Gina D. Kusuma
- Genetics top 2%
- Mesenchymal stem cell research 15
- Cancer Research top 10%
- MicroRNA in disease regulation 9
- Biomaterials top 10%
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies 3
-
- Extracellular vesicles in disease 7
- Viral Infectious Diseases and Gene Expression in Insects 4
-
- Tissue Engineering and Regenerative Medicine 9
-
- CAR-T cell therapy research 4
-
- Neonatal Respiratory Health Research 4
- Co-authors
- Jessica E. FrithRebecca LimJames CarthewBill KalionisShaun P. BrenneckeMohamed AbumareeJean L. TanDavid Morton
- Cited by
- GeneticsCancer ResearchBiomaterials
- Partner nations
- AustraliaSaudi ArabiaUnited States
In The Last Decade
Gina D. Kusuma
33 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Genetics 398
- Cancer Research 275
- Biomaterials 166
- Obstetrics and Gynecology 83
- Molecular Biology 561
Countries citing papers authored by Gina D. Kusuma
This map shows the geographic impact of Gina D. Kusuma'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 Gina D. Kusuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina D. Kusuma more than expected).
Fields of papers citing papers by Gina D. Kusuma
This network shows the impact of papers produced by Gina D. Kusuma. 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 Gina D. Kusuma. The network helps show where Gina D. Kusuma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gina D. Kusuma, 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 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 55 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 17 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 35 | |
| 9 | 2020 | 8 | |
| 10 | 2019 | 6 | |
| 11 | 2018 | 22 | |
| 12 | 2018 | 170 | |
| 13 | 2017 | 47 | |
| 14 | Effect of the Microenvironment on Mesenchymal Stem Cell Paracrine Signaling: Opportunities to Engineer the Therapeutic Effectbreakdown → | 2017 | 316 |
| 15 | 2017 | 19 | |
| 16 | 2016 | 35 | |
| 17 | 2015 | 44 | |
| 18 | 2014 | 13 | |
| 19 | 2012 | 25 | |
| 20 | 2009 | 12 |
About Gina D. Kusuma
Gina D. Kusuma is a scholar working on Genetics, Cancer Research and Obstetrics and Gynecology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (15 papers), Tissue Engineering and Regenerative Medicine (9 papers), MicroRNA in disease regulation (9 papers), Extracellular vesicles in disease (7 papers), CAR-T cell therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Neonatal Respiratory Health Research (4 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Genetics (398 citations), Cancer Research (275 citations) and Biomaterials (166 citations). Gina D. Kusuma has collaborated with scholars based in Australia, Saudi Arabia and United States. Frequent co-authors include Jessica E. Frith, Rebecca Lim, James Carthew, Bill Kalionis, Shaun P. Brennecke, Mohamed Abumaree, Jean L. Tan, David Morton, Mark D. Pertile and Justin J. Cooper‐White. Their work appears in journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.
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.