Cong Peng
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 25
- Chronic Myeloid Leukemia Treatments 22
- Acute Myeloid Leukemia Research 5
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- PI3K/AKT/mTOR signaling in cancer 4
- Cancer-related gene regulation 3
- Co-authors
- Shaoguang Li (22 shared papers)Yaoyu Chen (12 shared papers)Yiguo Hu (7 shared papers)Haojian Zhang (6 shared papers)Dongguang Li (9 shared papers)Con Sullivan (5 shared papers)Xiang Chen (6 shared papers)Zhongfa Yang (2 shared papers)
- Journals
- Blood (8 papers)Biochemical Pharmacology (3 papers)Nature Genetics (2 papers)BMC Musculoskeletal Disorders (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Cong Peng
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Hematology 578
- Genetics 288
- Rheumatology 152
- Molecular Biology 655
- Cancer Research 139
Countries citing papers authored by Cong Peng
This map shows the geographic impact of Cong Peng'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 Cong Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Peng more than expected).
Fields of papers citing papers by Cong Peng
This network shows the impact of papers produced by Cong Peng. 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 Cong Peng. The network helps show where Cong Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Peng, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 237 | |
| 2 | 2007 | 117 | |
| 3 | 2009 | 98 | |
| 4 | 2016 | 73 | |
| 5 | 2018 | 71 | |
| 6 | 2012 | 62 | |
| 7 | 2014 | 51 | |
| 8 | 2010 | 50 | |
| 9 | 2019 | 45 | |
| 10 | 2007 | 36 | |
| 11 | 2005 | 34 | |
| 12 | 2011 | 32 | |
| 13 | 2010 | 30 | |
| 14 | 2008 | 26 | |
| 15 | 2010 | 24 | |
| 16 | 2019 | 22 | |
| 17 | 2013 | 22 | |
| 18 | 2010 | 20 | |
| 19 | 2018 | 20 | |
| 20 | 2007 | 20 |
About Cong Peng
Cong Peng is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Surgery, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (22 papers), Chronic Lymphocytic Leukemia Research (7 papers), Acute Myeloid Leukemia Research (5 papers), Eosinophilic Disorders and Syndromes (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer-related gene regulation (3 papers), T-cell and Retrovirus Studies (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Hematology (578 citations), Genetics (288 citations), Rheumatology (152 citations), Molecular Biology (655 citations) and Cancer Research (139 citations). Cong Peng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shaoguang Li, Yaoyu Chen, Yiguo Hu, Haojian Zhang, Dongguang Li, Con Sullivan, Xiang Chen, Zhongfa Yang, Alan G. Rosmarin and Linghong Kong. Their work appears in journals such as Blood, Biochemical Pharmacology, Nature Genetics, BMC Musculoskeletal Disorders and PLoS ONE.
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.