Nami McCarty
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- CAR-T cell therapy research
Papers in
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- Ubiquitin and proteasome pathways 4
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- Autophagy in Disease and Therapy 7
- Co-authors
- Han Zhang (3 shared papers)Zhen Chen (4 shared papers)Zheng Chen (2 shared papers)Michael Wang (5 shared papers)Larry W. Kwak (5 shared papers)Hyun Joo Jung (5 shared papers)L. Jeffrey Medeiros (3 shared papers)Roberto N. Miranda (3 shared papers)
- Journals
- Blood (4 papers)Autophagy (2 papers)Cancer Research (2 papers)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Nami McCarty
23 papers receiving 524 citations
Peers
Comparison fields: 5 of 72
- Hematology 89
- Oncology 172
- Business and International Management 11
- Pathology and Forensic Medicine 96
- Immunology 107
Countries citing papers authored by Nami McCarty
This map shows the geographic impact of Nami McCarty'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 Nami McCarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nami McCarty more than expected).
Fields of papers citing papers by Nami McCarty
This network shows the impact of papers produced by Nami McCarty. 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 Nami McCarty. The network helps show where Nami McCarty may publish in the future.
Co-authors
The 25 scholars most cited alongside Nami McCarty, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 61 | |
| 2 | 2014 | 59 | |
| 3 | 2016 | 46 | |
| 4 | 2017 | 43 | |
| 5 | 2021 | 42 | |
| 6 | 2018 | 39 | |
| 7 | 2016 | 30 | |
| 8 | 2013 | 29 | |
| 9 | 2016 | 24 | |
| 10 | 2021 | 21 | |
| 11 | 2010 | 21 | |
| 12 | 2012 | 21 | |
| 13 | 2012 | 19 | |
| 14 | 2011 | 17 | |
| 15 | 2011 | 16 | |
| 16 | 2017 | 13 | |
| 17 | 2024 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2024 | 4 | |
| 20 | 2004 | 4 |
About Nami McCarty
Nami McCarty is a scholar working on Molecular Biology, Epidemiology, Immunology, Pathology and Forensic Medicine and Oncology, having authored 23 papers that have together received 526 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Immune Cell Function and Interaction (4 papers), Multiple Myeloma Research and Treatments (4 papers), Ubiquitin and proteasome pathways (4 papers), CAR-T cell therapy research (3 papers), interferon and immune responses (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Hematology (89 citations), Oncology (172 citations), Business and International Management (11 citations), Pathology and Forensic Medicine (96 citations) and Immunology (107 citations). Nami McCarty has collaborated with scholars based in United States and South Korea. Frequent co-authors include Han Zhang, Zhen Chen, Han Zhang, Zheng Chen, Michael Wang, Larry W. Kwak, Hyun Joo Jung, L. Jeffrey Medeiros, Roberto N. Miranda and Jorge Romaguera. Their work appears in journals such as Blood, Autophagy, Cancer Research, Clinical Cancer Research and Scientific Reports.
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.