Ju Guan
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Epidemiology top 5%
- Autophagy in Disease and Therapy
Papers in
-
- Plant Molecular Biology Research 5
- Postharvest Quality and Shelf Life Management 2
- Plant nutrient uptake and metabolism 2
-
- Plant Gene Expression Analysis 7
- Plant biochemistry and biosynthesis 5
- Co-authors
- Daniel J. Klionsky (4 shared papers)Per E. Strømhaug (3 shared papers)Sidney V. Scott (2 shared papers)John Kim (2 shared papers)William A. Dunn (2 shared papers)Maria U. Hutchins (1 shared paper)Fulvio Reggiori (1 shared paper)Chao-Wen Wang (1 shared paper)
- Journals
- Phytochemistry (3 papers)Frontiers in Plant Science (2 papers)Genes (2 papers)Molecular Biology of the Cell (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ju Guan
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 69
- Cell Biology 464
- Epidemiology 647
- Physiology 70
- Molecular Biology 691
- Parasitology 64
Countries citing papers authored by Ju Guan
This map shows the geographic impact of Ju Guan'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 Ju Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Guan more than expected).
Fields of papers citing papers by Ju Guan
This network shows the impact of papers produced by Ju Guan. 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 Ju Guan. The network helps show where Ju Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju Guan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 209 | |
| 2 | 2001 | 207 | |
| 3 | 2004 | 174 | |
| 4 | 2001 | 150 | |
| 5 | 2007 | 83 | |
| 6 | 2010 | 65 | |
| 7 | 2020 | 42 | |
| 8 | 2009 | 36 | |
| 9 | 2007 | 35 | |
| 10 | 2022 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2013 | 21 | |
| 14 | 2022 | 21 | |
| 15 | 2021 | 19 | |
| 16 | 2006 | 14 | |
| 17 | 2022 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2024 | 5 |
About Ju Guan
Ju Guan is a scholar working on Plant Science, Molecular Biology, Cell Biology, Epidemiology and Genetics, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (7 papers), Plant Molecular Biology Research (5 papers), Plant biochemistry and biosynthesis (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Autophagy in Disease and Therapy (4 papers), Cellular transport and secretion (3 papers), Postharvest Quality and Shelf Life Management (2 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Cell Biology (464 citations), Epidemiology (647 citations), Physiology (70 citations), Molecular Biology (691 citations) and Parasitology (64 citations). Ju Guan has collaborated with scholars based in China, United States and France. Frequent co-authors include Daniel J. Klionsky, Per E. Strømhaug, Sidney V. Scott, John Kim, William A. Dunn, Maria U. Hutchins, Fulvio Reggiori, Chao-Wen Wang, Nan Zhao and Feng Chen. Their work appears in journals such as Phytochemistry, Frontiers in Plant Science, Genes, Molecular Biology of the Cell and The Journal of Cell 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.