Lingjun Zhou
Impact in
- Aging top 5%
- Physiology top 10%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Pluripotent Stem Cells Research 6
- Renal and related cancers 2
-
- Musculoskeletal pain and rehabilitation 3
- Co-authors
- David L. Keefe (5 shared papers)Chao Li (4 shared papers)Chao Wu (2 shared papers)Anlong Xu (3 shared papers)Cai‐Ping Tan (2 shared papers)Liang‐Nian Ji (2 shared papers)Lianbin Wu (2 shared papers)Yiping Zhu (2 shared papers)
- Journals
- Human Molecular Genetics (2 papers)Pain Management Nursing (2 papers)Journal of Pain and Symptom Management (2 papers)Stem Cells (2 papers)Patient Preference and Adherence (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Lingjun Zhou
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 104
- Aging 60
- Physiology 253
- Oncology 257
- Molecular Biology 514
- Organic Chemistry 204
Countries citing papers authored by Lingjun Zhou
This map shows the geographic impact of Lingjun Zhou'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 Lingjun Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingjun Zhou more than expected).
Fields of papers citing papers by Lingjun Zhou
This network shows the impact of papers produced by Lingjun Zhou. 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 Lingjun Zhou. The network helps show where Lingjun Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingjun Zhou, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 323 | |
| 2 | 2010 | 227 | |
| 3 | 2011 | 100 | |
| 4 | 2014 | 69 | |
| 5 | 2009 | 51 | |
| 6 | 2008 | 45 | |
| 7 | 2009 | 43 | |
| 8 | 2009 | 33 | |
| 9 | 2011 | 30 | |
| 10 | 2014 | 23 | |
| 11 | 2007 | 21 | |
| 12 | 2014 | 15 | |
| 13 | 2005 | 14 | |
| 14 | 2011 | 13 | |
| 15 | 2011 | 11 | |
| 16 | 2024 | 7 | |
| 17 | 2014 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2025 | 4 | |
| 20 | 2022 | 3 |
About Lingjun Zhou
Lingjun Zhou is a scholar working on Molecular Biology, Pharmacology, Anesthesiology and Pain Medicine, Oncology and Genetics, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Pain Management and Opioid Use (3 papers), Musculoskeletal pain and rehabilitation (3 papers), Renal and related cancers (2 papers), Luminescence Properties of Advanced Materials (2 papers), Cardiac Arrest and Resuscitation (2 papers), Pediatric Pain Management Techniques (2 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Aging (60 citations), Physiology (253 citations), Oncology (257 citations), Molecular Biology (514 citations) and Organic Chemistry (204 citations). Lingjun Zhou has collaborated with scholars based in China, United States and Spain. Frequent co-authors include David L. Keefe, Chao Li, Chao Wu, Anlong Xu, Cai‐Ping Tan, Liang‐Nian Ji, Lianbin Wu, Yiping Zhu, Wenlie Peng and Shouhai Wu. Their work appears in journals such as Human Molecular Genetics, Pain Management Nursing, Journal of Pain and Symptom Management, Stem Cells and Patient Preference and Adherence.
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.