Keren Long
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
Papers in
-
- Circular RNAs in diseases 13
- RNA Research and Splicing 10
- Gut microbiota and health 7
- RNA modifications and cancer 7
- Muscle Physiology and Disorders 5
-
- Cancer-related molecular mechanisms research 21
- MicroRNA in disease regulation 19
- Co-authors
- Mingzhou Li (60 shared papers)Jideng Ma (43 shared papers)Qianzi Tang (33 shared papers)Long Jin (44 shared papers)Xun Wang (27 shared papers)Xuewei Li (17 shared papers)Siyuan Feng (9 shared papers)Yi Luo (9 shared papers)
- Journals
- International Journal of Molecular Sciences (6 papers)PeerJ (5 papers)Gene (4 papers)Frontiers in Microbiology (3 papers)Cells (3 papers)
- Partner nations
- ChinaEstoniaUnited States
In The Last Decade
Keren Long
65 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Cancer Research 419
- Molecular Biology 678
- Genetics 191
- Animal Science and Zoology 48
- Immunology 77
Countries citing papers authored by Keren Long
This map shows the geographic impact of Keren 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 Keren Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keren Long more than expected).
Fields of papers citing papers by Keren Long
This network shows the impact of papers produced by Keren 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 Keren Long. The network helps show where Keren Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Keren 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 263 | |
| 2 | 2017 | 67 | |
| 3 | 2017 | 66 | |
| 4 | 2014 | 65 | |
| 5 | 2018 | 54 | |
| 6 | 2017 | 50 | |
| 7 | 2018 | 49 | |
| 8 | 2019 | 38 | |
| 9 | 2022 | 34 | |
| 10 | 2018 | 34 | |
| 11 | 2013 | 26 | |
| 12 | 1995 | 22 | |
| 13 | 2018 | 20 | |
| 14 | 2015 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2018 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2018 | 15 | |
| 19 | 2018 | 13 | |
| 20 | 2020 | 12 |
About Keren Long
Keren Long is a scholar working on Molecular Biology, Cancer Research, Genetics, Physiology and Animal Science and Zoology, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (21 papers), MicroRNA in disease regulation (19 papers), Circular RNAs in diseases (13 papers), RNA Research and Splicing (10 papers), Adipose Tissue and Metabolism (10 papers), Gut microbiota and health (7 papers), RNA modifications and cancer (7 papers) and Muscle Physiology and Disorders (5 papers). The work is most often cited by research in Cancer Research (419 citations), Molecular Biology (678 citations), Genetics (191 citations), Animal Science and Zoology (48 citations) and Immunology (77 citations). Keren Long has collaborated with scholars based in China, Estonia and United States. Frequent co-authors include Mingzhou Li, Jideng Ma, Qianzi Tang, Long Jin, Xun Wang, Xuewei Li, Siyuan Feng, Yi Luo, Juan Xiao and Yuhao Wang. Their work appears in journals such as International Journal of Molecular Sciences, PeerJ, Gene, Frontiers in Microbiology and Cells.
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.