Daryl M. Gohl

4.4k total citations · 2 hit papers
48 papers, 2.5k citations indexed

About

Daryl M. Gohl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, Daryl M. Gohl has authored 48 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 11 papers in Ecology. Recurrent topics in Daryl M. Gohl's work include Neurobiology and Insect Physiology Research (13 papers), CRISPR and Genetic Engineering (8 papers) and Genomics and Phylogenetic Studies (7 papers). Daryl M. Gohl is often cited by papers focused on Neurobiology and Insect Physiology Research (13 papers), CRISPR and Genetic Engineering (8 papers) and Genomics and Phylogenetic Studies (7 papers). Daryl M. Gohl collaborates with scholars based in United States, Switzerland and France. Daryl M. Gohl's co-authors include Marion Silies, Kenneth B. Beckman, Dan Knights, Thomas R. Clandinin, Aaron Becker, John Garbe, Trevor J. Gould, Jonathan B. Clayton, Timothy J. Johnson and Pajau Vangay and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Daryl M. Gohl

45 papers receiving 2.5k citations

Hit Papers

Systematic improvement of amplicon marker gene methods fo... 2012 2026 2016 2021 2016 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daryl M. Gohl United States 23 1.2k 891 475 435 358 48 2.5k
Mads F. Bertelsen Denmark 31 1.1k 0.9× 282 0.3× 630 1.3× 797 1.8× 345 1.0× 217 4.0k
Peng Shi China 27 1.5k 1.3× 570 0.6× 761 1.6× 437 1.0× 466 1.3× 79 3.5k
Michael J. McDonald Australia 25 1.2k 1.0× 426 0.5× 1.2k 2.5× 365 0.8× 228 0.6× 44 3.1k
Wen Huang United States 37 1.2k 1.0× 424 0.5× 1.7k 3.5× 281 0.6× 349 1.0× 114 3.4k
Paul D. Cooper Australia 23 399 0.3× 247 0.3× 520 1.1× 396 0.9× 376 1.1× 116 2.4k
Ian Dunn United Kingdom 36 825 0.7× 305 0.3× 1.1k 2.3× 355 0.8× 579 1.6× 147 4.5k
Richard Talbot United Kingdom 34 1.1k 0.9× 242 0.3× 908 1.9× 347 0.8× 469 1.3× 78 3.6k
Stuart D. Armstrong United Kingdom 25 442 0.4× 294 0.3× 220 0.5× 215 0.5× 265 0.7× 55 2.0k
I. Fairweather United Kingdom 50 860 0.7× 1.0k 1.2× 174 0.4× 3.6k 8.3× 329 0.9× 242 8.5k
Huabin Zhao China 26 908 0.8× 187 0.2× 425 0.9× 295 0.7× 525 1.5× 85 2.3k

Countries citing papers authored by Daryl M. Gohl

Since Specialization
Citations

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

Fields of papers citing papers by Daryl M. Gohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daryl M. Gohl

