Ming Jiang
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 10%
Papers in
- Hematology 18
- Hematopoietic Stem Cell Transplantation 12
- Acute Myeloid Leukemia Research 7
- Multiple Myeloma Research and Treatments 3
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- T-cell and B-cell Immunology 4
Ming Jiang
34 papers receiving 870 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Hematology 672
- Transplantation 43
- Genetics 156
- Immunology 237
- Oncology 279
Countries citing papers authored by Ming Jiang
This map shows the geographic impact of Ming Jiang'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 Ming Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Jiang more than expected).
Fields of papers citing papers by Ming Jiang
This network shows the impact of papers produced by Ming Jiang. 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 Ming Jiang. The network helps show where Ming Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2022 | 28 | |
| 5 | 2022 | 20 | |
| 6 | The consensus from The Chinese Society of Hematology on indications, conditioning regimens and donor selection for allogeneic hematopoietic stem cell transplantation: 2021 update Hit paper breakdown → | 2021 | 150 |
| 7 | 2021 | 2 | |
| 8 | 2020 | 5 | |
| 9 | 2019 | 5 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 202 | |
| 12 | 2018 | 5 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 141 | |
| 15 | 2014 | 7 | |
| 16 | 2014 | 51 | |
| 17 | Influences of 1,25-(OH)_2D_3 and salvia miltiorrhiza on hematopoiesis reconstruction and T cell subsets after allogeneic bone marrow transplantation in rats | 2010 | 1 |
| 18 | Treatment of retroperitoneal varicocelectomy and the traditional Chinese medicine for subfertile man with varicoceles | 2008 | 1 |
| 19 | The Experimental Study of the Prevention and Treatment Effects of Yiqi Yangyin Jiedu Huoxue Prescription and Its Minor Components on immunological liver injury in mice | 2005 | 1 |
| 20 | 1998 | 1 |
About Ming Jiang
Ming Jiang is a scholar working on Hematology, Immunology, Complementary and alternative medicine, Oncology and Genetics, having authored 37 papers that have together received 885 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (12 papers), Acute Myeloid Leukemia Research (7 papers), Polyomavirus and related diseases (5 papers), Acute Lymphoblastic Leukemia research (5 papers), T-cell and B-cell Immunology (4 papers), Multiple Myeloma Research and Treatments (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Thin-Film Transistor Technologies (2 papers). The work is most often cited by research in Hematology (672 citations), Transplantation (43 citations), Genetics (156 citations), Immunology (237 citations) and Oncology (279 citations). Ming Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiao‐Jun Huang, Qifa Liu, Lan‐Ping Xu, Jianmin Wang, Yongrong Lai, Xin Wang, Sujun Gao, Yongping Song, Depei Wu and Xi Zhang. Their work appears in journals such as Journal of Hematology & Oncology, Blood, Gene, British Journal of Haematology and Medicine.
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.