Yu Jiang
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 2%
- Fungal and yeast genetics research
- PI3K/AKT/mTOR signaling in cancer
- Extracellular vesicles in disease
- Bone Metabolism and Diseases
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 22
- Fungal and yeast genetics research 16
- Protein Kinase Regulation and GTPase Signaling 10
- Ubiquitin and proteasome pathways 8
- Cell Biology 20
- Cellular transport and secretion 8
- Microtubule and mitosis dynamics 7
- Co-authors
- Xiaochun Bai (26 shared papers)James R. Broach (2 shared papers)Susan Ferro‐Novick (9 shared papers)Anling Liu (9 shared papers)Dongzhu Ma (6 shared papers)Gonghong Yan (10 shared papers)Xiaoyun Shen (2 shared papers)Yongjian Liu (4 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)Biochemical and Biophysical Research Communications (4 papers)The EMBO Journal (3 papers)Nature Communications (3 papers)Molecular Biology of the Cell (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Yu Jiang
115 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 125
- Cell Biology 993
- Molecular Biology 3.4k
- Cancer Research 596
- Aging 58
- Physiology 139
Countries citing papers authored by Yu Jiang
This map shows the geographic impact of Yu Jiang'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 Yu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Jiang more than expected).
Fields of papers citing papers by Yu Jiang
This network shows the impact of papers produced by Yu Jiang. 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 Yu Jiang. The network helps show where Yu Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Jiang, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 302 | |
| 2 | 1999 | 279 | |
| 3 | 1994 | 173 | |
| 4 | 2007 | 157 | |
| 5 | 2020 | 149 | |
| 6 | 2018 | 134 | |
| 7 | 2009 | 133 | |
| 8 | 2005 | 128 | |
| 9 | 2016 | 125 | |
| 10 | 2011 | 108 | |
| 11 | 2013 | 104 | |
| 12 | 2009 | 103 | |
| 13 | 1991 | 102 | |
| 14 | 2010 | 100 | |
| 15 | 2016 | 99 | |
| 16 | mTOR Inhibitors at a Glance. | 2015 | 94 |
| 17 | 2006 | 91 | |
| 18 | 1995 | 85 | |
| 19 | 2018 | 83 | |
| 20 | 2018 | 83 |
About Yu Jiang
Yu Jiang is a scholar working on Molecular Biology, Cell Biology, Oncology, Cancer Research and Genetics, having authored 120 papers that have together received 5.2k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (22 papers), Fungal and yeast genetics research (16 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), MicroRNA in disease regulation (10 papers), Autophagy in Disease and Therapy (9 papers), Ubiquitin and proteasome pathways (8 papers), Cellular transport and secretion (8 papers) and Microtubule and mitosis dynamics (7 papers). The work is most often cited by research in Cell Biology (993 citations), Molecular Biology (3.4k citations), Cancer Research (596 citations), Aging (58 citations) and Physiology (139 citations). Yu Jiang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Xiaochun Bai, James R. Broach, Susan Ferro‐Novick, Anling Liu, Dongzhu Ma, Gonghong Yan, Xiaoyun Shen, Yongjian Liu, Yumei Lai and Yin Zheng. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, The EMBO Journal, Nature Communications and Molecular Biology of the 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.