Lin Jin
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
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- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 5
- Pancreatic and Hepatic Oncology Research 2
- Inflammatory Biomarkers in Disease Prognosis 1
- Cancer-related Molecular Pathways 1
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- Gynecological conditions and treatments 2
- Co-authors
- Yanhong Zhou (1 shared paper)Jiaqi Shi (4 shared papers)Hong Sun Kim (3 shared papers)Howard C. Crawford (2 shared papers)Mats E. Ljungman (2 shared papers)Jing Yang (2 shared papers)Marina Pasca di Magliano (2 shared papers)Karan Bedi (2 shared papers)
- Journals
- Cancer Research (1 paper)Cellular and Molecular Gastroenterology and Hepatology (1 paper)Environmental Toxicology (1 paper)Lipids in Health and Disease (1 paper)International Journal of Gynecology & Obstetrics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lin Jin
12 papers receiving 334 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 101
- Oncology 93
- Immunology 65
- Molecular Biology 148
- Biological Psychiatry 4
Countries citing papers authored by Lin Jin
This map shows the geographic impact of Lin 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 Lin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Jin more than expected).
Fields of papers citing papers by Lin Jin
This network shows the impact of papers produced by Lin 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 Lin Jin. The network helps show where Lin Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 127 | |
| 2 | 2021 | 46 | |
| 3 | 2022 | 43 | |
| 4 | 2021 | 31 | |
| 5 | 2023 | 23 | |
| 6 | 2022 | 18 | |
| 7 | 2024 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2019 | 2 | |
| 12 | 2019 | 1 |
About Lin Jin
Lin Jin is a scholar working on Oncology, Obstetrics and Gynecology, Cancer Research, Immunology and Dermatology, having authored 12 papers that have together received 336 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (2 papers), Gynecological conditions and treatments (2 papers), Immune cells in cancer (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Female Genital Mutilation/Cutting Issues (1 paper), Cancer-related Molecular Pathways (1 paper), Chemotherapy-related skin toxicity (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Cancer Research (101 citations), Oncology (93 citations), Immunology (65 citations), Molecular Biology (148 citations) and Biological Psychiatry (4 citations). Lin Jin has collaborated with scholars based in China and United States. Frequent co-authors include Yanhong Zhou, Jiaqi Shi, Hong Sun Kim, Howard C. Crawford, Mats E. Ljungman, Jing Yang, Marina Pasca di Magliano, Karan Bedi, Feng Tian and Yuanyuan Wang. Their work appears in journals such as Cancer Research, Cellular and Molecular Gastroenterology and Hepatology, Environmental Toxicology, Lipids in Health and Disease and International Journal of Gynecology & Obstetrics.
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.