Jianda Hu
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 71
- Acute Myeloid Leukemia Research 33
- Chronic Myeloid Leukemia Treatments 25
- Hematopoietic Stem Cell Transplantation 15
- Co-authors
- Yingyu Chen (32 shared papers)Xiao‐Jun Huang (21 shared papers)Tingbo Liu (23 shared papers)Depei Wu (11 shared papers)Jie Jin (19 shared papers)Haijun Chen (7 shared papers)He Huang (10 shared papers)Yu Gao (3 shared papers)
- Journals
- Blood (24 papers)Frontiers in Immunology (5 papers)Cancer Letters (4 papers)Medicine (3 papers)Cellular Physiology and Biochemistry (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jianda Hu
198 papers receiving 2.7k citations
Jianda Hu's Hit Papers
Peers
Comparison fields: 5 of 113
- Hematology 722
- Genetics 418
- Oncology 601
- Pathology and Forensic Medicine 380
- Infectious Diseases 256
Countries citing papers authored by Jianda Hu
This map shows the geographic impact of Jianda Hu'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 Jianda Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianda Hu more than expected).
Fields of papers citing papers by Jianda Hu
This network shows the impact of papers produced by Jianda Hu. 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 Jianda Hu. The network helps show where Jianda Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jianda Hu, 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 216 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 120 | |
| 2 | 2014 | 117 | |
| 3 | 2019 | 110 | |
| 4 | 2020 | 109 | |
| 5 | 2018 | 106 | |
| 6 | 2017 | 97 | |
| 7 | 2020 | 94 | |
| 8 | 2015 | 78 | |
| 9 | 2009 | 69 | |
| 10 | 2012 | 69 | |
| 11 | 2014 | 62 | |
| 12 | 2012 | 58 | |
| 13 | Consensus on the monitoring, treatment, and prevention of leukaemia relapse after allogeneic haematopoietic stem cell transplantation in China: 2024 update Hit paper breakdown → | 2024 | 56 |
| 14 | 2021 | 52 | |
| 15 | 2022 | 50 | |
| 16 | 2018 | 47 | |
| 17 | 2013 | 35 | |
| 18 | 2011 | 31 | |
| 19 | 2020 | 30 | |
| 20 | 2014 | 29 |
About Jianda Hu
Jianda Hu is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Public Health, Environmental and Occupational Health, having authored 216 papers that have together received 2.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (33 papers), Acute Lymphoblastic Leukemia research (28 papers), Chronic Myeloid Leukemia Treatments (25 papers), Chronic Lymphocytic Leukemia Research (21 papers), Lymphoma Diagnosis and Treatment (18 papers), Hematopoietic Stem Cell Transplantation (15 papers), CAR-T cell therapy research (14 papers) and Neutropenia and Cancer Infections (13 papers). The work is most often cited by research in Hematology (722 citations), Genetics (418 citations), Oncology (601 citations), Pathology and Forensic Medicine (380 citations) and Infectious Diseases (256 citations). Jianda Hu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yingyu Chen, Xiao‐Jun Huang, Tingbo Liu, Depei Wu, Jie Jin, Haijun Chen, He Huang, Yu Gao, Zhi‐Hong Zheng and Jianlei Wu. Their work appears in journals such as Blood, Frontiers in Immunology, Cancer Letters, Medicine and Cellular Physiology and Biochemistry.
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.