Jin Lu
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Platelet Disorders and Treatments
- Genetics top 10%
Papers in
- Hematology 67
- Multiple Myeloma Research and Treatments 50
- Acute Myeloid Leukemia Research 7
- Chronic Myeloid Leukemia Treatments 6
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 11
- Protein Degradation and Inhibitors 10
- Co-authors
- Xiao‐Jun Huang (66 shared papers)Qian Jiang (18 shared papers)Jian Hou (5 shared papers)Meng Lv (2 shared papers)Qing Ge (9 shared papers)Wei Chen (1 shared paper)Bo Huang (1 shared paper)Haibo Jia (1 shared paper)
- Journals
- Blood (8 papers)Frontiers in Oncology (5 papers)Annals of Hematology (4 papers)BMC Cancer (4 papers)Frontiers in Immunology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jin Lu
125 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Hematology 519
- Genetics 116
- Oncology 293
- Cancer Research 157
- Immunology 168
Countries citing papers authored by Jin Lu
This map shows the geographic impact of Jin Lu'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 Jin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Lu more than expected).
Fields of papers citing papers by Jin Lu
This network shows the impact of papers produced by Jin Lu. 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 Jin Lu. The network helps show where Jin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Lu, 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 149 | |
| 2 | 2020 | 71 | |
| 3 | 2014 | 67 | |
| 4 | 2018 | 58 | |
| 5 | 2017 | 40 | |
| 6 | 2016 | 39 | |
| 7 | 2008 | 38 | |
| 8 | 2017 | 35 | |
| 9 | TCM treatment of infectious atypical pneumonia--a report of 16 cases. | 2004 | 34 |
| 10 | 2016 | 33 | |
| 11 | 2013 | 31 | |
| 12 | 2019 | 26 | |
| 13 | 2021 | 25 | |
| 14 | A novel approach to human leukocyte antigen-mismatched transplantation in patients with malignant hematological disease. | 2004 | 23 |
| 15 | 2013 | 21 | |
| 16 | 2023 | 21 | |
| 17 | 2017 | 19 | |
| 18 | 2015 | 17 | |
| 19 | 2019 | 16 | |
| 20 | 2022 | 16 |
About Jin Lu
Jin Lu is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Immunology, having authored 142 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (50 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers), Protein Degradation and Inhibitors (10 papers), Chronic Lymphocytic Leukemia Research (10 papers), Peptidase Inhibition and Analysis (8 papers), Acute Myeloid Leukemia Research (7 papers), Acute Lymphoblastic Leukemia research (6 papers) and Chronic Myeloid Leukemia Treatments (6 papers). The work is most often cited by research in Hematology (519 citations), Genetics (116 citations), Oncology (293 citations), Cancer Research (157 citations) and Immunology (168 citations). Jin Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiao‐Jun Huang, Qian Jiang, Jian Hou, Meng Lv, Qing Ge, Wei Chen, Bo Huang, Haibo Jia, Tao Jiang and Dapeng Li. Their work appears in journals such as Blood, Frontiers in Oncology, Annals of Hematology, BMC Cancer and Frontiers in Immunology.
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.