Jun Jin
Impact in
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- Neuroinflammation and Neurodegeneration Mechanisms
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Ubiquitin and proteasome pathways 1
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- Inflammation biomarkers and pathways 1
- Co-authors
- Chang‐Ju Kim (4 shared papers)Sheng Tan (3 shared papers)Kyung Jin Chung (2 shared papers)Sung Eun Kim (1 shared paper)Jinwoo Jeong (1 shared paper)Lei Yu (2 shared papers)Feng Zhou (1 shared paper)Jian Chen (2 shared papers)
- Journals
- PLoS ONE (2 papers)Contrast Media & Molecular Imaging (1 paper)Frontiers in Pharmacology (1 paper)Molecular Neurobiology (1 paper)Annals of Human Genetics (1 paper)
- Partner nations
- ChinaHong KongSouth Korea
In The Last Decade
Jun Jin
28 papers receiving 331 citations
Peers
Comparison fields: 5 of 73
- Neurology 27
- Cancer Research 33
- Immunology 48
- Developmental Neuroscience 9
- Nephrology 15
Countries citing papers authored by Jun Jin
This map shows the geographic impact of Jun Jin'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 Jun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Jin more than expected).
Fields of papers citing papers by Jun Jin
This network shows the impact of papers produced by Jun Jin. 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 Jun Jin. The network helps show where Jun Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Jin, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 37 | |
| 2 | 2021 | 26 | |
| 3 | 2013 | 24 | |
| 4 | 2014 | 22 | |
| 5 | 2015 | 21 | |
| 6 | Prognostic value of circulating lymphocyte B and plasma immunoglobulin M on septic shock and sepsis: a systematic review and meta-analysis. | 2019 | 21 |
| 7 | 2020 | 19 | |
| 8 | 2020 | 18 | |
| 9 | 2016 | 18 | |
| 10 | 2017 | 15 | |
| 11 | 2024 | 13 | |
| 12 | 2017 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2016 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2016 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2016 | 8 | |
| 19 | 2016 | 8 | |
| 20 | 2022 | 7 |
About Jun Jin
Jun Jin is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 334 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Renal function and acid-base balance (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper), Ferroptosis and cancer prognosis (1 paper), Respiratory Support and Mechanisms (1 paper) and Inflammation biomarkers and pathways (1 paper). The work is most often cited by research in Neurology (27 citations), Cancer Research (33 citations), Immunology (48 citations), Developmental Neuroscience (9 citations) and Nephrology (15 citations). Jun Jin has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Chang‐Ju Kim, Sheng Tan, Kyung Jin Chung, Sung Eun Kim, Jinwoo Jeong, Lei Yu, Feng Zhou, Jian Chen, Young‐Hoon Kim and Peihua Wu. Their work appears in journals such as PLoS ONE, Contrast Media & Molecular Imaging, Frontiers in Pharmacology, Molecular Neurobiology and Annals of Human Genetics.
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.