Jun‐Li Luo
Impact in
- Cancer Research top 1%
- NF-κB Signaling Pathways
- Immunology top 1%
- Immune cells in cancer
- Immune Response and Inflammation
Papers in
-
- NF-κB Signaling Pathways 12
- Oncology 10
- Cancer Immunotherapy and Biomarkers 4
- Cytokine Signaling Pathways and Interactions 2
- Cancer-related Molecular Pathways 2
- Co-authors
- Michael Karin (10 shared papers)Shin Maeda (3 shared papers)Hyam L. Leffert (2 shared papers)Hideaki Kamata (2 shared papers)Sergei I. Grivennikov (2 shared papers)Sun-Hwa Kim (1 shared paper)Youngjun Kim (1 shared paper)Wan‐Wan Lin (1 shared paper)
- Journals
- Nature (4 papers)Molecular Cell (2 papers)Critical Reviews in Oncology/Hematology (2 papers)Biology (2 papers)Cancers (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jun‐Li Luo
40 papers receiving 5.8k citations
Jun‐Li Luo's Hit Papers
Peers
Comparison fields: 5 of 101
- Cancer Research 1.4k
- Immunology 1.3k
- Hepatology 470
- Oncology 1.1k
- Molecular Biology 1.4k
Countries citing papers authored by Jun‐Li Luo
This map shows the geographic impact of Jun‐Li Luo'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 Jun‐Li Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Li Luo more than expected).
Fields of papers citing papers by Jun‐Li Luo
This network shows the impact of papers produced by Jun‐Li Luo. 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 Jun‐Li Luo. The network helps show where Jun‐Li Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Li Luo, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IKKβ Couples Hepatocyte Death to Cytokine-Driven Compensatory Proliferation that Promotes Chemical Hepatocarcinogenesis Hit paper breakdown → | 2005 | 1028 |
| 2 | Carcinoma-produced factors activate myeloid cells through TLR2 to stimulate metastasis Hit paper breakdown → | 2008 | 959 |
| 3 | 2005 | 750 | |
| 4 | 2004 | 537 | |
| 5 | B-cell-derived lymphotoxin promotes castration-resistant prostate cancer Hit paper breakdown → | 2010 | 523 |
| 6 | 2007 | 367 | |
| 7 | 2004 | 324 | |
| 8 | 2003 | 259 | |
| 9 | 2008 | 182 | |
| 10 | 2007 | 134 | |
| 11 | 2012 | 132 | |
| 12 | 2001 | 114 | |
| 13 | 2019 | 111 | |
| 14 | 2005 | 94 | |
| 15 | 2022 | 60 | |
| 16 | 2016 | 56 | |
| 17 | 2015 | 53 | |
| 18 | 2013 | 39 | |
| 19 | 2024 | 19 | |
| 20 | 2021 | 18 |
About Jun‐Li Luo
Jun‐Li Luo is a scholar working on Cancer Research, Oncology, Immunology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 41 papers that have together received 5.9k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (12 papers), Prostate Cancer Treatment and Research (7 papers), Cancer Immunotherapy and Biomarkers (4 papers), Gut microbiota and health (3 papers), Immune Cell Function and Interaction (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Immune cells in cancer (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (1.4k citations), Immunology (1.3k citations), Hepatology (470 citations), Oncology (1.1k citations) and Molecular Biology (1.4k citations). Jun‐Li Luo has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Michael Karin, Shin Maeda, Hyam L. Leffert, Hideaki Kamata, Sergei I. Grivennikov, Sun-Hwa Kim, Youngjun Kim, Wan‐Wan Lin, Hiroyuki Takahashi and Pascal Descargues. Their work appears in journals such as Nature, Molecular Cell, Critical Reviews in Oncology/Hematology, Biology and Cancers.
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.