Emma W Vaimberg

6.3k total citations · 2 hit papers
6 papers, 3.4k citations indexed

About

Emma W Vaimberg is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Safety Research. According to data from OpenAlex, Emma W Vaimberg has authored 6 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Pediatrics, Perinatology and Child Health and 1 paper in Safety Research. Recurrent topics in Emma W Vaimberg's work include CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (3 papers) and Gene Regulatory Network Analysis (2 papers). Emma W Vaimberg is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (3 papers) and Gene Regulatory Network Analysis (2 papers). Emma W Vaimberg collaborates with scholars based in United States and China. Emma W Vaimberg's co-authors include David E. Root, John G. Doench, Katherine Donovan, Meagan E. Sullender, Mudra Hegde, Nicolò Fusi, Jennifer Listgarten, Herbert W. Virgin, Ian C. P. Smith and Robert C. Orchard and has published in prestigious journals such as Nature Communications, Nature Biotechnology and PLoS ONE.

In The Last Decade

Emma W Vaimberg

6 papers receiving 3.4k citations

Hit Papers

align trajectories sort by overperformance

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.

Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9

2016 2.6k citations John G. Doench, Nicolò Fusi et al. Nature Biotechnology profile →
Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities

2018 505 citations Kendall R Sanson, Ruth E. Hanna et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emma W Vaimberg United States	6	2.9k	468	395	295	256	6	3.4k
Meagan E. Sullender United States	11	4.1k 1.4×	670 1.4×	461 1.2×	386 1.3×	450 1.8×	15	4.8k
Han Xu United States	21	3.1k 1.1×	528 1.1×	403 1.0×	392 1.3×	187 0.7×	44	3.7k
Mudra Hegde United States	14	4.5k 1.6×	732 1.6×	498 1.3×	365 1.2×	462 1.8×	18	5.1k
Shondra M. Pruett‐Miller United States	32	3.0k 1.0×	717 1.5×	342 0.9×	590 2.0×	167 0.7×	97	3.8k
James K. Nuñez United States	12	3.3k 1.1×	620 1.3×	168 0.4×	159 0.5×	253 1.0×	16	3.6k
Nicholas R. Pannunzio United States	14	2.0k 0.7×	350 0.7×	490 1.2×	164 0.6×	339 1.3×	26	2.5k
Jacqueline E. Villalta United States	13	4.2k 1.4×	635 1.4×	270 0.7×	234 0.8×	350 1.4×	16	4.6k
Jeongbin Park South Korea	15	3.4k 1.2×	691 1.5×	330 0.8×	130 0.4×	617 2.4×	30	3.9k
Tokameh Mahmoudi Netherlands	27	2.4k 0.8×	252 0.5×	339 0.9×	383 1.3×	133 0.5×	56	3.2k
Xi Shi China	14	4.4k 1.5×	685 1.5×	678 1.7×	495 1.7×	186 0.7×	30	5.3k

Countries citing papers authored by Emma W Vaimberg

Since Specialization

Citations

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

Fields of papers citing papers by Emma W Vaimberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma W Vaimberg. 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 Emma W Vaimberg. The network helps show where Emma W Vaimberg may publish in the future.

Co-authorship network of co-authors of Emma W Vaimberg

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

All Works

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6 of 6 papers shown

1.

Rees, Matthew G., Lisa Brenan, Patrick Duggan, et al.. (2022). Systematic identification of biomarker-driven drug combinations to overcome resistance. Nature Chemical Biology. 18(6). 615–624. 9 indexed citations

2.

Vaimberg, Emma W, Lindsay Demers, Eric W. Ford, et al.. (2021). Project Inclusive Genetics: Exploring the impact of patient-centered counseling training on physical disability bias in the prenatal setting. PLoS ONE. 16(8). e0255722–e0255722. 8 indexed citations

3.

Sanson, Kendall R, Ruth E. Hanna, Mudra Hegde, et al.. (2018). Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities. Nature Communications. 9(1). 5416–5416. 505 indexed citations breakdown →

4.

Donovan, Katherine, Mudra Hegde, Meagan E. Sullender, et al.. (2017). Creation of Novel Protein Variants with CRISPR/Cas9-Mediated Mutagenesis: Turning a Screening By-Product into a Discovery Tool. PLoS ONE. 12(1). e0170445–e0170445. 39 indexed citations

5.

Najm, Fadi J., Christine Strand, Katherine Donovan, et al.. (2017). Orthologous CRISPR–Cas9 enzymes for combinatorial genetic screens. Nature Biotechnology. 36(2). 179–189. 182 indexed citations

6.

Doench, John G., Nicolò Fusi, Meagan E. Sullender, et al.. (2016). Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9. Nature Biotechnology. 34(2). 184–191. 2646 indexed citations breakdown →

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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