Ling Bei
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Cancer-related gene regulation 9
- Ubiquitin and proteasome pathways 6
- Protein Tyrosine Phosphatases 4
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 4
- Oncology 8
- Cytokine Signaling Pathways and Interactions 6
- Co-authors
- Elizabeth A. Eklund (25 shared papers)Hao Wang (12 shared papers)Weiqi Huang (16 shared papers)Chirag Shah (11 shared papers)Leonidas C. Platanias (9 shared papers)Elizabeth Horvath (5 shared papers)Xun Shen (2 shared papers)Tianhui Hu (2 shared papers)
- Journals
- Journal of Biological Chemistry (16 papers)Oncotarget (3 papers)The Journal of Immunology (2 papers)Oncogenesis (1 paper)Leukemia (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Ling Bei
28 papers receiving 657 citations
Peers
Comparison fields: 5 of 72
- Hematology 169
- Immunology 180
- Immunology and Allergy 40
- Molecular Biology 441
- Genetics 67
Countries citing papers authored by Ling Bei
This map shows the geographic impact of Ling Bei'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 Ling Bei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Bei more than expected).
Fields of papers citing papers by Ling Bei
This network shows the impact of papers produced by Ling Bei. 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 Ling Bei. The network helps show where Ling Bei may publish in the future.
Co-authors
The 23 scholars most cited alongside Ling Bei, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 58 | |
| 2 | 1998 | 50 | |
| 3 | 2007 | 48 | |
| 4 | 2008 | 44 | |
| 5 | 2008 | 43 | |
| 6 | 2003 | 39 | |
| 7 | 2010 | 39 | |
| 8 | 2002 | 38 | |
| 9 | 2012 | 35 | |
| 10 | 2011 | 27 | |
| 11 | 1999 | 22 | |
| 12 | 2011 | 22 | |
| 13 | 2015 | 21 | |
| 14 | 2015 | 18 | |
| 15 | 2013 | 17 | |
| 16 | 2018 | 17 | |
| 17 | 2013 | 16 | |
| 18 | 2016 | 15 | |
| 19 | 2016 | 15 | |
| 20 | 2012 | 14 |
About Ling Bei
Ling Bei is a scholar working on Molecular Biology, Oncology, Immunology, Hematology and Cancer Research, having authored 29 papers that have together received 665 indexed citations. Recurring topics across this work include Cancer-related gene regulation (9 papers), Cytokine Signaling Pathways and Interactions (6 papers), Ubiquitin and proteasome pathways (6 papers), Protein Tyrosine Phosphatases (4 papers), Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and NF-κB Signaling Pathways (4 papers). The work is most often cited by research in Hematology (169 citations), Immunology (180 citations), Immunology and Allergy (40 citations), Molecular Biology (441 citations) and Genetics (67 citations). Ling Bei has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Elizabeth A. Eklund, Hao Wang, Weiqi Huang, Chirag Shah, Leonidas C. Platanias, Elizabeth Horvath, Xun Shen, Tianhui Hu, Zhong‐Ming Qian and Liping Hu. Their work appears in journals such as Journal of Biological Chemistry, Oncotarget, The Journal of Immunology, Oncogenesis and Leukemia.
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.