Mengdi Jin
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
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- Stress Responses and Cortisol
Papers in
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- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 4
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- COVID-19 Clinical Research Studies 5
- Co-authors
- Qiong Yu (28 shared papers)Zhijun Li (19 shared papers)Xinwei Li (17 shared papers)Yane Liu (10 shared papers)Ningning Jia (13 shared papers)Guowei Huang (7 shared papers)Duo Wang (1 shared paper)Yang He (9 shared papers)
- Journals
- Journal of Psychiatric Research (4 papers)Journal of Affective Disorders (3 papers)BioMed Research International (2 papers)Molecular Neurobiology (2 papers)Current Alzheimer Research (2 papers)
- Partner nations
- ChinaUnited KingdomUganda
In The Last Decade
Mengdi Jin
50 papers receiving 484 citations
Peers
Comparison fields: 5 of 111
- Biological Psychiatry 41
- Behavioral Neuroscience 16
- Health Informatics 5
- Cancer Research 50
- Psychiatry and Mental health 33
Countries citing papers authored by Mengdi Jin
This map shows the geographic impact of Mengdi 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 Mengdi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengdi Jin more than expected).
Fields of papers citing papers by Mengdi Jin
This network shows the impact of papers produced by Mengdi 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 Mengdi Jin. The network helps show where Mengdi Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengdi 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 69 | |
| 2 | 2022 | 46 | |
| 3 | 2021 | 39 | |
| 4 | 2022 | 35 | |
| 5 | 2020 | 26 | |
| 6 | 2022 | 26 | |
| 7 | 2020 | 25 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2022 | 16 | |
| 11 | 2019 | 13 | |
| 12 | 2021 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2023 | 7 |
About Mengdi Jin
Mengdi Jin is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Oncology and Cancer Research, having authored 50 papers that have together received 487 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (4 papers), Long-Term Effects of COVID-19 (4 papers), MicroRNA in disease regulation (4 papers), Genetic Associations and Epidemiology (3 papers), Cancer-related molecular mechanisms research (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Biological Psychiatry (41 citations), Behavioral Neuroscience (16 citations), Health Informatics (5 citations), Cancer Research (50 citations) and Psychiatry and Mental health (33 citations). Mengdi Jin has collaborated with scholars based in China, United Kingdom and Uganda. Frequent co-authors include Qiong Yu, Zhijun Li, Xinwei Li, Yane Liu, Ningning Jia, Guowei Huang, Duo Wang, Yang He, Tongyu Tang and Weizhen Li. Their work appears in journals such as Journal of Psychiatric Research, Journal of Affective Disorders, BioMed Research International, Molecular Neurobiology and Current Alzheimer Research.
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.