Jun 军 Liu 刘
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Materials Chemistry
- Organic Chemistry top 10%
- Biomedical Engineering
- Topics
- Aging, Elder Care, and Social Issues (4 papers)Health, Medicine and Society (4 papers)Hermeneutics and Narrative Identity (4 papers)
- Journals
- Journal of the American Chemical SocietyAmerican Journal of PsychiatryChemical Engineering Journal
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun 军 Liu 刘
16 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 714
- Radiology, Nuclear Medicine and Imaging 472
- Materials Chemistry 246
- Organic Chemistry 219
- Biomedical Engineering 191
Countries citing papers authored by Jun 军 Liu 刘
This map shows the geographic impact of Jun 军 Liu 刘'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 军 Liu 刘 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun 军 Liu 刘 more than expected).
Fields of papers citing papers by Jun 军 Liu 刘
This network shows the impact of papers produced by Jun 军 Liu 刘. 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 军 Liu 刘. The network helps show where Jun 军 Liu 刘 may publish in the future.
Co-authorship network of co-authors of Jun 军 Liu 刘
This figure shows the co-authorship network connecting the top 25 collaborators of Jun 军 Liu 刘. A scholar is included among the top collaborators of Jun 军 Liu 刘 based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun 军 Liu 刘. Jun 军 Liu 刘 is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 64 | |
| 3 | 6 | |
| 4 | 33 | |
| 5 | 36 | |
| 6 | Estimating Degrees of Freedom for Data from Complex Surveys | 0 |
| 7 | 22 | |
| 8 | 47 | |
| 9 | 46 | |
| 10 | 42 | |
| 11 | 142 | |
| 12 | Decreased regional homogeneity in major depression as revealed by resting-state functional magnetic resonance imaging. | 41 |
| 13 | 41 | |
| 14 | 33 | |
| 15 | 2 | |
| 16 | 134 | |
| 17 | 137 | |
| 18 | Challenges in the development of high protein concentration formulationsbreakdown → | 682 |
| 19 | 1 |
About Jun 军 Liu 刘
Jun 军 Liu 刘 is a scholar working on Philosophy, General Health Professions and Statistical and Nonlinear Physics, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Aging, Elder Care, and Social Issues (4 papers), Health, Medicine and Society (4 papers) and Hermeneutics and Narrative Identity (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (472 citations), Pharmaceutical Science (67 citations) and Molecular Biology (714 citations). Jun 军 Liu 刘 has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zahra Shahrokh, Lingen Chen, You‐Yun Zhou, Yong Tang, Xiu‐Li Sun, Baochun Li, Yuanhong Liu, Mingxin He, Tianzi Jiang and Zishu Zhang. Their work appears in journals such as Journal of the American Chemical Society, American Journal of Psychiatry and Chemical Engineering Journal.
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.