Duohui Jing
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
-
- Hematopoietic Stem Cell Transplantation 4
- Chronic Myeloid Leukemia Treatments 4
- Acute Myeloid Leukemia Research 2
-
- Acute Lymphoblastic Leukemia research 7
- Co-authors
- Martin Bornhäuser (8 shared papers)Gerhard Ehninger (6 shared papers)Rainer Ordemann (5 shared papers)Nael Alakel (3 shared papers)K. H. Müller (2 shared papers)Fernando A. Fierro (2 shared papers)Richard B. Lock (8 shared papers)Denis Corbeil (1 shared paper)
In The Last Decade
Duohui Jing
21 papers receiving 902 citations
Peers
Comparison fields: 5 of 90
- Genetics 254
- Hematology 264
- Biomaterials 130
- Oncology 153
- Cancer Research 80
Countries citing papers authored by Duohui Jing
This map shows the geographic impact of Duohui Jing'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 Duohui Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duohui Jing more than expected).
Fields of papers citing papers by Duohui Jing
This network shows the impact of papers produced by Duohui Jing. 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 Duohui Jing. The network helps show where Duohui Jing may publish in the future.
Co-authors
The 25 scholars most cited alongside Duohui Jing, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 174 | |
| 2 | 2005 | 111 | |
| 3 | 2014 | 96 | |
| 4 | 2007 | 78 | |
| 5 | 2009 | 69 | |
| 6 | 2017 | 55 | |
| 7 | 2005 | 51 | |
| 8 | 2011 | 51 | |
| 9 | 2018 | 48 | |
| 10 | 2010 | 45 | |
| 11 | 2009 | 44 | |
| 12 | 2014 | 31 | |
| 13 | 2016 | 19 | |
| 14 | 2017 | 17 | |
| 15 | 2020 | 12 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2019 | 1 | |
| 20 | 2009 | 1 |
About Duohui Jing
Duohui Jing is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Molecular Biology, Genetics and Cancer Research, having authored 23 papers that have together received 919 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (7 papers), Hematopoietic Stem Cell Transplantation (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Epigenetics and DNA Methylation (3 papers), Acute Myeloid Leukemia Research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Mesenchymal stem cell research (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Genetics (254 citations), Hematology (264 citations), Biomaterials (130 citations), Oncology (153 citations) and Cancer Research (80 citations). Duohui Jing has collaborated with scholars based in Germany, Australia and China. Frequent co-authors include Martin Bornhäuser, Gerhard Ehninger, Rainer Ordemann, Nael Alakel, K. H. Müller, Fernando A. Fierro, Richard B. Lock, Denis Corbeil, Zhao Nanming and Jason W.H. Wong. Their work appears in journals such as Blood, Haematologica, Journal of Biomaterials Applications, Clinical Cancer Research and Experimental Hematology.
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.