Daniela Fera

2.1k total citations · 1 hit paper
9 papers, 868 citations indexed

About

Daniela Fera is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Virology. According to data from OpenAlex, Daniela Fera has authored 9 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Molecular Biology and 5 papers in Virology. Recurrent topics in Daniela Fera's work include Monoclonal and Polyclonal Antibodies Research (6 papers), HIV Research and Treatment (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Daniela Fera is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), HIV Research and Treatment (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Daniela Fera collaborates with scholars based in United States, Poland and United Kingdom. Daniela Fera's co-authors include Ravindra K. Gupta, Túlio de Oliveira, Philip L. Tzou, Janin Nouhin, Sergei L. Kosakovsky Pond, Kaiming Tao, Robert W. Shafer, Aaron G. Schmidt, Emma Parker Miller and Stephen C. Harrison and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Daniela Fera

9 papers receiving 859 citations

Hit Papers

The biological and clinical significance of emerging SARS... 2021 2026 2022 2024 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Fera United States 8 623 248 144 142 124 9 868
Cheila Rocha Germany 13 725 1.2× 221 0.9× 62 0.4× 114 0.8× 178 1.4× 27 943
Kim-Marie A. Dam United States 7 844 1.4× 342 1.4× 225 1.6× 155 1.1× 98 0.8× 11 1.0k
Janin Nouhin Cambodia 15 876 1.4× 227 0.9× 63 0.4× 93 0.7× 278 2.2× 32 1.1k
Bruna Marini Italy 14 735 1.2× 665 2.7× 90 0.6× 118 0.8× 227 1.8× 18 1.4k
Philip L. Tzou United States 12 959 1.5× 309 1.2× 62 0.4× 56 0.4× 265 2.1× 22 1.1k
Yu E. Lee United States 6 1.0k 1.6× 407 1.6× 265 1.8× 206 1.5× 69 0.6× 9 1.2k
Kaiming Tao United States 8 710 1.1× 237 1.0× 62 0.4× 52 0.4× 40 0.3× 13 863
Prudence Kgagudi South Africa 7 685 1.1× 185 0.7× 73 0.5× 69 0.5× 27 0.2× 10 797
Aimée St. Clair Tallarico United States 9 577 0.9× 273 1.1× 269 1.9× 242 1.7× 49 0.4× 10 995
Claudia A. Jette United States 6 826 1.3× 360 1.5× 200 1.4× 129 0.9× 25 0.2× 8 977

Countries citing papers authored by Daniela Fera

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Fera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Fera

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

All Works

9 of 9 papers shown
1.
Tao, Kaiming, Philip L. Tzou, Janin Nouhin, et al.. (2021). The biological and clinical significance of emerging SARS-CoV-2 variants. Nature Reviews Genetics. 22(12). 757–773. 626 indexed citations breakdown →
2.
Miller, Emma Parker, et al.. (2021). A Structural Update of Neutralizing Epitopes on the HIV Envelope, a Moving Target. Viruses. 13(9). 1774–1774. 9 indexed citations
3.
Miller, Emma Parker, et al.. (2021). Structural Analysis of Neutralizing Epitopes of the SARS-CoV-2 Spike to Guide Therapy and Vaccine Design Strategies. Viruses. 13(1). 134–134. 45 indexed citations
5.
Bajic, Goran, Timothy M. Caradonna, Ming Tian, et al.. (2020). Structure-Guided Molecular Grafting of a Complex Broadly Neutralizing Viral Epitope. ACS Infectious Diseases. 6(5). 1182–1191. 15 indexed citations
6.
Nguyen, Diep, et al.. (2020). Identification and Characterization of a B-Raf Kinase α-Helix Critical for the Activity of MEK Kinase in MAPK Signaling. Biochemistry. 59(50). 4755–4765. 4 indexed citations
7.
Fera, Daniela, Kevin Wiehe, Robert Meyerhoff, et al.. (2018). HIV envelope V3 region mimic embodies key features of a broadly neutralizing antibody lineage epitope. Nature Communications. 9(1). 1111–1111. 16 indexed citations
8.
Horwitz, Joshua A., Yotam Bar‐On, Ching-Lan Lu, et al.. (2017). Non-neutralizing Antibodies Alter the Course of HIV-1 Infection In Vivo. Cell. 170(4). 637–648.e10. 95 indexed citations
9.
Fera, Daniela, Aaron G. Schmidt, Barton F. Haynes, et al.. (2014). Affinity maturation in an HIV broadly neutralizing B-cell lineage through reorientation of variable domains. Proceedings of the National Academy of Sciences. 111(28). 10275–10280. 48 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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