Joy Gumin
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Glioma Diagnosis and Treatment
- Virus-based gene therapy research
- Cancer Research top 2%
- MicroRNA in disease regulation
Papers in
-
- Extracellular vesicles in disease 7
- Genetics 20
- Virus-based gene therapy research 17
- Mesenchymal stem cell research 11
- Glioma Diagnosis and Treatment 11
- Co-authors
- Frederick F. Lang (64 shared papers)Frank C. Marini (7 shared papers)Michael Andreeff (7 shared papers)Giacomo G. Vecil (2 shared papers)Juàn Fueyo (21 shared papers)Naoki Shinojima (10 shared papers)Akira Nakamizo (2 shared papers)Toshiyuki Amano (3 shared papers)
- Journals
- Neuro-Oncology (12 papers)Neurosurgery (9 papers)Cancer Research (9 papers)Oncotarget (3 papers)Journal of neurosurgery (3 papers)
- Partner nations
- United StatesSpainSwitzerland
In The Last Decade
Joy Gumin
71 papers receiving 3.7k citations
Joy Gumin's Hit Papers
Peers
Comparison fields: 5 of 97
- Genetics 1.3k
- Cancer Research 889
- Oncology 1.1k
- Developmental Neuroscience 124
- Molecular Biology 1.7k
Countries citing papers authored by Joy Gumin
This map shows the geographic impact of Joy Gumin'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 Joy Gumin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy Gumin more than expected).
Fields of papers citing papers by Joy Gumin
This network shows the impact of papers produced by Joy Gumin. 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 Joy Gumin. The network helps show where Joy Gumin may publish in the future.
Co-authors
The 25 scholars most cited alongside Joy Gumin, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human Bone Marrow–Derived Mesenchymal Stem Cells in the Treatment of Gliomas Hit paper breakdown → | 2005 | 868 |
| 2 | 2011 | 300 | |
| 3 | 2010 | 231 | |
| 4 | 2017 | 208 | |
| 5 | 2009 | 192 | |
| 6 | 2017 | 186 | |
| 7 | 2015 | 177 | |
| 8 | 2014 | 104 | |
| 9 | 2018 | 84 | |
| 10 | 2013 | 83 | |
| 11 | 2014 | 83 | |
| 12 | 2005 | 77 | |
| 13 | 2009 | 73 | |
| 14 | 2010 | 68 | |
| 15 | 2011 | 66 | |
| 16 | 2012 | 66 | |
| 17 | 2016 | 64 | |
| 18 | 2018 | 59 | |
| 19 | 2017 | 54 | |
| 20 | 2017 | 41 |
About Joy Gumin
Joy Gumin is a scholar working on Molecular Biology, Genetics, Oncology, Genetics and Cancer Research, having authored 74 papers that have together received 3.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (17 papers), Mesenchymal stem cell research (11 papers), Glioma Diagnosis and Treatment (11 papers), Cancer Research and Treatments (9 papers), Cancer Cells and Metastasis (8 papers), CAR-T cell therapy research (7 papers), Extracellular vesicles in disease (7 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Genetics (1.3k citations), Cancer Research (889 citations), Oncology (1.1k citations), Developmental Neuroscience (124 citations) and Molecular Biology (1.7k citations). Joy Gumin has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Frederick F. Lang, Frank C. Marini, Michael Andreeff, Giacomo G. Vecil, Juàn Fueyo, Naoki Shinojima, Akira Nakamizo, Toshiyuki Amano, Asadullah Khan and Stephen J. Hentschel. Their work appears in journals such as Neuro-Oncology, Neurosurgery, Cancer Research, Oncotarget and Journal of neurosurgery.
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.