Lu Jiang
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Epigenetics and DNA Methylation 5
- Retinoids in leukemia and cellular processes 3
- Single-cell and spatial transcriptomics 3
- Hematology 13
- Acute Myeloid Leukemia Research 13
- Co-authors
- Bernd Schnabl (6 shared papers)Yi Duan (4 shared papers)Peter Stärkel (3 shared papers)Juan G. Abraldeṣ (2 shared papers)Xin Tu (2 shared papers)Sai‐Juan Chen (8 shared papers)Yanhan Wang (4 shared papers)Bing Chen (8 shared papers)
- Journals
- Frontiers of Medicine (4 papers)Proceedings of the National Academy of Sciences (3 papers)Frontiers in Immunology (2 papers)Journal of Translational Medicine (2 papers)International Immunopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Lu Jiang
42 papers receiving 805 citations
Peers
Comparison fields: 5 of 101
- Hematology 108
- Biological Psychiatry 19
- Infectious Diseases 127
- Epidemiology 228
- Molecular Biology 446
Countries citing papers authored by Lu Jiang
This map shows the geographic impact of Lu 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 Lu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Jiang more than expected).
Fields of papers citing papers by Lu Jiang
This network shows the impact of papers produced by Lu 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 Lu Jiang. The network helps show where Lu Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu 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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 149 | |
| 2 | 2020 | 138 | |
| 3 | 2019 | 60 | |
| 4 | 2022 | 46 | |
| 5 | 2020 | 41 | |
| 6 | 2014 | 40 | |
| 7 | 2020 | 39 | |
| 8 | 2012 | 30 | |
| 9 | 2023 | 29 | |
| 10 | 2015 | 23 | |
| 11 | 2020 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2015 | 13 | |
| 15 | 2021 | 13 | |
| 16 | 2017 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2021 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2018 | 10 |
About Lu Jiang
Lu Jiang is a scholar working on Molecular Biology, Hematology, Epidemiology, Cancer Research and Genetics, having authored 45 papers that have together received 814 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Liver Disease Diagnosis and Treatment (6 papers), Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Retinoids in leukemia and cellular processes (3 papers), Diet, Metabolism, and Disease (3 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Hematology (108 citations), Biological Psychiatry (19 citations), Infectious Diseases (127 citations), Epidemiology (228 citations) and Molecular Biology (446 citations). Lu Jiang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Bernd Schnabl, Yi Duan, Peter Stärkel, Juan G. Abraldeṣ, Xin Tu, Sai‐Juan Chen, Yanhan Wang, Bing Chen, Huikuan Chu and Xue‐Ping Li. Their work appears in journals such as Frontiers of Medicine, Proceedings of the National Academy of Sciences, Frontiers in Immunology, Journal of Translational Medicine and International Immunopharmacology.
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.