Nami McCarty
Impact in
- Epidemiology top 2%
- Autophagy in Disease and Therapy
- Aging top 10%
Papers in
-
- Lymphoma Diagnosis and Treatment 12
- Oncology 5
- Cancer Cells and Metastasis 3
- Cancer-related Molecular Pathways 1
- Co-authors
- Zhen Chen (5 shared papers)Michael L. Wang (6 shared papers)Larry W. Kwak (6 shared papers)Zheng Chen (2 shared papers)Hyun Joo Jung (5 shared papers)L. Jeffrey Medeiros (3 shared papers)Jorge Enrique Romaguera (6 shared papers)Roberto N. Miranda (3 shared papers)
- Journals
- Blood (4 papers)Oncotarget (2 papers)Autophagy (2 papers)British Journal of Haematology (2 papers)American Journal of Hematology (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Nami McCarty
24 papers receiving 2.6k citations
Nami McCarty's Hit Papers
Peers
Comparison fields: 5 of 119
- Epidemiology 1.1k
- Aging 35
- Pathology and Forensic Medicine 172
- Molecular Biology 539
- Hematology 111
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2067 |
| 2 | 2014 | 64 | |
| 3 | 2015 | 64 | |
| 4 | 2016 | 50 | |
| 5 | 2021 | 46 | |
| 6 | 2018 | 45 | |
| 7 | 2016 | 32 | |
| 8 | 2013 | 30 | |
| 9 | 2016 | 27 | |
| 10 | 2010 | 25 | |
| 11 | 2021 | 24 | |
| 12 | 2012 | 23 | |
| 13 | 2012 | 20 | |
| 14 | 2011 | 18 | |
| 15 | 2011 | 16 | |
| 16 | 2017 | 16 | |
| 17 | 2012 | 9 | |
| 18 | 2024 | 7 | |
| 19 | 2017 | 6 | |
| 20 | 2024 | 6 |
About Nami McCarty
Nami McCarty is a scholar working on Pathology and Forensic Medicine, Oncology, Epidemiology, Hematology and Molecular Biology, having authored 24 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (12 papers), Autophagy in Disease and Therapy (6 papers), Cancer Cells and Metastasis (3 papers), Multiple Myeloma Research and Treatments (3 papers), Ubiquitin and proteasome pathways (2 papers), CRISPR and Genetic Engineering (2 papers), NF-κB Signaling Pathways (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Epidemiology (1.1k citations), Aging (35 citations), Pathology and Forensic Medicine (172 citations), Molecular Biology (539 citations) and Hematology (111 citations). Nami McCarty has collaborated with scholars based in United States and South Korea. Frequent co-authors include Zhen Chen, Michael L. Wang, Larry W. Kwak, Zheng Chen, Hyun Joo Jung, L. Jeffrey Medeiros, Jorge Enrique Romaguera, Roberto N. Miranda, Luis Fayad and Robert Zygmunt Orlowski. Their work appears in journals such as Blood, Oncotarget, Autophagy, British Journal of Haematology and American Journal of Hematology.
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.