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

All Works

20 of 20 papers shown
2.
Tan, Asako, Senthil K. Murugapiran, F W Hyde, et al.. (2023). Rational probe design for efficient rRNA depletion and improved metatranscriptomic analysis of human microbiomes. BMC Microbiology. 23(1). 299–299. 2 indexed citations
3.
Hughes, Riley, Cara L. Frankenfeld, Daryl M. Gohl, et al.. (2023). Methods in Nutrition & Gut Microbiome Research: An American Society for Nutrition Satellite Session [13 October 2022]. Nutrients. 15(11). 2451–2451. 3 indexed citations
4.
Holm, Inge, Luisa Nardini, Adrien Pain, et al.. (2022). Comprehensive Genomic Discovery of Non-Coding Transcriptional Enhancers in the African Malaria Vector Anopheles coluzzii. Frontiers in Genetics. 12. 785934–785934. 2 indexed citations
5.
Gohl, Daryl M., Benjamin Auch, Brice Le François, et al.. (2021). Dissecting and tuning primer editing by proofreading polymerases. Nucleic Acids Research. 49(15). e87–e87. 8 indexed citations
6.
Gohl, Daryl M., John Garbe, Patrick G. S. Grady, et al.. (2020). A rapid, cost-effective tailed amplicon method for sequencing SARS-CoV-2. BMC Genomics. 21(1). 57 indexed citations
7.
Minato, Yusuke, Daryl M. Gohl, Joshua M. Thiede, et al.. (2019). Genomewide Assessment of Mycobacterium tuberculosis Conditionally Essential Metabolic Pathways. mSystems. 4(4). 70 indexed citations
8.
Nardini, Luisa, Inge Holm, Adrien Pain, et al.. (2019). Influence of genetic polymorphism on transcriptional enhancer activity in the malaria vector Anopheles coluzzii. Scientific Reports. 9(1). 15275–15275. 7 indexed citations
9.
Gohl, Daryl M., Alessandro Magli, John Garbe, et al.. (2019). Measuring sequencer size bias using REcount: a novel method for highly accurate Illumina sequencing-based quantification. Genome biology. 20(1). 85–85. 22 indexed citations
10.
Honjo, Ken, Tomoko Ohyama, Daryl M. Gohl, et al.. (2018). Nociceptive interneurons control modular motor pathways to promote escape behavior in Drosophila. eLife. 7. 72 indexed citations
11.
Song, Zewei, et al.. (2018). Run-to-Run Sequencing Variation Can Introduce Taxon-Specific Bias in the Evaluation of Fungal Microbiomes. Phytobiomes Journal. 2(3). 165–170. 12 indexed citations
12.
Gohl, Daryl M., et al.. (2018). Diverse populations of local interneurons integrate into the Drosophila adult olfactory circuit. Nature Communications. 9(1). 2232–2232. 22 indexed citations
13.
Rawson, Jonathan, Daryl M. Gohl, Sean R. Landman, et al.. (2017). Single-Strand Consensus Sequencing Reveals that HIV Type but not Subtype Significantly Impacts Viral Mutation Frequencies and Spectra. Journal of Molecular Biology. 429(15). 2290–2307. 10 indexed citations
14.
Belda, Eugeni, Boubacar Coulibaly, Abdrahamane Fofana, et al.. (2017). Preferential suppression of Anopheles gambiae host sequences allows detection of the mosquito eukaryotic microbiome. Scientific Reports. 7(1). 3241–3241. 35 indexed citations
15.
Kanca, Oguz, David Requena, Fisun Hamaratoǧlu, et al.. (2015). Establishment of a Developmental Compartment Requires Interactions between Three Synergistic Cis-regulatory Modules. PLoS Genetics. 11(10). e1005376–e1005376. 17 indexed citations
16.
Walther-António, Marina, Daryl M. Gohl, Kenneth B. Beckman, et al.. (2015). Persistent microbial dysbiosis in preterm premature rupture of membranes from onset until delivery. PeerJ. 3. e1398–e1398. 58 indexed citations
17.
Fisher, Yvette E., et al.. (2015). A Class of Visual Neurons with Wide-Field Properties Is Required for Local Motion Detection. Current Biology. 25(24). 3178–3189. 39 indexed citations
18.
Clark, Damon A., James E. Fitzgerald, Justin M. Ales, et al.. (2014). Flies and humans share a motion estimation strategy that exploits natural scene statistics. Nature Neuroscience. 17(2). 296–303. 67 indexed citations
19.
Silies, Marion, Daryl M. Gohl, Yvette E. Fisher, et al.. (2013). Modular Use of Peripheral Input Channels Tunes Motion-Detecting Circuitry. Neuron. 79(1). 111–127. 100 indexed citations
20.
Gohl, Daryl M., Marion Silies, Xiaojing Gao, et al.. (2011). A versatile in vivo system for directed dissection of gene expression patterns. Nature Methods. 8(3). 231–237. 147 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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