Dan Jin
Impact in
-
- Glioma Diagnosis and Treatment
- Mesenchymal stem cell research
-
- Bone and Joint Diseases
Papers in
- Genetics 8
- Mesenchymal stem cell research 5
-
- interferon and immune responses 4
- Co-authors
- Véronique Leblanc (3 shared papers)Diane L. Trinh (4 shared papers)Marco A. Marra (4 shared papers)Martha Hughes (1 shared paper)J. Gregory Cairncross (1 shared paper)Michael Blough (1 shared paper)John J. Kelly (1 shared paper)Jennifer A. Chan (1 shared paper)
- Journals
- Neuro-Oncology (5 papers)Blood (2 papers)Urolithiasis (2 papers)PLoS ONE (2 papers)Cancer Cell (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dan Jin
37 papers receiving 379 citations
Peers
Comparison fields: 5 of 86
- Genetics 69
- Orthopedics and Sports Medicine 38
- Cancer Research 57
- Health Informatics 5
- Biochemistry 19
Countries citing papers authored by Dan Jin
This map shows the geographic impact of Dan Jin'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 Dan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Jin more than expected).
Fields of papers citing papers by Dan Jin
This network shows the impact of papers produced by Dan Jin. 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 Dan Jin. The network helps show where Dan Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Jin, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 80 | |
| 2 | 2023 | 40 | |
| 3 | 2023 | 31 | |
| 4 | 2009 | 31 | |
| 5 | 2012 | 26 | |
| 6 | 2009 | 20 | |
| 7 | 2019 | 17 | |
| 8 | 2023 | 17 | |
| 9 | 2022 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2017 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2014 | 11 | |
| 14 | 2024 | 8 | |
| 15 | 2004 | 8 | |
| 16 | 2022 | 5 | |
| 17 | 2015 | 5 | |
| 18 | [Effect of platelet-rich plasma on proliferation and osteogenic differentiation of bone marrow stem cells in China goats]. | 2007 | 4 |
| 19 | [Effect of bone morphogenetic protein microspheres on biological behavior of rabbit bone marrow stem cells]. | 2003 | 4 |
| 20 | 2023 | 3 |
About Dan Jin
Dan Jin is a scholar working on Genetics, Immunology, Molecular Biology, Oncology and Cancer Research, having authored 38 papers that have together received 384 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Cancer Genomics and Diagnostics (4 papers), interferon and immune responses (4 papers), Acute Myeloid Leukemia Research (3 papers), Single-cell and spatial transcriptomics (3 papers), Cancer Research and Treatments (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Bone Tissue Engineering Materials (2 papers). The work is most often cited by research in Genetics (69 citations), Orthopedics and Sports Medicine (38 citations), Cancer Research (57 citations), Health Informatics (5 citations) and Biochemistry (19 citations). Dan Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Véronique Leblanc, Diane L. Trinh, Marco A. Marra, Martha Hughes, J. Gregory Cairncross, Michael Blough, John J. Kelly, Jennifer A. Chan, Bo Young Ahn and Xufeng Qi. Their work appears in journals such as Neuro-Oncology, Blood, Urolithiasis, PLoS ONE and Cancer Cell.
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.