 papers), Autophagy in Disease and Therapy (3 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Infectious Diseases (283 citations), Endocrinology (58 citations), Immunology (145 citations), Molecular Medicine (32 citations) and Epidemiology (193 citations). Songhai Tian has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Min Dong, Bin Xia, Jun Liu, Blair R. G. Gordon, Harm van Bakel, Anna Sintsova, William Wiley Navarre, Yifei Li, Linru Wang and Liang Tao. Their work appears in journals such as Autophagy, Nature Communications, Cell Reports, Toxins and Biomarker Research.
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.