Nathan J. Hare
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
- Immunotherapy and Immune Responses
- Molecular Medicine top 10%
Papers in
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- Immunodeficiency and Autoimmune Disorders 4
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Galectins and Cancer Biology 2
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- Bacterial biofilms and quorum sensing 4
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Stuart G. Tangye (5 shared papers)Philip D. Hodgkin (3 shared papers)Kim E. Nichols (4 shared papers)S. Cindy (3 shared papers)Loı̈c Dupré (2 shared papers)Grazia Andolfi (2 shared papers)Stephen Adelstein (2 shared papers)Stuart J. Cordwell (5 shared papers)
- Journals
- Journal of Proteome Research (3 papers)PROTEOMICS (2 papers)Journal of Clinical Investigation (2 papers)Journal of Neurochemistry (1 paper)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)
- Partner nations
- AustraliaUnited StatesItaly
In The Last Decade
Nathan J. Hare
14 papers receiving 775 citations
Peers
Comparison fields: 5 of 81
- Immunology 403
- Molecular Medicine 39
- Biochemistry 50
- Hematology 66
- Cellular and Molecular Neuroscience 103
Countries citing papers authored by Nathan J. Hare
This map shows the geographic impact of Nathan J. Hare'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 Nathan J. Hare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan J. Hare more than expected).
Fields of papers citing papers by Nathan J. Hare
This network shows the impact of papers produced by Nathan J. Hare. 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 Nathan J. Hare. The network helps show where Nathan J. Hare may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan J. Hare, 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 | 2005 | 132 | |
| 2 | 2003 | 129 | |
| 3 | 2005 | 125 | |
| 4 | 2004 | 112 | |
| 5 | 2003 | 55 | |
| 6 | 2012 | 38 | |
| 7 | 2011 | 38 | |
| 8 | 2015 | 36 | |
| 9 | 2016 | 33 | |
| 10 | 2011 | 29 | |
| 11 | 2013 | 19 | |
| 12 | 2006 | 13 | |
| 13 | 2020 | 13 | |
| 14 | 2010 | 11 |
About Nathan J. Hare
Nathan J. Hare is a scholar working on Immunology, Molecular Biology, Pulmonary and Respiratory Medicine, Infectious Diseases and Surgery, having authored 14 papers that have together received 783 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (4 papers), T-cell and B-cell Immunology (4 papers), Bacterial biofilms and quorum sensing (4 papers), Immune Cell Function and Interaction (4 papers), Galectins and Cancer Biology (2 papers), Cystic Fibrosis Research Advances (2 papers), Paraquat toxicity studies and treatments (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (403 citations), Molecular Medicine (39 citations), Biochemistry (50 citations), Hematology (66 citations) and Cellular and Molecular Neuroscience (103 citations). Nathan J. Hare has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Stuart G. Tangye, Philip D. Hodgkin, Kim E. Nichols, S. Cindy, Loı̈c Dupré, Grazia Andolfi, Stephen Adelstein, Stuart J. Cordwell, Danielle T. Avery and Julia I. Ellyard. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, Journal of Clinical Investigation, Journal of Neurochemistry and PROTEOMICS - CLINICAL APPLICATIONS.
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.