Jiefei Geng
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Epidemiology top 1%
- Autophagy in Disease and Therapy
Papers in
- Cell Biology 11
- Cellular transport and secretion 8
- Endoplasmic Reticulum Stress and Disease 7
- Epidemiology 16
- Autophagy in Disease and Therapy 16
- Co-authors
- Daniel J. KlionskyUsha NairMisuzu BabaAyaz NajafovWei-Lien YenKe WangJunying YuanHeesun Cheong
- Journals
- Molecular Biology of the Cell (5 papers)Autophagy (5 papers)The Journal of Cell Biology (2 papers)Cell Death and Disease (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jiefei Geng
21 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Physiology 281
- Epidemiology 1.8k
- Cell Biology 811
- Parasitology 158
- Molecular Biology 1.7k
Countries citing papers authored by Jiefei Geng
This map shows the geographic impact of Jiefei Geng'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 Jiefei Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiefei Geng more than expected).
Fields of papers citing papers by Jiefei Geng
This network shows the impact of papers produced by Jiefei Geng. 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 Jiefei Geng. The network helps show where Jiefei Geng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiefei Geng, 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 | 2025 | 2 | |
| 2 | 2018 | 120 | |
| 3 | 2018 | 25 | |
| 4 | 2017 | 239 | |
| 5 | 2017 | 19 | |
| 6 | Activation of Necroptosis in Multiple Sclerosis Hit paper breakdown → | 2015 | 419 |
| 7 | 2011 | 356 | |
| 8 | 2010 | 147 | |
| 9 | 2010 | 9 | |
| 10 | 2010 | 55 | |
| 11 | 2010 | 47 | |
| 12 | 2009 | 17 | |
| 13 | 2009 | 207 | |
| 14 | 2008 | 12 | |
| 15 | 2008 | 94 | |
| 16 | The Atg8 and Atg12 ubiquitin‐like conjugation systems in macroautophagy Hit paper breakdown → | 2008 | 605 |
| 17 | 2008 | 94 | |
| 18 | 2008 | 2 | |
| 19 | 2007 | 199 | |
| 20 | 2006 | 206 |
About Jiefei Geng
Jiefei Geng is a scholar working on Cell Biology, Epidemiology, Parasitology, Physiology and Molecular Biology, having authored 21 papers that have together received 2.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (16 papers), Cellular transport and secretion (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Cell death mechanisms and regulation (3 papers), Polyamine Metabolism and Applications (3 papers), NF-κB Signaling Pathways (2 papers), Toxoplasma gondii Research Studies (2 papers) and Studies on Chitinases and Chitosanases (2 papers). The work is most often cited by research in Physiology (281 citations), Epidemiology (1.8k citations), Cell Biology (811 citations), Parasitology (158 citations) and Molecular Biology (1.7k citations). Jiefei Geng has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Daniel J. Klionsky, Usha Nair, Misuzu Baba, Ayaz Najafov, Wei-Lien Yen, Ke Wang, Junying Yuan, Heesun Cheong, Yasushi Ito and Palak Amin. Their work appears in journals such as Molecular Biology of the Cell, Autophagy, The Journal of Cell Biology, Cell Death and Disease and Nature Communications.
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.