Frances M. Brodsky
- Cell Biology top 0.1%
- Cellular transport and secretion 76
- Immunology top 0.5%
- T-cell and B-cell Immunology 36
- Immunotherapy and Immune Responses 17
- Immune Cell Function and Interaction 17
- Immunology and Allergy top 0.5%
- Virology top 1%
- Molecular Biology top 0.5%
- Glycosylation and Glycoproteins Research 27
- Lipid Membrane Structure and Behavior 26
- Biochemical and Structural Characterization 22
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- Monoclonal and Polyclonal Antibodies Research 31
- Co-authors
- Peter ParhamWalter F. BodmerChih‐Ying ChenL E GuagliardiP ParhamMhairi C. TowlerAndrew WildeMichaël J. Crumpton
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Frances M. Brodsky
153 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Cell Biology 4.5k
- Immunology 3.9k
- Immunology and Allergy 714
- Virology 456
- Molecular Biology 6.4k
Countries citing papers authored by Frances M. Brodsky
This map shows the geographic impact of Frances M. Brodsky'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 Frances M. Brodsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frances M. Brodsky more than expected).
Fields of papers citing papers by Frances M. Brodsky
This network shows the impact of papers produced by Frances M. Brodsky. 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 Frances M. Brodsky. The network helps show where Frances M. Brodsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frances M. Brodsky, 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 | 7 | |
| 2 | 2024 | 2 | |
| 3 | 2020 | 25 | |
| 4 | 2019 | 36 | |
| 5 | 2019 | 36 | |
| 6 | 2019 | 1 | |
| 7 | 2019 | 31 | |
| 8 | 2015 | 9 | |
| 9 | 2014 | 15 | |
| 10 | 2014 | 18 | |
| 11 | Heparan sulfate proteoglycans mediate internalization and propagation of specific proteopathic seedsbreakdown → | 2013 | 649 |
| 12 | 2009 | 84 | |
| 13 | 2005 | 96 | |
| 14 | 2004 | 39 | |
| 15 | 2001 | 35 | |
| 16 | 1999 | 299 | |
| 17 | 1998 | 218 | |
| 18 | 1995 | 133 | |
| 19 | 1993 | 28 | |
| 20 | Hybrid myeloma monoclonal antibodies against MHC products | 1979 | 17 |
About Frances M. Brodsky
Frances M. Brodsky is a scholar working on Cell Biology, Immunology and Immunology and Allergy, having authored 155 papers that have together received 12.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (76 papers), T-cell and B-cell Immunology (36 papers), Monoclonal and Polyclonal Antibodies Research (31 papers), Glycosylation and Glycoproteins Research (27 papers), Lipid Membrane Structure and Behavior (26 papers), Biochemical and Structural Characterization (22 papers), Immunotherapy and Immune Responses (17 papers) and Immune Cell Function and Interaction (17 papers). The work is most often cited by research in Cell Biology (4.5k citations), Immunology (3.9k citations) and Immunology and Allergy (714 citations). Frances M. Brodsky has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Peter Parham, Walter F. Bodmer, Chih‐Ying Chen, L E Guagliardi, Peter Parham, P Parham, Mhairi C. Towler, Andrew Wilde, Michaël J. Crumpton and Colin J. Barnstable. Their work appears in journals such as Nature, Science and Cell.
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.