Zach M. Collins

1.8k total citations · 1 hit paper
6 papers, 693 citations indexed

About

Zach M. Collins is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Zach M. Collins has authored 6 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in Zach M. Collins's work include Neuroscience and Neuropharmacology Research (3 papers), Zebrafish Biomedical Research Applications (2 papers) and Neural dynamics and brain function (2 papers). Zach M. Collins is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Zebrafish Biomedical Research Applications (2 papers) and Neural dynamics and brain function (2 papers). Zach M. Collins collaborates with scholars based in United States, France and Indonesia. Zach M. Collins's co-authors include Sean G. Megason, Caleb Weinreb, Daniel E. Wagner, Allon M. Klein, James Briggs, Patrick R. Hof, Chet C. Sherwood, Derek E. Wildman, Tetyana Duka and William G.M. Janssen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Development.

In The Last Decade

Zach M. Collins

6 papers receiving 687 citations

Hit Papers

Single-cell mapping of gene expression landscapes and lin... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers

Zach M. Collins
Comparison fields: 5 of 96
  • Molecular Biology 536
  • Cancer Research 98
  • Cell Biology 96
  • Biophysics 94
  • Cellular and Molecular Neuroscience 60
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Citations per field, relative to Zach M. Collins
Zach M. Collins · 1×
Citations per year, relative to Zach M. Collins
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Countries citing papers authored by Zach M. Collins

Since Specialization
Citations

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

Fields of papers citing papers by Zach M. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zach M. Collins. 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 Zach M. Collins. The network helps show where Zach M. Collins may publish in the future.

Co-authorship network of co-authors of Zach M. Collins

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 2
2
Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo breakdown →
530
3 36
4 7
5 16
6 102

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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