Tianjiao Chu
- Molecular Biology top 5%
- Obstetrics and Gynecology top 0.5%
- Cancer Research top 2%
- Immunology top 5%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Yoel SadovskyJean‐François MouilletKyle E. OrwigAdrián E. MorelliRogier B. DonkerCarl A. HubelW. Tony ParksDonna B. Stolz
- Topics
- Pregnancy and preeclampsia studies (24 papers)MicroRNA in disease regulation (19 papers)Prenatal Screening and Diagnostics (15 papers)
- Journals
- Proceedings of the National Academy of SciencesAdvanced MaterialsJournal of Clinical Investigation
- Partner nations
- United StatesChinaCanada
In The Last Decade
Tianjiao Chu
72 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.4k
- Obstetrics and Gynecology 1.2k
- Cancer Research 826
- Immunology 689
- Public Health, Environmental and Occupational Health 599
Countries citing papers authored by Tianjiao Chu
This map shows the geographic impact of Tianjiao Chu'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 Tianjiao Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianjiao Chu more than expected).
Fields of papers citing papers by Tianjiao Chu
This network shows the impact of papers produced by Tianjiao Chu. 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 Tianjiao Chu. The network helps show where Tianjiao Chu may publish in the future.
Co-authorship network of co-authors of Tianjiao Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Tianjiao Chu. A scholar is included among the top collaborators of Tianjiao Chu 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 Tianjiao Chu. Tianjiao Chu 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 41 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 137 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 31 | |
| 14 | 8 | |
| 15 | 47 | |
| 16 | 24 | |
| 17 | 40 | |
| 18 | 52 | |
| 19 | 35 | |
| 20 | Search for Additive Nonlinear Time Series Causal Models | 38 |
About Tianjiao Chu
Tianjiao Chu is a scholar working on Obstetrics and Gynecology, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 74 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (24 papers), MicroRNA in disease regulation (19 papers) and Prenatal Screening and Diagnostics (15 papers). The work is most often cited by research in Obstetrics and Gynecology (1.2k citations), Reproductive Medicine (528 citations) and Cancer Research (826 citations). Tianjiao Chu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yoel Sadovsky, Jean‐François Mouillet, Kyle E. Orwig, Adrián E. Morelli, Rogier B. Donker, Carl A. Hubel, W. Tony Parks, Donna B. Stolz, Yingshi Ouyang and Meena Sukhwani. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Clinical Investigation.
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.