Kefeng Lu
Impact in
- Physiology top 5%
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Ubiquitin and proteasome pathways 14
- Cancer-related gene regulation 6
- Epigenetics and DNA Methylation 5
- TGF-β signaling in diseases 4
- Epidemiology 30
- Autophagy in Disease and Therapy 30
- Co-authors
- Stefan Jentsch (3 shared papers)Ivan Psakhye (1 shared paper)Lingqiang Zhang (14 shared papers)Guichun Xing (13 shared papers)Fuchu He (13 shared papers)Huihui Li (21 shared papers)Fabian den Brave (2 shared papers)Ping Xie (6 shared papers)
- Journals
- Autophagy (6 papers)Nature Cell Biology (3 papers)Advances in experimental medicine and biology (3 papers)Nature Communications (2 papers)Advanced Science (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Kefeng Lu
56 papers receiving 2.0k citations
Kefeng Lu's Hit Papers
Peers
Comparison fields: 5 of 99
- Physiology 98
- Cell Biology 338
- Epidemiology 574
- Molecular Biology 1.2k
- Cancer Research 179
Countries citing papers authored by Kefeng Lu
This map shows the geographic impact of Kefeng Lu'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 Kefeng Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kefeng Lu more than expected).
Fields of papers citing papers by Kefeng Lu
This network shows the impact of papers produced by Kefeng Lu. 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 Kefeng Lu. The network helps show where Kefeng Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kefeng Lu, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 284 | |
| 2 | The SARS-CoV-2 protein ORF3a inhibits fusion of autophagosomes with lysosomes Hit paper breakdown → | 2021 | 176 |
| 3 | 2014 | 174 | |
| 4 | 2008 | 143 | |
| 5 | 2021 | 98 | |
| 6 | 2009 | 98 | |
| 7 | 2018 | 85 | |
| 8 | 2017 | 81 | |
| 9 | 2014 | 67 | |
| 10 | 2008 | 67 | |
| 11 | 2014 | 65 | |
| 12 | 2020 | 55 | |
| 13 | 2009 | 54 | |
| 14 | 2011 | 48 | |
| 15 | 2021 | 48 | |
| 16 | 2011 | 43 | |
| 17 | 2013 | 42 | |
| 18 | 2021 | 37 | |
| 19 | 2020 | 36 | |
| 20 | 2017 | 33 |
About Kefeng Lu
Kefeng Lu is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Oncology and Physiology, having authored 57 papers that have together received 2.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (30 papers), Ubiquitin and proteasome pathways (14 papers), Endoplasmic Reticulum Stress and Disease (11 papers), Cancer-related gene regulation (6 papers), Calcium signaling and nucleotide metabolism (5 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related Molecular Pathways (5 papers) and TGF-β signaling in diseases (4 papers). The work is most often cited by research in Physiology (98 citations), Cell Biology (338 citations), Epidemiology (574 citations), Molecular Biology (1.2k citations) and Cancer Research (179 citations). Kefeng Lu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Stefan Jentsch, Ivan Psakhye, Lingqiang Zhang, Guichun Xing, Fuchu He, Huihui Li, Fabian den Brave, Ping Xie, Yong Lin and Zhenyu Zhao. Their work appears in journals such as Autophagy, Nature Cell Biology, Advances in experimental medicine and biology, Nature Communications and Advanced Science.
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.