Hong Yu Ren
- Molecular Biology top 5%
- Plant Science top 1%
- Cell Biology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Epidemiology
- Co-authors
- William M. GrayDouglas CyrDiane E. GroveMee Yeon ParkAngela SpartzScott A. HouckAngus MurphyMichael R. Sussman
- Topics
- Plant Molecular Biology Research (14 papers)Endoplasmic Reticulum Stress and Disease (9 papers)Plant Reproductive Biology (8 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Hong Yu Ren
33 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.8k
- Plant Science 1.7k
- Cell Biology 449
- Pulmonary and Respiratory Medicine 329
- Epidemiology 183
Countries citing papers authored by Hong Yu Ren
This map shows the geographic impact of Hong Yu Ren'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 Hong Yu Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Yu Ren more than expected).
Fields of papers citing papers by Hong Yu Ren
This network shows the impact of papers produced by Hong Yu Ren. 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 Hong Yu Ren. The network helps show where Hong Yu Ren may publish in the future.
Co-authorship network of co-authors of Hong Yu Ren
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Yu Ren. A scholar is included among the top collaborators of Hong Yu Ren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hong Yu Ren. Hong Yu Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 31 | |
| 4 | TMK-based cell-surface auxin signalling activates cell-wall acidificationbreakdown → | 193 |
| 5 | Cell surface and intracellular auxin signalling for H+ fluxes in root growthbreakdown → | 175 |
| 6 | 30 | |
| 7 | 77 | |
| 8 | 99 | |
| 9 | 38 | |
| 10 | 83 | |
| 11 | 69 | |
| 12 | SAUR Proteins as Effectors of Hormonal and Environmental Signals in Plant Growthbreakdown → | 402 |
| 13 | SAUR Inhibition of PP2C-D Phosphatases Activates Plasma Membrane H+-ATPases to Promote Cell Expansion in Arabidopsis breakdown → | 413 |
| 14 | 231 | |
| 15 | 68 | |
| 16 | 51 | |
| 17 | 103 | |
| 18 | 3 | |
| 19 | 100 | |
| 20 | 113 |
About Hong Yu Ren
Hong Yu Ren is a scholar working on Endocrinology, Cell Biology and Aging, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (14 papers), Endoplasmic Reticulum Stress and Disease (9 papers) and Plant Reproductive Biology (8 papers). The work is most often cited by research in Plant Science (1.7k citations), Cell Biology (449 citations) and Molecular Biology (1.8k citations). Hong Yu Ren has collaborated with scholars based in United States, China and Japan. Frequent co-authors include William M. Gray, Douglas Cyr, Diane E. Grove, Mee Yeon Park, Angela Spartz, Scott A. Houck, Angus Murphy, Michael R. Sussman, Paul Overvoorde and Sang Ho Lee. Their work appears in journals such as Nature, Journal of Biological Chemistry and Molecular Cell.
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.