Junru Liu
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
-
- Peptidase Inhibition and Analysis
Papers in
- Hematology 45
- Multiple Myeloma Research and Treatments 38
- Hematopoietic Stem Cell Transplantation 5
-
- Protein Degradation and Inhibitors 17
- Amyloidosis: Diagnosis, Treatment, Outcomes 7
- Glycosylation and Glycoproteins Research 4
- Co-authors
- Beihui Huang (41 shared papers)Juan Li (32 shared papers)Juan Li (15 shared papers)Zheng Dong (10 shared papers)Zhenhai Zhou (8 shared papers)Juan Li (1 shared paper)Bingqing Zhang (1 shared paper)Chang Su (4 shared papers)
- Journals
- Frontiers in Oncology (6 papers)Cancer Medicine (5 papers)Annals of Medicine (3 papers)Tumor Biology (3 papers)Acta Biochimica et Biophysica Sinica (3 papers)
- Partner nations
- ChinaHong KongSouth Korea
In The Last Decade
Junru Liu
68 papers receiving 545 citations
Peers
Comparison fields: 5 of 86
- Hematology 215
- Oncology 163
- Hepatology 42
- Genetics 54
- Dermatology 31
Countries citing papers authored by Junru Liu
This map shows the geographic impact of Junru Liu'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 Junru Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junru Liu more than expected).
Fields of papers citing papers by Junru Liu
This network shows the impact of papers produced by Junru Liu. 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 Junru Liu. The network helps show where Junru Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junru Liu, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 48 | |
| 2 | 2018 | 33 | |
| 3 | 2019 | 31 | |
| 4 | 2014 | 30 | |
| 5 | 2011 | 21 | |
| 6 | 2019 | 20 | |
| 7 | 2012 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2014 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2014 | 14 | |
| 12 | 2020 | 14 | |
| 13 | 2015 | 14 | |
| 14 | 2015 | 13 | |
| 15 | 2007 | 13 | |
| 16 | 2020 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2016 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2013 | 10 |
About Junru Liu
Junru Liu is a scholar working on Hematology, Molecular Biology, Oncology, Epidemiology and Genetics, having authored 79 papers that have together received 555 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (38 papers), Protein Degradation and Inhibitors (17 papers), Peptidase Inhibition and Analysis (14 papers), Cancer Treatment and Pharmacology (9 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers), Hematopoietic Stem Cell Transplantation (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (215 citations), Oncology (163 citations), Hepatology (42 citations), Genetics (54 citations) and Dermatology (31 citations). Junru Liu has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Beihui Huang, Juan Li, Juan Li, Zheng Dong, Zhenhai Zhou, Juan Li, Juan Li, Bingqing Zhang, Chang Su and Ying Li. Their work appears in journals such as Frontiers in Oncology, Cancer Medicine, Annals of Medicine, Tumor Biology and Acta Biochimica et Biophysica Sinica.
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.