Amy S. Rosenberg

7.4k total citations · 2 hit papers
84 papers, 5.5k citations indexed

About

Amy S. Rosenberg is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Amy S. Rosenberg has authored 84 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Immunology, 33 papers in Molecular Biology and 18 papers in Physiology. Recurrent topics in Amy S. Rosenberg's work include Lysosomal Storage Disorders Research (18 papers), Immunotherapy and Immune Responses (17 papers) and Monoclonal and Polyclonal Antibodies Research (15 papers). Amy S. Rosenberg is often cited by papers focused on Lysosomal Storage Disorders Research (18 papers), Immunotherapy and Immune Responses (17 papers) and Monoclonal and Polyclonal Antibodies Research (15 papers). Amy S. Rosenberg collaborates with scholars based in United States, Thailand and Israel. Amy S. Rosenberg's co-authors include Priya S. Kishnani, Daniela Verthelyi, Carrie Wagner, David J. Shealy, Nancy Solowski, Bernie Scallon, Xiaoyu Song, Barry Cherney, Zuben E. Sauna and Toshiaki Mizuochi and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Amy S. Rosenberg

84 papers receiving 5.3k citations

Hit Papers

Effects of protein aggregates: An immunologic perspective 2002 2026 2010 2018 2006 2002 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amy S. Rosenberg United States 35 2.5k 1.6k 1.3k 1.2k 733 84 5.5k
Grietje Molema Netherlands 56 4.9k 1.9× 1.6k 1.0× 908 0.7× 450 0.4× 202 0.3× 229 10.3k
Paul Declerck Belgium 52 2.7k 1.1× 1.6k 1.0× 755 0.6× 552 0.5× 173 0.2× 321 10.3k
V J Ferrans United States 52 2.1k 0.8× 1.1k 0.7× 502 0.4× 1.0k 0.8× 329 0.4× 140 9.1k
Bellur S. Prabhakar United States 54 2.8k 1.1× 2.9k 1.9× 820 0.6× 463 0.4× 324 0.4× 205 9.1k
Mortimer Poncz United States 65 3.5k 1.4× 2.1k 1.3× 650 0.5× 795 0.7× 341 0.5× 287 13.3k
Anne Janin France 58 3.6k 1.4× 3.1k 2.0× 388 0.3× 1.4k 1.2× 1.2k 1.6× 333 11.4k
Joel Bennett United States 52 2.6k 1.0× 819 0.5× 1.1k 0.9× 428 0.4× 255 0.3× 121 9.0k
Matthias Eder Germany 57 3.0k 1.2× 1.2k 0.8× 5.9k 4.6× 761 0.6× 638 0.9× 199 13.2k
Thomas S. Edgington United States 65 4.0k 1.6× 2.9k 1.8× 1.2k 0.9× 614 0.5× 343 0.5× 204 14.4k
Robert A. Swerlick United States 36 1.9k 0.8× 1.6k 1.0× 291 0.2× 492 0.4× 808 1.1× 136 6.0k

Countries citing papers authored by Amy S. Rosenberg

Since Specialization
Citations

This map shows the geographic impact of Amy S. Rosenberg'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 Amy S. Rosenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy S. Rosenberg more than expected).

Fields of papers citing papers by Amy S. Rosenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy S. Rosenberg. 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 Amy S. Rosenberg. The network helps show where Amy S. Rosenberg may publish in the future.

