Kun Ru
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 16
- Acute Myeloid Leukemia Research 6
- Multiple Myeloma Research and Treatments 6
- Chronic Myeloid Leukemia Treatments 4
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- Protein Degradation and Inhibitors 5
- Co-authors
- Jianxiang Wang (12 shared papers)Tao Cheng (7 shared papers)Lugui Qiu (11 shared papers)Dehui Zou (11 shared papers)Yan Xu (10 shared papers)Gang An (10 shared papers)Yani Lin (10 shared papers)Lihui Shi (5 shared papers)
- Journals
- Oncotarget (7 papers)HLA (4 papers)Blood (2 papers)Leukemia Research (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kun Ru
47 papers receiving 486 citations
Peers
Comparison fields: 5 of 67
- Hematology 177
- Genetics 123
- Oncology 109
- Pathology and Forensic Medicine 62
- Cancer Research 46
Countries citing papers authored by Kun Ru
This map shows the geographic impact of Kun Ru'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 Kun Ru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Ru more than expected).
Fields of papers citing papers by Kun Ru
This network shows the impact of papers produced by Kun Ru. 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 Kun Ru. The network helps show where Kun Ru may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Ru, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | 2014 | 66 | |
| 3 | 2014 | 38 | |
| 4 | 2015 | 38 | |
| 5 | 2020 | 33 | |
| 6 | 2015 | 26 | |
| 7 | 2014 | 16 | |
| 8 | 2015 | 16 | |
| 9 | 2015 | 16 | |
| 10 | 2022 | 14 | |
| 11 | 2016 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2018 | 13 | |
| 14 | 2015 | 11 | |
| 15 | 2017 | 10 | |
| 16 | 2014 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2023 | 6 | |
| 20 | 2018 | 5 |
About Kun Ru
Kun Ru is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Oncology, having authored 52 papers that have together received 496 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Acute Myeloid Leukemia Research (6 papers), Multiple Myeloma Research and Treatments (6 papers), Protein Degradation and Inhibitors (5 papers), Immune Cell Function and Interaction (5 papers), Lymphoma Diagnosis and Treatment (5 papers), T-cell and B-cell Immunology (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Hematology (177 citations), Genetics (123 citations), Oncology (109 citations), Pathology and Forensic Medicine (62 citations) and Cancer Research (46 citations). Kun Ru has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianxiang Wang, Tao Cheng, Lugui Qiu, Dehui Zou, Yan Xu, Gang An, Yani Lin, Lihui Shi, Weimin Miao and Enbin Liu. Their work appears in journals such as Oncotarget, HLA, Blood, Leukemia Research and Journal of Clinical 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.