John S. Hawkins

4.2k total citations · 1 hit paper
16 papers, 1.7k citations indexed

About

John S. Hawkins is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, John S. Hawkins has authored 16 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Cell Biology. Recurrent topics in John S. Hawkins's work include CRISPR and Genetic Engineering (10 papers), Bacterial Genetics and Biotechnology (5 papers) and Zebrafish Biomedical Research Applications (4 papers). John S. Hawkins is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), Bacterial Genetics and Biotechnology (5 papers) and Zebrafish Biomedical Research Applications (4 papers). John S. Hawkins collaborates with scholars based in United States, Chile and Canada. John S. Hawkins's co-authors include Carol A. Gross, Jason M. Peters, Lei S. Qi, Jonathan S. Weissman, Byoung‐Mo Koo, Marius Wernig, Candy H. S. Lu, Alexandre Colavin, Kerwyn Casey Huang and Handuo Shi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

John S. Hawkins

15 papers receiving 1.6k 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.

A Comprehensive, CRISPR-based Functional Analysis of Essential Genes in Bacteria

2016 512 citations Jason M. Peters, Alexandre Colavin et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John S. Hawkins United States	12	1.4k	450	141	129	115	16	1.7k
Aline Fiebig‐Comyn Canada	16	1.1k 0.8×	153 0.3×	93 0.7×	79 0.6×	90 0.8×	26	1.7k
Hideaki Tagami Japan	25	3.4k 2.4×	670 1.5×	111 0.8×	41 0.3×	294 2.6×	31	3.8k
Christian Frech Germany	21	782 0.5×	103 0.2×	39 0.3×	27 0.2×	67 0.6×	57	1.5k
Carsten W. Lederer Cyprus	19	769 0.5×	246 0.5×	60 0.4×	11 0.1×	70 0.6×	52	1.8k
Elena B. Porro United States	7	1.1k 0.8×	145 0.3×	28 0.2×	28 0.2×	349 3.0×	8	1.4k
Emma W Vaimberg United States	6	2.9k 2.0×	468 1.0×	19 0.1×	16 0.1×	165 1.4×	6	3.4k
Xian‐Yang Zhang United States	17	1.1k 0.7×	424 0.9×	24 0.2×	11 0.1×	57 0.5×	25	1.4k
Yuji Masuda Japan	27	1.3k 0.9×	262 0.6×	90 0.6×	6 0.0×	135 1.2×	52	1.6k
Vesela Encheva United Kingdom	22	1.3k 0.9×	206 0.5×	41 0.3×	8 0.1×	153 1.3×	33	1.7k
Jimmy Larsson Sweden	14	323 0.2×	103 0.2×	24 0.2×	44 0.3×	98 0.9×	19	575

Countries citing papers authored by John S. Hawkins

Since Specialization

Citations

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

Fields of papers citing papers by John S. Hawkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Hawkins. 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 John S. Hawkins. The network helps show where John S. Hawkins may publish in the future.

Co-authorship network of co-authors of John S. Hawkins

This figure shows the co-authorship network connecting the top 25 collaborators of John S. Hawkins. A scholar is included among the top collaborators of John S. Hawkins 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 John S. Hawkins. John S. Hawkins 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

Churchill, Jennifer D., August E. Woerner, Jonathan L. King, John S. Hawkins, & Michael D. Coble. (2025). Developmental validation of a whole genome sequencing workflow for use in a forensic laboratory. Forensic Science International Genetics. 81. 103380–103380.

Koo, Byoung‐Mo, Horia Todor, Jiawei Sun, et al.. (2025). Comprehensive genetic interaction analysis of the Bacillus subtilis envelope using double-CRISPRi. Cell Systems. 16(11). 101406–101406. 1 indexed citations

Gestel, Jordi van, John S. Hawkins, Horia Todor, & Carol A. Gross. (2021). Computational pipeline for designing guide RNAs for mismatch-CRISPRi. STAR Protocols. 2(2). 100521–100521. 9 indexed citations

Jost, Marco, Reuben A. Saunders, Max A. Horlbeck, et al.. (2020). Titrating gene expression using libraries of systematically attenuated CRISPR guide RNAs. Nature Biotechnology. 38(3). 355–364. 111 indexed citations

Hawkins, John S., Melanie R. Silvis, Byoung‐Mo Koo, et al.. (2020). Mismatch-CRISPRi Reveals the Co-varying Expression-Fitness Relationships of Essential Genes in Escherichia coli and Bacillus subtilis. Cell Systems. 11(5). 523–535.e9. 81 indexed citations

Peters, Jason M., Byoung‐Mo Koo, Ramiro Patino, et al.. (2018). Enabling genetic analysis of diverse bacteria with Mobile-CRISPRi. Nature Microbiology. 4(2). 244–250. 162 indexed citations

Morales, Blanca M., John S. Hawkins, Carlos O. Lizama, et al.. (2017). Fluorescent tagged episomals for stoichiometric induced pluripotent stem cell reprogramming. Stem Cell Research & Therapy. 8(1). 132–132. 10 indexed citations

Jiang, Xuan, John S. Hawkins, Jerry Lee, et al.. (2017). Let-7 microRNA-dependent control of leukotriene signaling regulates the transition of hematopoietic niche in mice. Nature Communications. 8(1). 128–128. 11 indexed citations

Peters, Jason M., Alexandre Colavin, Handuo Shi, et al.. (2016). A Comprehensive, CRISPR-based Functional Analysis of Essential Genes in Bacteria. Cell. 165(6). 1493–1506. 512 indexed citations breakdown →

10.

Lizama, Carlos O., et al.. (2015). Emergence of hematopoietic stem and progenitor cells involves a Chd1-dependent increase in total nascent transcription. Proceedings of the National Academy of Sciences. 112(14). E1734–43. 34 indexed citations

11.

Hawkins, John S., et al.. (2015). Targeted Transcriptional Repression in Bacteria Using CRISPR Interference (CRISPRi). Methods in molecular biology. 1311. 349–362. 48 indexed citations

12.

Peters, Jason M., Melanie R. Silvis, Dehua Zhao, et al.. (2015). Bacterial CRISPR: accomplishments and prospects. Current Opinion in Microbiology. 27. 121–126. 64 indexed citations

13.

Lizama, Carlos O., John S. Hawkins, Frank L. Bos, et al.. (2015). Repression of arterial genes in hemogenic endothelium is sufficient for haematopoietic fate acquisition. Nature Communications. 6(1). 7739–7739. 103 indexed citations

14.

Bos, Frank L., John S. Hawkins, & Ann C. Zovein. (2015). Single-cell resolution of morphological changes in hemogenic endothelium. Development. 142(15). 2719–2724. 25 indexed citations

15.

Yang, Nan, J. Bradley Zuchero, Henrik Ahlenius, et al.. (2013). Generation of oligodendroglial cells by direct lineage conversion. Nature Biotechnology. 31(5). 434–439. 242 indexed citations

16.

Sebastiano, Vittorio, Morgan L. Maeder, Cyd Khayter, et al.. (2011). In Situ Genetic Correction of the Sickle Cell Anemia Mutation in Human Induced Pluripotent Stem Cells Using Engineered Zinc Finger Nucleases. Stem Cells. 29(11). 1717–1726. 242 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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