Jinjun Cheng
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
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- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
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- Lymphoma Diagnosis and Treatment 6
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- Acute Myeloid Leukemia Research 6
- Chronic Myeloid Leukemia Treatments 3
- Co-authors
- Jing Ma (4 shared papers)Guangchun Song (3 shared papers)James R. Downing (3 shared papers)Xiaoping Su (2 shared papers)Charles G. Mullighan (2 shared papers)Jinghui Zhang (2 shared papers)Michelle Sims (3 shared papers)Chun Cai (3 shared papers)
- Journals
- Pediatric Blood & Cancer (3 papers)Blood (2 papers)Pediatric and Developmental Pathology (2 papers)Archives of Pathology & Laboratory Medicine (2 papers)Oncotarget (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jinjun Cheng
20 papers receiving 373 citations
Peers
Comparison fields: 5 of 45
- Hematology 155
- Cancer Research 87
- Genetics 51
- Hepatology 29
- Pathology and Forensic Medicine 54
Countries citing papers authored by Jinjun Cheng
This map shows the geographic impact of Jinjun Cheng'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 Jinjun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinjun Cheng more than expected).
Fields of papers citing papers by Jinjun Cheng
This network shows the impact of papers produced by Jinjun Cheng. 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 Jinjun Cheng. The network helps show where Jinjun Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinjun Cheng, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 128 | |
| 2 | 2015 | 53 | |
| 3 | 1999 | 34 | |
| 4 | 2017 | 23 | |
| 5 | 2019 | 22 | |
| 6 | 2017 | 22 | |
| 7 | 2016 | 19 | |
| 8 | 2015 | 15 | |
| 9 | 2020 | 13 | |
| 10 | 2017 | 10 | |
| 11 | 2018 | 9 | |
| 12 | 2018 | 8 | |
| 13 | 2018 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2023 | 3 | |
| 16 | 1982 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Jinjun Cheng
Jinjun Cheng is a scholar working on Pathology and Forensic Medicine, Hematology, Molecular Biology, Oncology and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 377 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Viral-associated cancers and disorders (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Histiocytic Disorders and Treatments (3 papers), MicroRNA in disease regulation (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (155 citations), Cancer Research (87 citations), Genetics (51 citations), Hepatology (29 citations) and Pathology and Forensic Medicine (54 citations). Jinjun Cheng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jing Ma, Guangchun Song, James R. Downing, Xiaoping Su, Charles G. Mullighan, Jinghui Zhang, Michelle Sims, Chun Cai, Lawrence M. Pfeffer and William F. Carman. Their work appears in journals such as Pediatric Blood & Cancer, Blood, Pediatric and Developmental Pathology, Archives of Pathology & Laboratory Medicine and Oncotarget.
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.