Jin Shu
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
-
- Platelet Disorders and Treatments
- Chronic Myeloid Leukemia Treatments
Papers in
-
- vaccines and immunoinformatics approaches 2
- Genetics 5
- Chronic Lymphocytic Leukemia Research 5
- Co-authors
- Timothy D. Owens (3 shared papers)Philip A. Nunn (5 shared papers)David Goldstein (3 shared papers)J. Michael Bradshaw (3 shared papers)Ken A. Brameld (2 shared papers)Jacob LaStant (2 shared papers)Dane E. Karr (2 shared papers)Claire L. Langrish (3 shared papers)
- Journals
- Clinical and Translational Science (3 papers)The Journal of Immunology (1 paper)Journal of Clinical Oncology (1 paper)ImmunoHorizons (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jin Shu
18 papers receiving 279 citations
Peers
Comparison fields: 5 of 59
- Genetics 89
- Hematology 64
- Pathology and Forensic Medicine 86
- Immunology 52
- Rheumatology 27
Countries citing papers authored by Jin Shu
This map shows the geographic impact of Jin Shu'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 Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Shu more than expected).
Fields of papers citing papers by Jin Shu
This network shows the impact of papers produced by Jin Shu. 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 Shu. The network helps show where Jin Shu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Shu, 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 | 2017 | 84 | |
| 2 | 2021 | 68 | |
| 3 | 2021 | 36 | |
| 4 | 2022 | 17 | |
| 5 | 2008 | 15 | |
| 6 | 2021 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2014 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 5 | |
| 12 | [Identification of a novel HLA-A2-restrictive CTL epitope of an ovary cancer-associated antigen OVA66]. | 2005 | 4 |
| 13 | [Analysis of the hearing of patients with obstructive sleep apnea-hypopnea syndrome]. | 2006 | 3 |
| 14 | 2022 | 2 | |
| 15 | 2011 | 2 | |
| 16 | [Inhibitory effect of ¹³¹I-CD133mAb combined with cisplatin on liver cancer cells in vitro and in a tumor-bearing mouse model]. | 2014 | 1 |
| 17 | 2021 | 1 | |
| 18 | 2011 | 1 |
About Jin Shu
Jin Shu is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Pathology and Forensic Medicine, having authored 18 papers that have together received 285 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Microbial bioremediation and biosurfactants (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Cancer Cells and Metastasis (2 papers), Toxic Organic Pollutants Impact (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Immunotherapy and Immune Responses (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Genetics (89 citations), Hematology (64 citations), Pathology and Forensic Medicine (86 citations), Immunology (52 citations) and Rheumatology (27 citations). Jin Shu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Timothy D. Owens, Philip A. Nunn, David Goldstein, J. Michael Bradshaw, Ken A. Brameld, Jacob LaStant, Dane E. Karr, Claire L. Langrish, Yan Xing and Michelle Francesco. Their work appears in journals such as Clinical and Translational Science, The Journal of Immunology, Journal of Clinical Oncology, ImmunoHorizons and Nature Communications.
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.