Anne B. Satterthwaite
- Immunology top 0.5%
- T-cell and B-cell Immunology 37
- Immune Cell Function and Interaction 26
- Immunodeficiency and Autoimmune Disorders 24
- Immunotherapy and Immune Responses 4
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 19
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research 7
- Immunology and Allergy top 2%
- Hematology top 2%
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- RNA Interference and Gene Delivery 4
- Glycosylation and Glycoproteins Research 3
- Co-authors
- Owen N. WittePrapaporn PisitkunMichael J. DifilippantonioSilvia BollandТ. Н. ТарасенкоJonathan A. DeaneDaniel G. TenenDavid A. Fruman
- Cited by
- ImmunologyGeneticsRheumatology
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (5 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Anne B. Satterthwaite
55 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 2.5k
- Genetics 820
- Rheumatology 664
- Immunology and Allergy 250
- Hematology 402
Countries citing papers authored by Anne B. Satterthwaite
This map shows the geographic impact of Anne B. Satterthwaite'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 Anne B. Satterthwaite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne B. Satterthwaite more than expected).
Fields of papers citing papers by Anne B. Satterthwaite
This network shows the impact of papers produced by Anne B. Satterthwaite. 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 Anne B. Satterthwaite. The network helps show where Anne B. Satterthwaite may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anne B. Satterthwaite, 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 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 6 | |
| 6 | 2018 | 68 | |
| 7 | 2018 | 36 | |
| 8 | 2016 | 70 | |
| 9 | 2010 | 22 | |
| 10 | 2009 | 35 | |
| 11 | 2007 | 32 | |
| 12 | Autoreactive B Cell Responses to RNA-Related Antigens Due to TLR7 Gene Duplicationbreakdown → | 2006 | 694 |
| 13 | 2005 | 89 | |
| 14 | 2003 | 46 | |
| 15 | 2002 | 41 | |
| 16 | 2000 | 145 | |
| 17 | 1999 | 19 | |
| 18 | 1998 | 26 | |
| 19 | 1996 | 5 | |
| 20 | 1992 | 208 |
About Anne B. Satterthwaite
Anne B. Satterthwaite is a scholar working on Immunology, Genetics and Immunology and Allergy, having authored 57 papers that have together received 3.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (37 papers), Immune Cell Function and Interaction (26 papers), Immunodeficiency and Autoimmune Disorders (24 papers), Chronic Lymphocytic Leukemia Research (19 papers), Systemic Lupus Erythematosus Research (7 papers), RNA Interference and Gene Delivery (4 papers), Immunotherapy and Immune Responses (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology (2.5k citations), Genetics (820 citations) and Rheumatology (664 citations). Anne B. Satterthwaite has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Owen N. Witte, Prapaporn Pisitkun, Michael J. Difilippantonio, Silvia Bolland, Т. Н. Тарасенко, Jonathan A. Deane, Daniel G. Tenen, David A. Fruman, Brian Seed and David L. Simmons. Their work appears in journals such as Science, 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.