Peiyan Kong
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
- Hematology 54
- Hematopoietic Stem Cell Transplantation 38
- Acute Myeloid Leukemia Research 18
- Multiple Myeloma Research and Treatments 8
- Oncology 34
- CAR-T cell therapy research 8
- Co-authors
- Xi Zhang (53 shared papers)Lei Gao (44 shared papers)Dongfeng Zeng (30 shared papers)Li Gao (31 shared papers)Xiangui Peng (35 shared papers)Yao Liu (21 shared papers)Xinghua Chen (19 shared papers)Cheng Zhang (21 shared papers)
- Journals
- Blood (6 papers)Leukemia Research (3 papers)Blood Cells Molecules and Diseases (3 papers)Frontiers in Immunology (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Peiyan Kong
82 papers receiving 976 citations
Peers
Comparison fields: 5 of 81
- Hematology 462
- Genetics 281
- Oncology 308
- Immunology 198
- Cancer Research 118
Countries citing papers authored by Peiyan Kong
This map shows the geographic impact of Peiyan Kong'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 Peiyan Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiyan Kong more than expected).
Fields of papers citing papers by Peiyan Kong
This network shows the impact of papers produced by Peiyan Kong. 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 Peiyan Kong. The network helps show where Peiyan Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Peiyan Kong, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 128 | |
| 2 | 2019 | 43 | |
| 3 | Ginsenoside Rg3 inhibits HIF-1α and VEGF expression in patient with acute leukemia via inhibiting the activation of PI3K/Akt and ERK1/2 pathways. | 2014 | 42 |
| 4 | 2016 | 42 | |
| 5 | 2009 | 40 | |
| 6 | 2009 | 38 | |
| 7 | 2020 | 31 | |
| 8 | 2020 | 31 | |
| 9 | 2006 | 29 | |
| 10 | 2019 | 26 | |
| 11 | 2009 | 25 | |
| 12 | 2020 | 25 | |
| 13 | 2013 | 21 | |
| 14 | 2021 | 21 | |
| 15 | 2019 | 20 | |
| 16 | 2018 | 20 | |
| 17 | 2017 | 19 | |
| 18 | 2011 | 18 | |
| 19 | 2010 | 17 | |
| 20 | 2010 | 17 |
About Peiyan Kong
Peiyan Kong is a scholar working on Hematology, Oncology, Genetics, Immunology and Molecular Biology, having authored 86 papers that have together received 983 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (38 papers), Mesenchymal stem cell research (18 papers), Acute Myeloid Leukemia Research (18 papers), Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (8 papers), Multiple Myeloma Research and Treatments (8 papers), Acute Lymphoblastic Leukemia research (8 papers) and CAR-T cell therapy research (8 papers). The work is most often cited by research in Hematology (462 citations), Genetics (281 citations), Oncology (308 citations), Immunology (198 citations) and Cancer Research (118 citations). Peiyan Kong has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xi Zhang, Lei Gao, Dongfeng Zeng, Li Gao, Xiangui Peng, Yao Liu, Xinghua Chen, Cheng Zhang, Qingyu Wang and Zhaohua Shen. Their work appears in journals such as Blood, Leukemia Research, Blood Cells Molecules and Diseases, Frontiers in Immunology and Frontiers in Oncology.
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.