Jiaming Wang
Impact in
- Aging top 10%
Papers in
-
- CRISPR and Genetic Engineering 7
- Natural product bioactivities and synthesis 6
- Pluripotent Stem Cells Research 5
- Bioactive Natural Diterpenoids Research 3
- Genetics 10
- Genetic and phenotypic traits in livestock 4
- Co-authors
- Yuet Wai Kan (8 shared papers)Marcus O. Muench (4 shared papers)Ashley I. Beyer (4 shared papers)Lin Ye (2 shared papers)Theodore W. Kurtz (11 shared papers)Fei Xie (5 shared papers)Judy C. Chang (2 shared papers)Yuting Tan (4 shared papers)
- Journals
- Mammalian Genome (3 papers)Proceedings of the National Academy of Sciences (3 papers)Genome Research (2 papers)AIDS (2 papers)Journal of Hypertension (2 papers)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Jiaming Wang
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Business and International Management 78
- Aging 32
- Genetics 132
- Molecular Biology 863
- Endocrinology, Diabetes and Metabolism 181
Countries citing papers authored by Jiaming Wang
This map shows the geographic impact of Jiaming Wang'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 Jiaming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaming Wang more than expected).
Fields of papers citing papers by Jiaming Wang
This network shows the impact of papers produced by Jiaming Wang. 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 Jiaming Wang. The network helps show where Jiaming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaming Wang, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 333 | |
| 2 | 2016 | 160 | |
| 3 | 1994 | 121 | |
| 4 | 1999 | 103 | |
| 5 | 2003 | 103 | |
| 6 | 2016 | 95 | |
| 7 | 2007 | 68 | |
| 8 | 2013 | 59 | |
| 9 | 2018 | 57 | |
| 10 | 2011 | 52 | |
| 11 | 1995 | 38 | |
| 12 | 1995 | 28 | |
| 13 | 2019 | 27 | |
| 14 | 2019 | 20 | |
| 15 | 2020 | 17 | |
| 16 | 2009 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 1997 | 13 | |
| 20 | 2015 | 13 |
About Jiaming Wang
Jiaming Wang is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Physiology and Cancer Research, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Natural product bioactivities and synthesis (6 papers), Pluripotent Stem Cells Research (5 papers), Genetic and phenotypic traits in livestock (4 papers), Bioactive Natural Diterpenoids Research (3 papers), Phytochemistry and Biological Activities (3 papers), Adipose Tissue and Metabolism (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Business and International Management (78 citations), Aging (32 citations), Genetics (132 citations), Molecular Biology (863 citations) and Endocrinology, Diabetes and Metabolism (181 citations). Jiaming Wang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Yuet Wai Kan, Marcus O. Muench, Ashley I. Beyer, Lin Ye, Theodore W. Kurtz, Fei Xie, Judy C. Chang, Yuting Tan, Michal Pravenec and Warren Lockette. Their work appears in journals such as Mammalian Genome, Proceedings of the National Academy of Sciences, Genome Research, AIDS and Journal of Hypertension.
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.