Long Long
Impact in
- Periodontics top 5%
- Oral Health Pathology and Treatment
- Developmental Neuroscience top 10%
Papers in
-
- RNA modifications and cancer 4
- Oncology 11
- Co-authors
- Honglei Chen (3 shared papers)Qi Pan (1 shared paper)Fuchun Chen (1 shared paper)Xue Zhang (1 shared paper)Yuyang Zeng (1 shared paper)Lili Wang (7 shared papers)Hongxia Dan (3 shared papers)Xin Zeng (3 shared papers)
- Journals
- Journal of Molecular Neuroscience (3 papers)Cancer Cell International (2 papers)The FASEB Journal (2 papers)Frontiers in Genetics (2 papers)Acta Pharmacologica Sinica (2 papers)
- Partner nations
- ChinaCzechiaUnited States
In The Last Decade
Long Long
73 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 115
- Periodontics 85
- Developmental Neuroscience 56
- Oncology 338
- Immunology 232
- Pathology and Forensic Medicine 178
Countries citing papers authored by Long Long
This map shows the geographic impact of Long Long'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 Long Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Long more than expected).
Fields of papers citing papers by Long Long
This network shows the impact of papers produced by Long Long. 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 Long Long. The network helps show where Long Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Long, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 313 | |
| 2 | 2010 | 88 | |
| 3 | 2014 | 76 | |
| 4 | 2019 | 56 | |
| 5 | 2013 | 53 | |
| 6 | 2017 | 44 | |
| 7 | 2017 | 42 | |
| 8 | 2013 | 40 | |
| 9 | 2018 | 34 | |
| 10 | 2013 | 31 | |
| 11 | 2017 | 29 | |
| 12 | 2014 | 28 | |
| 13 | 2008 | 27 | |
| 14 | 2020 | 23 | |
| 15 | 2019 | 23 | |
| 16 | 2005 | 23 | |
| 17 | 2019 | 22 | |
| 18 | 2009 | 22 | |
| 19 | 2020 | 21 | |
| 20 | 2013 | 19 |
About Long Long
Long Long is a scholar working on Molecular Biology, Oncology, Epidemiology, Cancer Research and Pathology and Forensic Medicine, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nerve injury and regeneration (6 papers), RNA modifications and cancer (4 papers), Advanced Harmonic Analysis Research (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Hepatitis B Virus Studies (3 papers), Autophagy in Disease and Therapy (3 papers), Advanced Banach Space Theory (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Periodontics (85 citations), Developmental Neuroscience (56 citations), Oncology (338 citations), Immunology (232 citations) and Pathology and Forensic Medicine (178 citations). Long Long has collaborated with scholars based in China, Czechia and United States. Frequent co-authors include Honglei Chen, Qi Pan, Fuchun Chen, Xue Zhang, Yuyang Zeng, Lili Wang, Hongxia Dan, Xin Zeng, Qianming Chen and Qihai Gong. Their work appears in journals such as Journal of Molecular Neuroscience, Cancer Cell International, The FASEB Journal, Frontiers in Genetics and Acta Pharmacologica Sinica.
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.