Ray Zhang
Impact in
- Endocrine and Autonomic Systems top 0.2%
- Circadian rhythm and melatonin
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
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- Multiple Sclerosis Research Studies 11
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- Fungal Plant Pathogen Control 7
- Co-authors
- John B. Hogenesch (3 shared papers)Nicholas F. Lahens (2 shared papers)Heather Ballance (1 shared paper)Michael E. Hughes (1 shared paper)Ming Hu (2 shared papers)Huquan Yin (1 shared paper)Zheng Shen (1 shared paper)Min You (1 shared paper)
- Journals
- Neurology (11 papers)Journal of Neurology (2 papers)Clinical Therapeutics (2 papers)The Journal of Immunology (2 papers)Hepatology (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Ray Zhang
29 papers receiving 2.4k citations
Ray Zhang's Hit Papers
Peers
Comparison fields: 5 of 109
- Endocrine and Autonomic Systems 1.3k
- Aging 287
- Physiology 700
- Pathology and Forensic Medicine 364
- Biological Psychiatry 47
Countries citing papers authored by Ray Zhang
This map shows the geographic impact of Ray Zhang'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 Ray Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ray Zhang more than expected).
Fields of papers citing papers by Ray Zhang
This network shows the impact of papers produced by Ray Zhang. 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 Ray Zhang. The network helps show where Ray Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ray Zhang, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A circadian gene expression atlas in mammals: Implications for biology and medicine Hit paper breakdown → | 2014 | 1650 |
| 2 | 2012 | 135 | |
| 3 | 2011 | 116 | |
| 4 | 2014 | 111 | |
| 5 | 2016 | 111 | |
| 6 | 2013 | 73 | |
| 7 | 2013 | 55 | |
| 8 | 2016 | 49 | |
| 9 | 2014 | 41 | |
| 10 | 2014 | 38 | |
| 11 | 2016 | 16 | |
| 12 | 2018 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2015 | 8 | |
| 15 | 2015 | 7 | |
| 16 | 2015 | 7 | |
| 17 | 2015 | 7 | |
| 18 | 2016 | 5 | |
| 19 | 2015 | 4 | |
| 20 | 2013 | 4 |
About Ray Zhang
Ray Zhang is a scholar working on Pathology and Forensic Medicine, Ecology, Evolution, Behavior and Systematics, Epidemiology, Molecular Biology and Oncology, having authored 31 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (11 papers), Fungal Plant Pathogen Control (7 papers), Mycobacterium research and diagnosis (3 papers), T-cell and B-cell Immunology (2 papers), Plant Disease Resistance and Genetics (2 papers), NF-κB Signaling Pathways (2 papers), Immunotherapy and Immune Responses (2 papers) and Behavioral Health and Interventions (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (1.3k citations), Aging (287 citations), Physiology (700 citations), Pathology and Forensic Medicine (364 citations) and Biological Psychiatry (47 citations). Ray Zhang has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include John B. Hogenesch, Nicholas F. Lahens, Heather Ballance, Michael E. Hughes, Ming Hu, Huquan Yin, Zheng Shen, Min You, Robert J. Fox and Michael Hutchinson. Their work appears in journals such as Neurology, Journal of Neurology, Clinical Therapeutics, The Journal of Immunology and Hepatology.
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.