Luojing Chen
Impact in
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- NF-κB Signaling Pathways
- Biotechnology top 10%
- Enzyme Production and Characterization
Papers in
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- NF-κB Signaling Pathways 7
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- Renal function and acid-base balance 2
- Co-authors
- Shiv S Pillai (4 shared papers)David W. Oleksyn (8 shared papers)Jiyong Zhao (8 shared papers)Igñacio Sanz (4 shared papers)Clark F. Ford (3 shared papers)Z̆ivko L. Nikolov (3 shared papers)Mary J. Pulvino (4 shared papers)Khaleda Haider (3 shared papers)
- Journals
- JBMR Plus (2 papers)Blood (2 papers)Journal of Biological Chemistry (2 papers)Kidney International (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Luojing Chen
27 papers receiving 574 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 150
- Biotechnology 62
- Immunology and Allergy 36
- Immunology 116
- Molecular Biology 359
Countries citing papers authored by Luojing Chen
This map shows the geographic impact of Luojing Chen'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 Luojing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luojing Chen more than expected).
Fields of papers citing papers by Luojing Chen
This network shows the impact of papers produced by Luojing Chen. 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 Luojing Chen. The network helps show where Luojing Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Luojing Chen, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 128 | |
| 2 | 2001 | 55 | |
| 3 | 2015 | 39 | |
| 4 | 1998 | 32 | |
| 5 | 2003 | 31 | |
| 6 | 2007 | 31 | |
| 7 | 1991 | 29 | |
| 8 | 2013 | 28 | |
| 9 | 1995 | 26 | |
| 10 | 2014 | 24 | |
| 11 | 2003 | 21 | |
| 12 | 2020 | 18 | |
| 13 | 1991 | 17 | |
| 14 | 2014 | 15 | |
| 15 | 2012 | 12 | |
| 16 | 2019 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2022 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2017 | 8 |
About Luojing Chen
Luojing Chen is a scholar working on Cancer Research, Nephrology, Molecular Biology, Biotechnology and Nutrition and Dietetics, having authored 27 papers that have together received 583 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (7 papers), Kidney Stones and Urolithiasis Treatments (4 papers), Melanoma and MAPK Pathways (4 papers), Enzyme Production and Characterization (3 papers), Cell death mechanisms and regulation (3 papers), Retinoids in leukemia and cellular processes (3 papers), Renin-Angiotensin System Studies (2 papers) and Renal function and acid-base balance (2 papers). The work is most often cited by research in Cancer Research (150 citations), Biotechnology (62 citations), Immunology and Allergy (36 citations), Immunology (116 citations) and Molecular Biology (359 citations). Luojing Chen has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Shiv S Pillai, David W. Oleksyn, Jiyong Zhao, Igñacio Sanz, Clark F. Ford, Z̆ivko L. Nikolov, Mary J. Pulvino, Khaleda Haider, Joël Shapiro and Yuejin Liang. Their work appears in journals such as JBMR Plus, Blood, Journal of Biological Chemistry, Kidney International and The Journal of Immunology.
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.