Heather Niederer
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- T-cell and Retrovirus Studies
Papers in
- Immunology 11
- T-cell and Retrovirus Studies 6
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 2
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- Animal Disease Management and Epidemiology 6
- Co-authors
- Kenneth G. C. Smith (6 shared papers)Paul Lyons (4 shared papers)Lisa Willcocks (3 shared papers)Menna R. Clatworthy (2 shared papers)Edward J Carr (2 shared papers)Charles R. M. Bangham (6 shared papers)Richard C. Gardner (1 shared paper)Keith D. Richards (1 shared paper)
- Journals
- Retrovirology (3 papers)Virology Journal (1 paper)Human Molecular Genetics (1 paper)Current Opinion in Immunology (1 paper)Antonie van Leeuwenhoek (1 paper)
- Partner nations
- United KingdomJapanGhana
In The Last Decade
Heather Niederer
14 papers receiving 768 citations
Peers
Comparison fields: 5 of 59
- Immunology 461
- Tourism, Leisure and Hospitality Management 18
- Radiology, Nuclear Medicine and Imaging 265
- Agronomy and Crop Science 91
- Rheumatology 114
Countries citing papers authored by Heather Niederer
This map shows the geographic impact of Heather Niederer'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 Heather Niederer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Niederer more than expected).
Fields of papers citing papers by Heather Niederer
This network shows the impact of papers produced by Heather Niederer. 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 Heather Niederer. The network helps show where Heather Niederer may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather Niederer, 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 | 2010 | 141 | |
| 2 | 2008 | 129 | |
| 3 | 2005 | 109 | |
| 4 | 2010 | 102 | |
| 5 | 2014 | 99 | |
| 6 | 2010 | 71 | |
| 7 | 2009 | 69 | |
| 8 | 2010 | 18 | |
| 9 | 2014 | 15 | |
| 10 | 2014 | 14 | |
| 11 | 2015 | 4 | |
| 12 | 2014 | 1 | |
| 13 | 2014 | 1 | |
| 14 | 2014 | 1 |
About Heather Niederer
Heather Niederer is a scholar working on Immunology, Agronomy and Crop Science, Radiology, Nuclear Medicine and Imaging, Ecology, Evolution, Behavior and Systematics and Molecular Biology, having authored 14 papers that have together received 774 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (6 papers), T-cell and Retrovirus Studies (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Vector-Borne Animal Diseases (5 papers), T-cell and B-cell Immunology (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (461 citations), Tourism, Leisure and Hospitality Management (18 citations), Radiology, Nuclear Medicine and Imaging (265 citations), Agronomy and Crop Science (91 citations) and Rheumatology (114 citations). Heather Niederer has collaborated with scholars based in United Kingdom, Japan and Ghana. Frequent co-authors include Kenneth G. C. Smith, Paul Lyons, Lisa Willcocks, Menna R. Clatworthy, Edward J Carr, Charles R. M. Bangham, Richard C. Gardner, Keith D. Richards, Soon Lee and P. Rod Dunbar. Their work appears in journals such as Retrovirology, Virology Journal, Human Molecular Genetics, Current Opinion in Immunology and Antonie van Leeuwenhoek.
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.