Won‐Jun Jang
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
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- Circadian rhythm and melatonin
Papers in
-
- Metabolomics and Mass Spectrometry Studies 7
- Heat shock proteins research 3
- Oncology 9
- Cancer Cells and Metastasis 2
- Co-authors
- Chul‐Ho Jeong (27 shared papers)Yung-Jin Kim (3 shared papers)Sooyeun Lee (16 shared papers)Eui-Yeun Yi (3 shared papers)Joo‐Won Jeong (2 shared papers)Shi-Young Park (2 shared papers)Yunjin Jung (1 shared paper)Tam Thuy Lu Vo (2 shared papers)
- Journals
- Archives of Pharmacal Research (4 papers)International Journal of Molecular Sciences (3 papers)Journal of Cellular and Molecular Medicine (2 papers)Oncology Reports (2 papers)Scientific Reports (2 papers)
- Partner nations
- South KoreaChina
In The Last Decade
Won‐Jun Jang
33 papers receiving 727 citations
Peers
Comparison fields: 5 of 100
- Biological Psychiatry 43
- Endocrine and Autonomic Systems 101
- Toxicology 46
- Cancer Research 126
- Molecular Biology 359
Countries citing papers authored by Won‐Jun Jang
This map shows the geographic impact of Won‐Jun 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 Won‐Jun Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won‐Jun Jang more than expected).
Fields of papers citing papers by Won‐Jun Jang
This network shows the impact of papers produced by Won‐Jun 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 Won‐Jun Jang. The network helps show where Won‐Jun Jang may publish in the future.
Co-authors
The 25 scholars most cited alongside Won‐Jun 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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 164 | |
| 2 | 2014 | 49 | |
| 3 | 2018 | 48 | |
| 4 | 2020 | 43 | |
| 5 | 2015 | 42 | |
| 6 | 2019 | 33 | |
| 7 | 2020 | 31 | |
| 8 | 2018 | 26 | |
| 9 | 2013 | 26 | |
| 10 | 2017 | 25 | |
| 11 | 2020 | 24 | |
| 12 | 2019 | 24 | |
| 13 | 2019 | 22 | |
| 14 | 2017 | 22 | |
| 15 | 2021 | 21 | |
| 16 | 2014 | 19 | |
| 17 | 2019 | 12 | |
| 18 | 2017 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2020 | 11 |
About Won‐Jun Jang
Won‐Jun Jang is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Cancer Research and Toxicology, having authored 33 papers that have together received 733 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Cancer, Hypoxia, and Metabolism (5 papers), Forensic Toxicology and Drug Analysis (4 papers), Adipose Tissue and Metabolism (4 papers), Heat shock proteins research (3 papers), Tryptophan and brain disorders (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Biological Psychiatry (43 citations), Endocrine and Autonomic Systems (101 citations), Toxicology (46 citations), Cancer Research (126 citations) and Molecular Biology (359 citations). Won‐Jun Jang has collaborated with scholars based in South Korea and China. Frequent co-authors include Chul‐Ho Jeong, Yung-Jin Kim, Sooyeun Lee, Eui-Yeun Yi, Joo‐Won Jeong, Shi-Young Park, Yunjin Jung, Tam Thuy Lu Vo, Nirmala Tilija Pun and Naeun Lee. Their work appears in journals such as Archives of Pharmacal Research, International Journal of Molecular Sciences, Journal of Cellular and Molecular Medicine, Oncology Reports 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.