David Jin
Impact in
- Hematology top 1%
- Platelet Disorders and Treatments
- Hematopoietic Stem Cell Transplantation
- Oncology top 2%
- Cancer Cells and Metastasis
- Chemokine receptors and signaling
Papers in
-
- Angiogenesis and VEGF in Cancer 12
- Oncology 12
- Chemokine receptors and signaling 3
- CAR-T cell therapy research 3
- Co-authors
- Shahin Rafii (15 shared papers)Isabelle Petit (2 shared papers)David Lyden (3 shared papers)Koji Shido (6 shared papers)Neil R. Hackett (5 shared papers)Ronald G. Crystal (5 shared papers)Scott T. Avecilla (3 shared papers)Andrea T. Hooper (3 shared papers)
- Journals
- American Journal of Hematology (5 papers)Journal of Clinical Investigation (4 papers)Blood (2 papers)Nature Medicine (1 paper)Membranes (1 paper)
- Partner nations
- United StatesChinaNorway
In The Last Decade
David Jin
46 papers receiving 3.3k citations
David Jin's Hit Papers
Peers
Comparison fields: 5 of 135
- Hematology 682
- Oncology 1.3k
- Cancer Research 619
- Genetics 416
- Molecular Biology 1.6k
Countries citing papers authored by David Jin
This map shows the geographic impact of David 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 David Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Jin more than expected).
Fields of papers citing papers by David Jin
This network shows the impact of papers produced by David 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 David Jin. The network helps show where David Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CD133 expression is not restricted to stem cells, and both CD133+ and CD133– metastatic colon cancer cells initiate tumors Hit paper breakdown → | 2008 | 731 |
| 2 | Chemokine-mediated interaction of hematopoietic progenitors with the bone marrow vascular niche is required for thrombopoiesis Hit paper breakdown → | 2003 | 582 |
| 3 | 2007 | 486 | |
| 4 | 2006 | 314 | |
| 5 | 2005 | 200 | |
| 6 | 2022 | 154 | |
| 7 | 2022 | 90 | |
| 8 | 2007 | 81 | |
| 9 | 2006 | 80 | |
| 10 | 2005 | 74 | |
| 11 | 1998 | 58 | |
| 12 | 2007 | 50 | |
| 13 | 2005 | 50 | |
| 14 | 2016 | 44 | |
| 15 | 2004 | 40 | |
| 16 | 2003 | 35 | |
| 17 | 2009 | 33 | |
| 18 | 2021 | 32 | |
| 19 | 1998 | 27 | |
| 20 | 2020 | 26 |
About David Jin
David Jin is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Cancer Research, having authored 48 papers that have together received 3.4k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (12 papers), Multiple Myeloma Research and Treatments (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Acute Myeloid Leukemia Research (3 papers), Chemokine receptors and signaling (3 papers), CAR-T cell therapy research (3 papers), Platelet Disorders and Treatments (3 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Hematology (682 citations), Oncology (1.3k citations), Cancer Research (619 citations), Genetics (416 citations) and Molecular Biology (1.6k citations). David Jin has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Shahin Rafii, Isabelle Petit, David Lyden, Koji Shido, Neil R. Hackett, Ronald G. Crystal, Scott T. Avecilla, Andrea T. Hooper, Till Milde and Shuguang Zhang. Their work appears in journals such as American Journal of Hematology, Journal of Clinical Investigation, Blood, Nature Medicine and Membranes.
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.