Kunjie Hua
- Physiology top 5%
- Adipose Tissue and Metabolism 11
- Biological Psychiatry top 10%
- Molecular Biology top 10%
- Muscle Physiology and Disorders 2
- Genetics top 5%
- Genetics and Physical Performance 14
- Genetic Mapping and Diversity in Plants and Animals 9
- Genetic and phenotypic traits in livestock 4
- Infectious Diseases top 5%
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- Adipokines, Inflammation, and Metabolic Diseases 3
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- Cytokine Signaling Pathways and Interactions 3
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- Sports Performance and Training 2
- Co-authors
- Daniel PompScott A. KellyDerrick L. NehrenbergAndrew K. BensonDaniel A. PetersonJens WalterFangrui MaStephen D. Kachman
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Cell Metabolism (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Kunjie Hua
32 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Physiology 523
- Biological Psychiatry 48
- Molecular Biology 1.1k
- Genetics 423
- Infectious Diseases 251
Countries citing papers authored by Kunjie Hua
This map shows the geographic impact of Kunjie Hua'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 Kunjie Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunjie Hua more than expected).
Fields of papers citing papers by Kunjie Hua
This network shows the impact of papers produced by Kunjie Hua. 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 Kunjie Hua. The network helps show where Kunjie Hua may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kunjie Hua, 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 | 2020 | 1 | |
| 2 | 2018 | 7 | |
| 3 | 2018 | 9 | |
| 4 | 2017 | 17 | |
| 5 | 2017 | 8 | |
| 6 | 2017 | 13 | |
| 7 | 2015 | 10 | |
| 8 | 2014 | 69 | |
| 9 | 2013 | 5 | |
| 10 | 2013 | 34 | |
| 11 | 2012 | 9 | |
| 12 | Individuality in gut microbiota composition is a complex polygenic trait shaped by multiple environmental and host genetic factorsbreakdown → | 2010 | 982 |
| 13 | 2010 | 87 | |
| 14 | 2010 | 99 | |
| 15 | 2009 | 42 | |
| 16 | 2007 | 26 | |
| 17 | 2007 | 98 | |
| 18 | 2005 | 32 | |
| 19 | 2000 | 57 | |
| 20 | 2000 | 12 |
About Kunjie Hua
Kunjie Hua is a scholar working on Genetics, Physiology and Orthopedics and Sports Medicine, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetics and Physical Performance (14 papers), Adipose Tissue and Metabolism (11 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Genetic and phenotypic traits in livestock (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Muscle Physiology and Disorders (2 papers) and Sports Performance and Training (2 papers). The work is most often cited by research in Physiology (523 citations), Biological Psychiatry (48 citations) and Molecular Biology (1.1k citations). Kunjie Hua has collaborated with scholars based in United States and Canada. Frequent co-authors include Daniel Pomp, Scott A. Kelly, Derrick L. Nehrenberg, Andrew K. Benson, Daniel A. Peterson, Jens Walter, Fangrui Ma, Stephen D. Kachman, Jaehyoung Kim and Etsuko N. Moriyama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Metabolism and Scientific Reports.
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.