Junling Jia
Impact in
- Aging top 10%
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Ubiquitin and proteasome pathways 4
- Epigenetics and DNA Methylation 3
- Cancer-related gene regulation 2
- RNA and protein synthesis mechanisms 2
- Genomics and Chromatin Dynamics 2
- CRISPR and Genetic Engineering 2
- Co-authors
- Pumin Zhang (2 shared papers)Long Zhang (6 shared papers)Jin Jin (4 shared papers)Tao Yang (1 shared paper)Xuewen Pan (1 shared paper)Jun Qin (1 shared paper)Zhiwei Huang (1 shared paper)Beom‐Jun Kim (1 shared paper)
- Journals
- Nature Communications (3 papers)Developmental Cell (1 paper)Cell Reports (1 paper)Molecular Cell (1 paper)Genome biology (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Junling Jia
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Aging 32
- Cell Biology 275
- Molecular Biology 873
- Immunology 161
- Cancer Research 98
Countries citing papers authored by Junling Jia
This map shows the geographic impact of Junling Jia'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 Junling Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junling Jia more than expected).
Fields of papers citing papers by Junling Jia
This network shows the impact of papers produced by Junling Jia. 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 Junling Jia. The network helps show where Junling Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Junling Jia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 335 | |
| 2 | 2017 | 159 | |
| 3 | 2017 | 109 | |
| 4 | 2016 | 106 | |
| 5 | 2017 | 104 | |
| 6 | 2014 | 75 | |
| 7 | 2007 | 70 | |
| 8 | 2012 | 60 | |
| 9 | 2017 | 40 | |
| 10 | 2018 | 35 | |
| 11 | 2015 | 34 | |
| 12 | 2011 | 31 | |
| 13 | 2016 | 31 | |
| 14 | 1994 | 18 | |
| 15 | 2018 | 15 | |
| 16 | 2018 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 1 |
About Junling Jia
Junling Jia is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Cell Biology and Cancer Research, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Epigenetics and DNA Methylation (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer-related gene regulation (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Chromatin Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Aging (32 citations), Cell Biology (275 citations), Molecular Biology (873 citations), Immunology (161 citations) and Cancer Research (98 citations). Junling Jia has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Pumin Zhang, Long Zhang, Jin Jin, Tao Yang, Xuewen Pan, Jun Qin, Zhiwei Huang, Beom‐Jun Kim, Seong‐Tae Kim and Jinglan Zhang. Their work appears in journals such as Nature Communications, Developmental Cell, Cell Reports, Molecular Cell and Genome biology.
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.