Mary C. Nakamura
- Immunology top 0.5%
- Immune Cell Function and Interaction 23
- T-cell and B-cell Immunology 19
- Immune Response and Inflammation 13
- Inflammation biomarkers and pathways 11
- Immune cells in cancer 9
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 8
- Hematology top 2%
- Oncology top 5%
- CAR-T cell therapy research 6
-
- Bone Metabolism and Diseases 16
- Co-authors
- William E. SeamanEréne C. NiemiMary Beth HumphreyLewis L. LanierChristine L. HsiehJames C. RyanMidori A. YenariNancy E. Lane
- Cited by
- ImmunologyNeurologyHematology
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesSwedenNorway
In The Last Decade
Mary C. Nakamura
78 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Immunology 3.1k
- Neurology 1.1k
- Hematology 498
- Orthopedics and Sports Medicine 351
- Oncology 942
Countries citing papers authored by Mary C. Nakamura
This map shows the geographic impact of Mary C. Nakamura'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 Mary C. Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary C. Nakamura more than expected).
Fields of papers citing papers by Mary C. Nakamura
This network shows the impact of papers produced by Mary C. Nakamura. 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 Mary C. Nakamura. The network helps show where Mary C. Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mary C. Nakamura, 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 | 2025 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 8 | |
| 5 | 2020 | 94 | |
| 6 | 2020 | 8 | |
| 7 | 2018 | 67 | |
| 8 | 2015 | 287 | |
| 9 | 2014 | 138 | |
| 10 | Binding and uptake of H-ferritin are mediated by human transferrin receptor-1breakdown → | 2010 | 457 |
| 11 | 2010 | 32 | |
| 12 | 2006 | 351 | |
| 13 | 2005 | 184 | |
| 14 | 2003 | 97 | |
| 15 | 2001 | 23 | |
| 16 | 2001 | 17 | |
| 17 | 2001 | 5 | |
| 18 | 2000 | 24 | |
| 19 | 1999 | 80 | |
| 20 | 1997 | 181 |
About Mary C. Nakamura
Mary C. Nakamura is a scholar working on Immunology, Neurology and Rheumatology, having authored 80 papers that have together received 6.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (19 papers), Bone Metabolism and Diseases (16 papers), Immune Response and Inflammation (13 papers), Inflammation biomarkers and pathways (11 papers), Immune cells in cancer (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Immunology (3.1k citations), Neurology (1.1k citations) and Hematology (498 citations). Mary C. Nakamura has collaborated with scholars based in United States, Sweden and Norway. Frequent co-authors include William E. Seaman, Eréne C. Niemi, Mary Beth Humphrey, Lewis L. Lanier, Christine L. Hsieh, James C. Ryan, Midori A. Yenari, Nancy E. Lane, Ralph Marcucio and Michael R. Daws. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.