Jennifer J. Hill
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 6
- TGF-β signaling in diseases 5
- Muscle Physiology and Disorders 4
- Genetics top 10%
- Cell Biology top 10%
- Immunology top 10%
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- Monoclonal and Polyclonal Antibodies Research 7
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- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 3
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- SARS-CoV-2 and COVID-19 Research 2
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- Paleontology and Evolutionary Biology 2
- Co-authors
- Yongchang QiuNeil M. WolfmanRodney M. HewickThomas F. LindsayMonique V. DaviesHerbert B. HechtmanFrancis D. MooreJohn F. Kelly
- Journals
- Journal of Biological Chemistry (2 papers)The Journal of Immunology (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jennifer J. Hill
31 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 915
- Genetics 129
- Cell Biology 186
- Immunology 227
- Aging 17
Countries citing papers authored by Jennifer J. Hill
This map shows the geographic impact of Jennifer J. Hill'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 Jennifer J. Hill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer J. Hill more than expected).
Fields of papers citing papers by Jennifer J. Hill
This network shows the impact of papers produced by Jennifer J. Hill. 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 Jennifer J. Hill. The network helps show where Jennifer J. Hill may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer J. Hill, 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 | 2024 | 3 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 27 | |
| 4 | 2022 | 15 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 7 | |
| 8 | 2019 | 29 | |
| 9 | 2019 | 1 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 26 | |
| 12 | 2017 | 22 | |
| 13 | 2010 | 11 | |
| 14 | 2009 | 27 | |
| 15 | 2008 | 117 | |
| 16 | 2006 | 22 | |
| 17 | 2002 | 386 | |
| 18 | 2001 | 54 | |
| 19 | 1993 | 47 | |
| 20 | 1992 | 210 |
About Jennifer J. Hill
Jennifer J. Hill is a scholar working on Spectroscopy, Neurology and Immunology and Allergy, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (6 papers), Advanced Proteomics Techniques and Applications (5 papers), TGF-β signaling in diseases (5 papers), Muscle Physiology and Disorders (4 papers), Mass Spectrometry Techniques and Applications (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Paleontology and Evolutionary Biology (2 papers). The work is most often cited by research in Molecular Biology (915 citations), Genetics (129 citations) and Cell Biology (186 citations). Jennifer J. Hill has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Yongchang Qiu, Neil M. Wolfman, Rodney M. Hewick, Thomas F. Lindsay, Monique V. Davies, Herbert B. Hechtman, Francis D. Moore, John F. Kelly, Ernest G. Peralta and Tammy‐Lynn Tremblay. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Analytical 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.