Co-authorship network of co-authors of Amy S. Rosenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Amy S. Rosenberg. A scholar is included among the top collaborators of Amy S. Rosenberg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amy S. Rosenberg. Amy S. Rosenberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Haltaufderhyde, Kirk, Brian Roberts, Frances Terry, et al.. (2023). Immunoinformatic Risk Assessment of Host Cell Proteins During Process Development for Biologic Therapeutics. The AAPS Journal. 25(5). 87–87. 10 indexed citations
2.
Choi, Su Jin, John S. Yi, Jeong‐A Lim, et al.. (2023). Successful AAV8 readministration: Suppression of capsid‐specific neutralizing antibodies by a combination treatment of bortezomib and CD20 mAb in a mouse model of Pompe disease. The Journal of Gene Medicine. 25(8). e3509–e3509. 11 indexed citations
5.
Groot, Anne S. De, Amy S. Rosenberg, S. M. Shahjahan Miah, et al.. (2021). Identification of a potent regulatory T cell epitope in factor V that modulates CD4+ and CD8+ memory T cell responses. Clinical Immunology. 224. 108661–108661. 17 indexed citations
8.
Desai, Ankit K., Amy S. Rosenberg, & Priya S. Kishnani. (2020). The potential impact of timing of IVIG administration on the efficacy of rituximab for immune tolerance induction for patients with Pompe disease. Clinical Immunology. 219. 108541–108541. 2 indexed citations
9.
Xu, Lai, Helen Luo, Rong Wang, et al.. (2019). Novel reference genes in colorectal cancer identify a distinct subset of high stage tumors and their associated histologically normal colonic tissues. BMC Medical Genetics. 20(1). 138–138. 17 indexed citations
10.
Rosenberg, Amy S., et al.. (2018). Capnocytophaga spp. infection causing chorioamnionitis: an unusual suspect. Anaerobe. 59. 115–117. 4 indexed citations
11.
Kazi, Zoheb B., et al.. (2017). High dose IVIG successfully reduces high rhGAA IgG antibody titers in a CRIM-negative infantile Pompe disease patient. Molecular Genetics and Metabolism. 122(1-2). 76–79. 11 indexed citations
12.
Xu, Lai, Joseph M. Ziegelbauer, Rong Wang, et al.. (2015). Distinct Profiles for Mitochondrial t-RNAs and Small Nucleolar RNAs in Locally Invasive and Metastatic Colorectal Cancer. Clinical Cancer Research. 22(3). 773–784. 27 indexed citations
13.
Berkson, Julia D., et al.. (2015). Rescue of CD8+ T cell vaccine memory following sublethal γ irradiation. Vaccine. 33(32). 3865–3872. 3 indexed citations
14.
Tsuji, Kazuhide, et al.. (2012). MHC Disparate Resting B Cells Are Tolerogenic in the Absence of Alloantigen-Expressing Dendritic Cells. 2013. 1–8. 1 indexed citations
15.
Banugaria, Suhrad G., Sean N. Prater, Judeth K. McGann, et al.. (2012). Bortezomib in the rapid reduction of high sustained antibody titers in disorders treated with therapeutic protein: lessons learned from Pompe disease. Genetics in Medicine. 15(2). 123–131. 70 indexed citations
16.
Abbott, Mary‐Alice, Sean N. Prater, Suhrad G. Banugaria, et al.. (2011). Atypical immunologic response in a patient with CRIM-negative Pompe disease. Molecular Genetics and Metabolism. 104(4). 583–586. 24 indexed citations
17.
Kishnani, Priya S., Paula Goldenberg, Stephanie DeArmey, et al.. (2009). Cross-reactive immunologic material status affects treatment outcomes in Pompe disease infants. Molecular Genetics and Metabolism. 99(1). 26–33. 285 indexed citations
18.
Bhandoola, Avinash, Xuguang Tai, Michael Eckhaus, et al.. (2002). Peripheral Expression of Self-MHC-II Influences the Reactivity and Self-Tolerance of Mature CD4+ T Cells. Immunity. 17(4). 425–436. 77 indexed citations
19.
Rosenberg, Amy S., et al.. (1994). Assessment of alloreactive T cell subpopulations of aged mice in vivo. CD4+ but not CD8+ T cell‐mediated rejection response declines with advanced age. European Journal of Immunology. 24(6). 1312–1316. 13 indexed citations
20.
Golding, Hana, et al.. (1987). Recognition Requirements for the Activation, Differentiation and Function of T‐Helper Cells Specific for Class I MHC Alloantigens. Immunological Reviews. 98(1). 143–170. 56 indexed citations

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.

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