Laura Spector

538 total citations
10 papers, 361 citations indexed

About

Laura Spector is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Laura Spector has authored 10 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Genetics. Recurrent topics in Laura Spector's work include Monoclonal and Polyclonal Antibodies Research (5 papers), CRISPR and Genetic Engineering (4 papers) and Protein purification and stability (4 papers). Laura Spector is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), CRISPR and Genetic Engineering (4 papers) and Protein purification and stability (4 papers). Laura Spector collaborates with scholars based in United States, Norway and United Kingdom. Laura Spector's co-authors include Mark A. Kay, Nicole K. Paulk, K M Gaensler, Yun Shi, Yuanhua Huang, Adi Barzel, Matthew H. Porteus, Paul N. Valdmanis, K. Chu and Michèle P. Calos and has published in prestigious journals such as Nature, Nucleic Acids Research and Scientific Reports.

In The Last Decade

Laura Spector

10 papers receiving 354 citations

Peers

Laura Spector

MB

GENET

ONCOL

CMN

ID

Imge Hulur United States

Matthew Mendel United States

Devin Brown United States

Winston Chang United States

Stacy A. Maitland United States

Oleg Tolmachov United Kingdom

Bony De Kumar United States

Emily C. Troiano United States

Thomas R. Sundermeier United States

Vadim Khaychuk United States

Imge Hulur United States

Laura Spector

351 ×1.2

MB

167 ×1.0

GENET

52 ×1.1

ONCOL

27 ×0.6

CMN

19 ×0.7

ID

Citations per year, relative to Laura Spector Laura Spector (= 1×) peers Imge Hulur

Countries citing papers authored by Laura Spector

Since Specialization

Citations

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

Fields of papers citing papers by Laura Spector

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Spector

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

All Works

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10 of 10 papers shown

1.

Teixeira, André A., David Knight, Roberto Di Niro, et al.. (2025). Developing drug-like single-domain antibodies (VHH) from in vitro libraries. mAbs. 17(1). 2516676–2516676. 2 indexed citations

2.

Ferrara, Fortunato, André A. Teixeira, Sara D’Angelo, et al.. (2024). A next-generation Fab library platform directly yielding drug-like antibodies with high affinity, diversity, and developability. mAbs. 16(1). 2394230–2394230. 1 indexed citations

3.

Ferrara, Fortunato, Sara D’Angelo, Laura Spector, et al.. (2023). Insights into next generation sequencing guided antibody selection strategies. Scientific Reports. 13(1). 18370–18370. 12 indexed citations

4.

Ferrara, Fortunato, Sara D’Angelo, André A. Teixeira, et al.. (2023). Determining the affinities of high-affinity antibodies using KinExA and surface plasmon resonance. mAbs. 15(1). 2291209–2291209. 7 indexed citations

5.

Ferrara, Fortunato, Sara D’Angelo, André A. Teixeira, et al.. (2022). Pandemic’s silver lining. mAbs. 14(1). 2133666–2133666. 1 indexed citations

6.

Teixeira, André A., Sara D’Angelo, Fortunato Ferrara, et al.. (2022). Simultaneous affinity maturation and developability enhancement using natural liability-free CDRs. mAbs. 14(1). 2115200–2115200. 10 indexed citations

7.

Spector, Laura, Matthew Tiffany, Nicole M. Ferraro, et al.. (2020). Evaluating the Genomic Parameters Governing rAAV-Mediated Homologous Recombination. Molecular Therapy. 29(3). 1028–1046. 9 indexed citations

8.

Geisinger, Jonathan M., et al.. (2016). In vivo blunt-end cloning through CRISPR/Cas9-facilitated non-homologous end-joining. Nucleic Acids Research. 44(8). e76–e76. 69 indexed citations

9.

Barzel, Adi, Nicole K. Paulk, Yun Shi, et al.. (2014). Promoterless gene targeting without nucleases ameliorates haemophilia B in mice. Nature. 517(7534). 360–364. 198 indexed citations

10.

Shearin, Harold, et al.. (2014). Hexameric GFP and mCherry Reporters for the Drosophila GAL4, Q, and LexA Transcription Systems. Genetics. 196(4). 951–960. 52 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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