Junxia Min
- Cancer Research top 0.2%
- Cancer, Lipids, and Metabolism 11
- Pulmonary and Respiratory Medicine top 0.2%
- Ferroptosis and cancer prognosis 33
- Nutrition and Dietetics top 0.5%
- Trace Elements in Health 33
- Hematology top 1%
- Iron Metabolism and Disorders 35
- Molecular Biology top 1%
- RNA modifications and cancer 14
- Sphingolipid Metabolism and Signaling 8
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- Hemoglobinopathies and Related Disorders 14
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- Heavy Metal Exposure and Toxicity 12
- Journals
- Signal Transduction and Targeted Therapy (7 papers)Research (6 papers)Advanced Science (5 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Junxia Min
110 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Cancer Research 3.1k
- Pulmonary and Respiratory Medicine 4.4k
- Nutrition and Dietetics 1.5k
- Hematology 910
- Molecular Biology 5.0k
Countries citing papers authored by Junxia Min
This map shows the geographic impact of Junxia Min'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 Junxia Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxia Min more than expected).
Fields of papers citing papers by Junxia Min
This network shows the impact of papers produced by Junxia Min. 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 Junxia Min. The network helps show where Junxia Min may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junxia Min, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 23 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 63 | |
| 9 | The molecular and metabolic landscape of iron and ferroptosis in cardiovascular diseasebreakdown → | 2022 | 700 |
| 10 | 2021 | 99 | |
| 11 | 2021 | 99 | |
| 12 | 2021 | 7 | |
| 13 | Hepatic transferrin plays a role in systemic iron homeostasis and liver ferroptosisbreakdown → | 2020 | 449 |
| 14 | Loss of Cardiac Ferritin H Facilitates Cardiomyopathy via Slc7a11-Mediated Ferroptosisbreakdown → | 2020 | 569 |
| 15 | 2020 | 32 | |
| 16 | 2019 | 17 | |
| 17 | 2015 | 57 | |
| 18 | 2007 | 17 | |
| 19 | 2005 | 32 | |
| 20 | 2004 | 42 |
About Junxia Min
Junxia Min is a scholar working on Hematology, Nutrition and Dietetics, Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 113 papers that have together received 10.4k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (35 papers), Trace Elements in Health (33 papers), Ferroptosis and cancer prognosis (33 papers), RNA modifications and cancer (14 papers), Hemoglobinopathies and Related Disorders (14 papers), Heavy Metal Exposure and Toxicity (12 papers), Cancer, Lipids, and Metabolism (11 papers) and Sphingolipid Metabolism and Signaling (8 papers). The work is most often cited by research in Cancer Research (3.1k citations), Pulmonary and Respiratory Medicine (4.4k citations), Nutrition and Dietetics (1.5k citations), Hematology (910 citations) and Molecular Biology (5.0k citations). Junxia Min has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Fudi Wang, Xuexian Fang, Liyun Chen, Hao Wang, Peng An, Hossein Ardehali, Pan Zhang, Qian Wu, Qi Cheng and Dan Han. Their work appears in journals such as Signal Transduction and Targeted Therapy, Research, Advanced Science, Science Bulletin and Proceedings of the National Academy of Sciences.
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.