Wonjo Jang
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
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- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
- Protein Structure and Dynamics
Papers in
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- Receptor Mechanisms and Signaling 8
- Protein Kinase Regulation and GTPase Signaling 5
- Lipid Membrane Structure and Behavior 2
- Ion channel regulation and function 1
- Machine Learning in Bioinformatics 1
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- Neuropeptides and Animal Physiology 5
- Co-authors
- Nevin A. Lambert (10 shared papers)Raymond C. Stevens (1 shared paper)Antao Dai (1 shared paper)Yu Guo (1 shared paper)Meng Wu (1 shared paper)Qingtong Zhou (1 shared paper)Wanjing Guo (1 shared paper)Eugene I. Shakhnovich (1 shared paper)
- Journals
- eLife (3 papers)Proceedings of the National Academy of Sciences (2 papers)Traffic (1 paper)Journal of Neuroscience (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Wonjo Jang
11 papers receiving 766 citations
Wonjo Jang's Hit Papers
Peers
Comparison fields: 5 of 69
- Cellular and Molecular Neuroscience 359
- Molecular Biology 610
- Developmental Neuroscience 22
- Physiology 21
- Endocrine and Autonomic Systems 27
Countries citing papers authored by Wonjo Jang
This map shows the geographic impact of Wonjo Jang'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 Wonjo Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wonjo Jang more than expected).
Fields of papers citing papers by Wonjo Jang
This network shows the impact of papers produced by Wonjo Jang. 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 Wonjo Jang. The network helps show where Wonjo Jang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wonjo Jang, 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 | Common activation mechanism of class A GPCRs Hit paper breakdown → | 2019 | 396 |
| 2 | 2020 | 85 | |
| 3 | 2015 | 79 | |
| 4 | 2015 | 62 | |
| 5 | 2022 | 57 | |
| 6 | 2021 | 32 | |
| 7 | 2023 | 30 | |
| 8 | 2020 | 15 | |
| 9 | 2024 | 6 | |
| 10 | 2020 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 0 |
About Wonjo Jang
Wonjo Jang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Oncology, having authored 12 papers that have together received 771 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cellular transport and secretion (3 papers), Lipid Membrane Structure and Behavior (2 papers), Ion channel regulation and function (1 paper), Machine Learning in Bioinformatics (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (359 citations), Molecular Biology (610 citations), Developmental Neuroscience (22 citations), Physiology (21 citations) and Endocrine and Autonomic Systems (27 citations). Wonjo Jang has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Nevin A. Lambert, Raymond C. Stevens, Antao Dai, Yu Guo, Meng Wu, Qingtong Zhou, Wanjing Guo, Eugene I. Shakhnovich, Suwen Zhao and Xiaoqing Cai. Their work appears in journals such as eLife, Proceedings of the National Academy of Sciences, Traffic, Journal of Neuroscience and Nature Communications.
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.