Matthew McNeill

3.2k total citations · 1 hit paper
16 papers, 1.0k citations indexed

About

Matthew McNeill is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Matthew McNeill has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Matthew McNeill's work include CRISPR and Genetic Engineering (6 papers), RNA regulation and disease (2 papers) and Insect and Arachnid Ecology and Behavior (2 papers). Matthew McNeill is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), RNA regulation and disease (2 papers) and Insect and Arachnid Ecology and Behavior (2 papers). Matthew McNeill collaborates with scholars based in United States, Israel and Denmark. Matthew McNeill's co-authors include Garrett R. Rettig, Rolf Turk, Shuqi Yan, Mark A. Behlke, Ashley M. Jacobi, Natalia Gomez‐Ospina, Daniel P. Dever, Christopher A. Vakulskas, Mara Pavel-Dinu and Matthew H. Porteus and has published in prestigious journals such as Nature Medicine, Nature Communications and Cancer Research.

In The Last Decade

Matthew McNeill

16 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A high-fidelity Cas9 mutant delivered as a ribonucleoprotein complex enables efficient gene editing in human hematopoietic stem and progenitor cells

2018 541 citations Christopher A. Vakulskas, Daniel P. Dever et al. Nature Medicine profile →

Peers

Matthew McNeill

GENET

ONCOL

BIM

Miguel A. Moreno-Mateos Spain

Yamila N. Torres Cleuren Norway

Håkon Tjeldnes Norway

Jordan D. Ward United States

Maximilian Krause Norway

Yonatan B. Tzur Israel

Juan Pablo Fernández United States

Aleksandar Vojta Croatia

Joshua A. Baller United States

Miguel A. Moreno-Mateos Spain

Matthew McNeill

1.6k ×1.9

260 ×1.0

GENET

268 ×2.5

48 ×0.5

ONCOL

86 ×1.1

BIM

Citations per year, relative to Matthew McNeill Matthew McNeill (= 1×) peers Miguel A. Moreno-Mateos

Countries citing papers authored by Matthew McNeill

Since Specialization

Citations

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

Fields of papers citing papers by Matthew McNeill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew McNeill

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Magis, Wendy, Mark A. DeWitt, Stacia K. Wyman, et al.. (2022). High-level correction of the sickle mutation is amplified in vivo during erythroid differentiation. iScience. 25(6). 104374–104374. 29 indexed citations

Kurgan, Gavin, Rolf Turk, Heng Li, et al.. (2021). CRISPAltRations: A validated cloud-based approach for interrogation of double-strand break repair mediated by CRISPR genome editing. Molecular Therapy — Methods & Clinical Development. 21. 478–491. 13 indexed citations

Magis, Wendy, Mark A. DeWitt, Stacia K. Wyman, et al.. (2021). High-Level Correction of the Sickle Mutation is Amplified in Vivo During Erythroid Differentiation. SSRN Electronic Journal. 1 indexed citations

Schubert, Mollie S., Bernice Thommandru, Jessica Woodley, et al.. (2021). Optimized design parameters for CRISPR Cas9 and Cas12a homology-directed repair. Scientific Reports. 11(1). 19482–19482. 64 indexed citations

Kurgan, Gavin, Matthew McNeill, Garrett R. Rettig, et al.. (2021). CRISPECTOR provides accurate estimation of genome editing translocation and off-target activity from comparative NGS data. Nature Communications. 12(1). 3042–3042. 26 indexed citations

Jacobi, Ashley M., Matthew McNeill, Rolf Turk, et al.. (2020). Increasing CRISPR Efficiency and Measuring Its Specificity in HSPCs Using a Clinically Relevant System. Molecular Therapy — Methods & Clinical Development. 17. 1097–1107. 42 indexed citations

Vakulskas, Christopher A., Daniel P. Dever, Garrett R. Rettig, et al.. (2018). A high-fidelity Cas9 mutant delivered as a ribonucleoprotein complex enables efficient gene editing in human hematopoietic stem and progenitor cells. Nature Medicine. 24(8). 1216–1224. 541 indexed citations breakdown →

MacConaill, Laura E., Robert Burns, Anwesha Nag, et al.. (2018). Unique, dual-indexed sequencing adapters with UMIs effectively eliminate index cross-talk and significantly improve sensitivity of massively parallel sequencing. BMC Genomics. 19(1). 30–30. 150 indexed citations

McNeill, Matthew, et al.. (2015). Brain regions and molecular pathways responding to food reward type and value in honey bees. Genes Brain & Behavior. 15(3). 305–317. 21 indexed citations

10.

McNeill, Matthew & Gene E. Robinson. (2015). Voxel‐based analysis of the immediate early gene, c‐jun, in the honey bee brain after a sucrose stimulus. Insect Molecular Biology. 24(3). 377–390. 16 indexed citations

11.

Lelais, G., Robert Epple, Pierre‐Yves Michellys, et al.. (2015). Abstract 2585: Discovery of a potent covalent mutant-selective EGFR inhibitor - the journey from high throughput screening to EGF816. Cancer Research. 75(15_Supplement). 2585–2585. 1 indexed citations

12.

Jia, Yong, Jose Juarez, Mari Manuia, et al.. (2014). Abstract 1734: In vitro characterization of EGF816, a third-generation mutant-selective EGFR inhibitor. Cancer Research. 74(19_Supplement). 1734–1734. 4 indexed citations

13.

Decker-Farrell, Amanda R., Matthew McNeill, Ramón A. Lorca, et al.. (2013). Abnormal differentiation of dopaminergic neurons in zebrafish trpm7 mutant larvae impairs development of the motor pattern. Developmental Biology. 386(2). 428–439. 34 indexed citations

14.

McNeill, Matthew, et al.. (2009). A 49-Year-Old Man With Concurrent Diagnoses of Lung Cancer, Sarcoidosis, and Multiple Regions of Adenopathy on Positron Emission Tomography. CHEST Journal. 135(2). 546–549. 8 indexed citations

15.

McNeill, Matthew, et al.. (2007). Cell Death of Melanophores in Zebrafish trpm7 Mutant Embryos Depends on Melanin Synthesis. Journal of Investigative Dermatology. 127(8). 2020–2030. 76 indexed citations

16.

Wilson, Robert, et al.. (1981). Comparative inhibition of nuclear RNA synthesis in cultured mouse leukemia L1210 cells by adriamycin and 4′-epi-adriamycin. Chemico-Biological Interactions. 37(3). 351–363. 7 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.

Explore authors with similar magnitude of impact