Jun Kong
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
-
- CAR-T cell therapy research
- Neutropenia and Cancer Infections
Papers in
- Hematology 32
- Hematopoietic Stem Cell Transplantation 19
- Acute Myeloid Leukemia Research 13
- Chronic Myeloid Leukemia Treatments 6
- Multiple Myeloma Research and Treatments 5
- Immunology 11
- Immune Cell Function and Interaction 9
- Co-authors
- Xiao‐Jun Huang (31 shared papers)Lan‐Ping Xu (23 shared papers)Yu Wang (24 shared papers)Kai‐Yan Liu (16 shared papers)Chen‐Hua Yan (18 shared papers)Yuqian Sun (21 shared papers)Xiaohui Zhang (14 shared papers)Yong Zheng (1 shared paper)
- Journals
- Blood (5 papers)British Journal of Haematology (3 papers)Annals of Hematology (3 papers)Bone Marrow Transplantation (3 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Jun Kong
38 papers receiving 371 citations
Peers
Comparison fields: 5 of 66
- Hematology 178
- Oncology 118
- Immunology 84
- Epidemiology 106
- Genetics 30
Countries citing papers authored by Jun Kong
This map shows the geographic impact of Jun 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 Jun Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kong more than expected).
Fields of papers citing papers by Jun Kong
This network shows the impact of papers produced by Jun 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 Jun Kong. The network helps show where Jun Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 69 | |
| 2 | 2018 | 45 | |
| 3 | 2017 | 39 | |
| 4 | 2021 | 22 | |
| 5 | 2021 | 20 | |
| 6 | 2020 | 17 | |
| 7 | 2014 | 17 | |
| 8 | 2019 | 16 | |
| 9 | 2018 | 15 | |
| 10 | 2024 | 14 | |
| 11 | 2021 | 14 | |
| 12 | 2017 | 12 | |
| 13 | 2024 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2019 | 4 |
About Jun Kong
Jun Kong is a scholar working on Hematology, Immunology, Oncology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 48 papers that have together received 378 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (19 papers), Acute Myeloid Leukemia Research (13 papers), Immune Cell Function and Interaction (9 papers), Acute Lymphoblastic Leukemia research (8 papers), Cytomegalovirus and herpesvirus research (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Multiple Myeloma Research and Treatments (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (178 citations), Oncology (118 citations), Immunology (84 citations), Epidemiology (106 citations) and Genetics (30 citations). Jun Kong has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Xiao‐Jun Huang, Lan‐Ping Xu, Yu Wang, Kai‐Yan Liu, Chen‐Hua Yan, Yuqian Sun, Xiaohui Zhang, Yong Zheng, Yifei Cheng and Zujun Xie. Their work appears in journals such as Blood, British Journal of Haematology, Annals of Hematology, Bone Marrow Transplantation and Frontiers in 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.