Stephen J. Goldfless

1.3k total citations
11 papers, 811 citations indexed

About

Stephen J. Goldfless is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Stephen J. Goldfless has authored 11 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 2 papers in Genetics. Recurrent topics in Stephen J. Goldfless's work include CRISPR and Genetic Engineering (4 papers), Mosquito-borne diseases and control (4 papers) and RNA and protein synthesis mechanisms (3 papers). Stephen J. Goldfless is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Mosquito-borne diseases and control (4 papers) and RNA and protein synthesis mechanisms (3 papers). Stephen J. Goldfless collaborates with scholars based in United States. Stephen J. Goldfless's co-authors include Jacquin C. Niles, Jeffrey C. Wagner, Randall J. Platt, Feng Zhang, Alejandra Falla, Suresh M. Ganesan, Armiyaw S. Nasamu, Monica Diez-Silva, Igor V. Pivkin and Jongyoon Han and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Molecular Cell.

In The Last Decade

Stephen J. Goldfless

11 papers receiving 801 citations

Peers

Stephen J. Goldfless
Pontus Nordenfelt Sweden
Bashar Hamza United States
Elisabeth Werkmeister France
Gregory P. McNerney United States
Sabine A. Lauer United States
Uta Haselmann Germany
Sylvie Perrot France
Maria Bernabeu Spain
Gregory H. Leno United States
A M Benoliel France
Pontus Nordenfelt Sweden
Stephen J. Goldfless
Citations per year, relative to Stephen J. Goldfless Stephen J. Goldfless (= 1×) peers Pontus Nordenfelt

Countries citing papers authored by Stephen J. Goldfless

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Goldfless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Goldfless. 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 Stephen J. Goldfless. The network helps show where Stephen J. Goldfless may publish in the future.

Co-authorship network of co-authors of Stephen J. Goldfless

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

All Works

11 of 11 papers shown
1.
Nasamu, Armiyaw S., Alejandra Falla, Charisse Flerida A. Pasaje, et al.. (2021). An integrated platform for genome engineering and gene expression perturbation in Plasmodium falciparum. Scientific Reports. 11(1). 342–342. 21 indexed citations
2.
Carter, Jason A., Jonathan Preall, Kristina Grigaityte, et al.. (2019). Single T Cell Sequencing Demonstrates the Functional Role of αβ TCR Pairing in Cell Lineage and Antigen Specificity. Frontiers in Immunology. 10. 1516–1516. 63 indexed citations
3.
Ganesan, Suresh M., Alejandra Falla, Stephen J. Goldfless, Armiyaw S. Nasamu, & Jacquin C. Niles. (2016). Synthetic RNA–protein modules integrated with native translation mechanisms to control gene expression in malaria parasites. Nature Communications. 7(1). 10727–10727. 111 indexed citations
4.
Wagner, Jeffrey C., Randall J. Platt, Stephen J. Goldfless, Feng Zhang, & Jacquin C. Niles. (2014). Efficient CRISPR/Cas9-mediated genome editing in P. falciparum. PMC. 2 indexed citations
5.
Goldfless, Stephen J., Jeffrey C. Wagner, & Jacquin C. Niles. (2014). Versatile control of Plasmodium falciparum gene expression with an inducible protein–RNA interaction. Nature Communications. 5(1). 5329–5329. 43 indexed citations
6.
Wagner, Jeffrey C., Randall J. Platt, Stephen J. Goldfless, Feng Zhang, & Jacquin C. Niles. (2014). Efficient CRISPR-Cas9–mediated genome editing in Plasmodium falciparum. Nature Methods. 11(9). 915–918. 170 indexed citations
7.
M, Lee, et al.. (2013). Discovery Research Portal (University of Dundee). 16 indexed citations
8.
Goldfless, Stephen J., et al.. (2012). Direct and specific chemical control of eukaryotic translation with a synthetic RNA–protein interaction. Nucleic Acids Research. 40(9). e64–e64. 31 indexed citations
9.
Bow, Hansen, Igor V. Pivkin, Monica Diez-Silva, et al.. (2011). A microfabricated deformability-based flow cytometer with application to malaria. Lab on a Chip. 11(6). 1065–1065. 195 indexed citations
10.
Kang, Jeon Woong, Niyom Lue, Chae-Ryon Kong, et al.. (2011). Combined confocal Raman and quantitative phase microscopy system for biomedical diagnosis. Biomedical Optics Express. 2(9). 2484–2484. 81 indexed citations
11.
Goldfless, Stephen J., et al.. (2006). DNA Repeat Rearrangements Mediated by DnaK-Dependent Replication Fork Repair. Molecular Cell. 21(5). 595–604. 78 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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