Eric Erquan Zhang
- Endocrine and Autonomic Systems top 0.1%
- Molecular Biology top 5%
- Physiology top 2%
- Plant Science top 2%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Steve A. KayAndrew C. LiuGen‐Sheng FengDavid K. WelshHien TranTsuyoshi HirotaKazuki HagiharaCaroline H. Ko
- Topics
- Circadian rhythm and melatonin (27 papers)Light effects on plants (12 papers)Pulmonary Hypertension Research and Treatments (12 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Eric Erquan Zhang
63 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Endocrine and Autonomic Systems 2.5k
- Molecular Biology 1.5k
- Physiology 1.2k
- Plant Science 914
- Cellular and Molecular Neuroscience 712
Countries citing papers authored by Eric Erquan Zhang
This map shows the geographic impact of Eric Erquan 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 Eric Erquan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Erquan Zhang more than expected).
Fields of papers citing papers by Eric Erquan Zhang
This network shows the impact of papers produced by Eric Erquan 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 Eric Erquan Zhang. The network helps show where Eric Erquan Zhang may publish in the future.
Co-authorship network of co-authors of Eric Erquan Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Erquan Zhang. A scholar is included among the top collaborators of Eric Erquan Zhang 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 Eric Erquan Zhang. Eric Erquan Zhang 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 | 2 | |
| 3 | 2 | |
| 4 | Prolonged sleep deprivation induces a cytokine-storm-like syndrome in mammalsbreakdown → | 118 |
| 5 | 5 | |
| 6 | 89 | |
| 7 | 50 | |
| 8 | 47 | |
| 9 | 28 | |
| 10 | 32 | |
| 11 | 135 | |
| 12 | 18 | |
| 13 | 4 | |
| 14 | 36 | |
| 15 | 336 | |
| 16 | 52 | |
| 17 | Intercellular Coupling Confers Robustness against Mutations in the SCN Circadian Clock Networkbreakdown → | 548 |
| 18 | 70 | |
| 19 | 66 | |
| 20 | 207 |
About Eric Erquan Zhang
Eric Erquan Zhang is a scholar working on Endocrine and Autonomic Systems, Aging and Cellular and Molecular Neuroscience, having authored 67 papers that have together received 4.5k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (27 papers), Light effects on plants (12 papers) and Pulmonary Hypertension Research and Treatments (12 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.5k citations), Aging (506 citations) and Physiology (1.2k citations). Eric Erquan Zhang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Steve A. Kay, Andrew C. Liu, Gen‐Sheng Feng, David K. Welsh, Hien Tran, Tsuyoshi Hirota, Kazuki Hagihara, Caroline H. Ko, Joseph S. Takahashi and Ethan D. Buhr. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.