Yankai Jia
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 3
- Aging top 10%
-
- Epigenetics and DNA Methylation 6
- Fungal and yeast genetics research 5
- RNA modifications and cancer 4
- RNA Research and Splicing 4
- Mitochondrial Function and Pathology 2
- Biochemistry top 10%
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders 3
- Genetic Associations and Epidemiology 2
- Co-authors
- Ronald A. ButowBeverly A. RothermelJanet M. ThorntonThomas M. HydeDaniel R. WeinbergerJoel E. KleinmanAndrew E. JaffeRan Tao
- Cited by
- PharmacologyAgingMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Medicine (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Yankai Jia
23 papers receiving 987 citations
Peers
Comparison fields: 5 of 105
- Pharmacology 140
- Aging 28
- Molecular Biology 667
- Biochemistry 57
- Genetics 215
Countries citing papers authored by Yankai Jia
This map shows the geographic impact of Yankai Jia'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 Yankai Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yankai Jia more than expected).
Fields of papers citing papers by Yankai Jia
This network shows the impact of papers produced by Yankai Jia. 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 Yankai Jia. The network helps show where Yankai Jia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yankai Jia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2021 | 11 | |
| 3 | 2019 | 49 | |
| 4 | 2019 | 27 | |
| 5 | 2018 | 15 | |
| 6 | 2017 | 59 | |
| 7 | 2017 | 14 | |
| 8 | 2016 | 14 | |
| 9 | 2016 | 108 | |
| 10 | 2014 | 98 | |
| 11 | Recombinant human endostatin, Endostar, enhances the effects of chemo-radiotherapy in a mouse cervical cancer xenograft model. | 2011 | 15 |
| 12 | 2010 | 15 | |
| 13 | 2009 | 128 | |
| 14 | 2007 | 51 | |
| 15 | 2006 | 10 | |
| 16 | 1999 | 105 | |
| 17 | 1997 | 182 | |
| 18 | 1997 | 40 | |
| 19 | 1995 | 2 | |
| 20 | 1991 | 8 |
About Yankai Jia
Yankai Jia is a scholar working on Pharmacology, Molecular Biology and Biochemistry, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Fungal and yeast genetics research (5 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Genetic Associations and Epidemiology (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Pharmacology (140 citations), Aging (28 citations) and Molecular Biology (667 citations). Yankai Jia has collaborated with scholars based in United States, China and France. Frequent co-authors include Ronald A. Butow, Beverly A. Rothermel, Janet M. Thornton, Thomas M. Hyde, Daniel R. Weinberger, Joel E. Kleinman, Andrew E. Jaffe, Ran Tao, Anna Chełstowska and Zhengchang Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Neuroscience.
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.