John S. Hawkins

4.2k citations
16 papers · 1.7k indexed · 1 hit paper · h-index 12
Topics
CRISPR and Genetic Engineering (10 papers)Bacterial Genetics and Biotechnology (5 papers)Zebrafish Biomedical Research Applications (4 papers)
Partner nations
United StatesChileCanada

In The Last Decade

John S. Hawkins

15 papers receiving 1.6k citations

Hit Papers

A Comprehensive, CRISPR-based Functional Analysis of Esse...20162026201920222016100200300400500

Peers

John S. Hawkins
Comparison fields: 5 of 89
  • Molecular Biology 1.4k
  • Genetics 450
  • Ecology 141
  • Developmental Neuroscience 129
  • Cell Biology 115
Replace Carsten W. Lederer with:
Carsten W. Lederer Cyprus
Ren-Jang Lin United States
Emma W Vaimberg United States
Aline Fiebig‐Comyn Canada
Hideaki Tagami Japan
Shaohua Yao China
Brett K. Kaiser United States
Christian Frech Germany
Matthew C. Canver United States
Moira A. McMahon United States
John S. Hawkins relative to Carsten W. Lederer Cyprus Carsten W. Lederer's profile →
Citations per field
00.5×11.7×
Carsten W. Lederer · 1×
Citations per year

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

16 of 16 papers shown
#WorkIndexed citations
1 0
2 1
3 9
4 111
5 81
6 162
7 11
8 10
9
A Comprehensive, CRISPR-based Functional Analysis of Essential Genes in Bacteriabreakdown →
512
10 34
11 64
12 48
13 103
14 25
15 242
16 242

About John S. Hawkins

John S. Hawkins is a scholar working on Genetics, Cell Biology and Developmental Neuroscience, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Bacterial Genetics and Biotechnology (5 papers) and Zebrafish Biomedical Research Applications (4 papers). The work is most often cited by research in Developmental Neuroscience (129 citations), Business and International Management (43 citations) and Molecular Biology (1.4k citations). John S. Hawkins has collaborated with scholars based in United States, Chile and Canada. Frequent co-authors include Carol A. Gross, Jason M. Peters, Lei S. Qi, Jonathan S. Weissman, Byoung‐Mo Koo, Marius Wernig, Candy H. S. Lu, Anthony L. Shiver, Eric D. Brown and Evan H. Whitehead. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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