Jianda Hu
Impact in
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 81
- Acute Myeloid Leukemia Research 34
- Chronic Myeloid Leukemia Treatments 28
- Hematopoietic Stem Cell Transplantation 15
- Co-authors
- Yingyu Chen (32 shared papers)Xiao‐Jun Huang (22 shared papers)Tingbo Liu (23 shared papers)Jie Jin (20 shared papers)Haijun Chen (7 shared papers)Depei Wu (10 shared papers)Yu Gao (3 shared papers)He Huang (10 shared papers)
- Journals
- Blood (24 papers)Frontiers in Immunology (5 papers)Journal of Cellular Physiology (3 papers)International Journal of Hematology (3 papers)Cancer Letters (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jianda Hu
188 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 115
- Hematology 705
- Genetics 498
- Oncology 699
- Pathology and Forensic Medicine 417
- Infectious Diseases 285
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 211 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 115 | |
| 2 | 2020 | 111 | |
| 3 | 2019 | 109 | |
| 4 | 2020 | 107 | |
| 5 | 2018 | 104 | |
| 6 | 2020 | 92 | |
| 7 | 2015 | 78 | |
| 8 | 2012 | 69 | |
| 9 | 2009 | 69 | |
| 10 | 2014 | 58 | |
| 11 | 2012 | 58 | |
| 12 | 2021 | 50 | |
| 13 | 2018 | 44 | |
| 14 | 2022 | 42 | |
| 15 | 2013 | 35 | |
| 16 | 2011 | 31 | |
| 17 | 2014 | 29 | |
| 18 | 2012 | 28 | |
| 19 | 2017 | 28 | |
| 20 | 2020 | 28 |
About Jianda Hu
Jianda Hu is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 211 papers that have together received 2.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (34 papers), Acute Lymphoblastic Leukemia research (29 papers), Chronic Lymphocytic Leukemia Research (29 papers), Chronic Myeloid Leukemia Treatments (28 papers), Lymphoma Diagnosis and Treatment (25 papers), CAR-T cell therapy research (17 papers), Hematopoietic Stem Cell Transplantation (15 papers) and Neutropenia and Cancer Infections (14 papers). The work is most often cited by research in Hematology (705 citations), Genetics (498 citations), Oncology (699 citations), Pathology and Forensic Medicine (417 citations) and Infectious Diseases (285 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, Jie Jin, Haijun Chen, Depei Wu, Yu Gao, He Huang, Jianlei Wu and Zhi‐Hong Zheng. Their work appears in journals such as Blood, Frontiers in Immunology, Journal of Cellular Physiology, International Journal of Hematology and Cancer Letters.
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.