Adam Zuiani

3.2k total citations
9 papers, 483 citations indexed

About

Adam Zuiani is a scholar working on Immunology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Adam Zuiani has authored 9 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Infectious Diseases and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Adam Zuiani's work include T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and vaccines and immunoinformatics approaches (2 papers). Adam Zuiani is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and vaccines and immunoinformatics approaches (2 papers). Adam Zuiani collaborates with scholars based in United States, Canada and United Kingdom. Adam Zuiani's co-authors include Michael Diamond, James P. White, Jonathan J. Miner, Matthew J. Gorman, Estefanı́a Fernández, Theodore C. Pierson, Qiang Zhang, Ping Zhang, Sara Cherry and Kimberly A. Dowd and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Biochemistry.

In The Last Decade

Adam Zuiani

9 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Zuiani United States	8	205	203	150	102	70	9	483
Sandra Sparacio Germany	7	199 1.0×	183 0.9×	95 0.6×	135 1.3×	54 0.8×	8	458
Samantha A. Yost United States	7	149 0.7×	141 0.7×	113 0.8×	185 1.8×	35 0.5×	11	525
R.E. Butcher Australia	7	347 1.7×	232 1.1×	120 0.8×	41 0.4×	34 0.5×	8	507
Gabriela Hrebikova United States	12	80 0.4×	209 1.0×	70 0.5×	178 1.7×	82 1.2×	14	512
Daniel X. Johansson Sweden	12	157 0.8×	197 1.0×	183 1.2×	267 2.6×	145 2.1×	15	696
Sudhanshu Vrati India	11	222 1.1×	227 1.1×	65 0.4×	70 0.7×	90 1.3×	15	433
Seleeke Flingai United States	9	67 0.3×	142 0.7×	134 0.9×	78 0.8×	146 2.1×	13	385
Andrew S. Kondratowicz United States	12	167 0.8×	592 2.9×	203 1.4×	267 2.6×	183 2.6×	13	927
Jonathan R. Grover United States	13	120 0.6×	223 1.1×	184 1.2×	87 0.9×	150 2.1×	16	552

Countries citing papers authored by Adam Zuiani

Since Specialization

Citations

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

Fields of papers citing papers by Adam Zuiani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam Zuiani. 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 Adam Zuiani. The network helps show where Adam Zuiani may publish in the future.

Co-authorship network of co-authors of Adam Zuiani

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Zuiani. A scholar is included among the top collaborators of Adam Zuiani 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 Adam Zuiani. Adam Zuiani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Chen, Yuezhou, Pei Tong, Ali Sanjari Moghaddam, et al.. (2022). Immune recall improves antibody durability and breadth to SARS-CoV-2 variants. Science Immunology. 7(78). eabp8328–eabp8328. 34 indexed citations

Zuiani, Adam & Duane R. Wesemann. (2021). Antibody Dynamics and Durability in Coronavirus Disease-19. Clinics in Laboratory Medicine. 42(1). 85–96. 13 indexed citations

Kim, Arthur S., S. Kyle Austin, Christina L. Gardner, et al.. (2018). Protective antibodies against Eastern equine encephalitis virus bind to epitopes in domains A and B of the E2 glycoprotein. Nature Microbiology. 4(1). 187–197. 39 indexed citations

Tong, Pei, Alessandra Granato, Teng Zuo, et al.. (2017). IgH isotype-specific B cell receptor expression influences B cell fate. Proceedings of the National Academy of Sciences. 114(40). E8411–E8420. 17 indexed citations

Zhang, Rong, Jonathan J. Miner, Matthew J. Gorman, et al.. (2016). A CRISPR screen defines a signal peptide processing pathway required by flaviviruses. Nature. 535(7610). 164–168. 287 indexed citations

Zuiani, Adam, Kevin Chen, Megan Schwarz, et al.. (2016). A Library of Infectious Hepatitis C Viruses with Engineered Mutations in the E2 Gene Reveals Growth-Adaptive Mutations That Modulate Interactions with Scavenger Receptor Class B Type I. Journal of Virology. 90(23). 10499–10512. 15 indexed citations

Keck, Zhen–Yong, Christine Girard-Blanc, Wenyan Wang, et al.. (2016). Antibody Response to Hypervariable Region 1 Interferes with Broadly Neutralizing Antibodies to Hepatitis C Virus. Journal of Virology. 90(6). 3112–3122. 56 indexed citations

Kim, Sojung, Adam Zuiani, Javier A. Carrero, & Ted H. Hansen. (2012). Single chain MHC I trimer-based DNA vaccines for protection against Listeria monocytogenes infection. Vaccine. 30(12). 2178–2186. 6 indexed citations

Keates, Robert A. B., et al.. (2010). Transmembrane Helix I and Periplasmic Loop 1 of Escherichia coli ProP Are Involved in Osmosensing and Osmoprotectant Transport. Biochemistry. 49(41). 8847–8856. 16 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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