Zach Hensel

1.1k total citations
23 papers, 659 citations indexed

About

Zach Hensel is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Zach Hensel has authored 23 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Infectious Diseases. Recurrent topics in Zach Hensel's work include Bacterial Genetics and Biotechnology (10 papers), Gene Regulatory Network Analysis (9 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Zach Hensel is often cited by papers focused on Bacterial Genetics and Biotechnology (10 papers), Gene Regulatory Network Analysis (9 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Zach Hensel collaborates with scholars based in United States, Portugal and China. Zach Hensel's co-authors include Jie Xiao, Jackson Buss, Carla Coltharp, Tao Huang, Guo Fu, Steven Burgess, Sarvenaz Sarabipour, Humberto Debat, Benjamin Schwessinger and Edward Emmott and has published in prestigious journals such as Physical Review Letters, Nature Communications and PLoS ONE.

In The Last Decade

Zach Hensel

21 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zach Hensel United States	9	344	220	113	86	73	23	659
Alexandre W. Bisson‐Filho United States	15	712 2.1×	569 2.6×	395 3.5×	36 0.4×	3 0.0×	21	1.2k
Wipapat Kladwang United States	25	1.6k 4.6×	124 0.6×	130 1.2×	23 0.3×	18 0.2×	30	1.8k
Hideaki Sugawara Japan	16	390 1.1×	52 0.2×	146 1.3×	4 0.0×	30 0.4×	59	759
Nils B. Becker Germany	18	695 2.0×	115 0.5×	94 0.8×	33 0.4×		50	1.1k
Grigory Sharov United Kingdom	8	722 2.1×	70 0.3×	77 0.7×	53 0.6×	8 0.1×	11	1.1k
J.M. de la Rosa-Trevín Spain	15	613 1.8×	77 0.3×	100 0.9×	87 1.0×	8 0.1×	25	1.2k
José Luis Vilas Spain	12	459 1.3×	56 0.3×	61 0.5×	44 0.5×	6 0.1×	28	867
Pascal Lill Germany	7	675 2.0×	75 0.3×	83 0.7×	31 0.4×	3 0.0×	12	991
Vahid Abrishami Spain	12	398 1.2×	51 0.2×	64 0.6×	64 0.7×	6 0.1×	20	778
Rafael Núñez‐Ramírez Spain	16	825 2.4×	196 0.9×	167 1.5×	35 0.4×	1 0.0×	27	1.3k

Countries citing papers authored by Zach Hensel

Since Specialization

Citations

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

Fields of papers citing papers by Zach Hensel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zach Hensel

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

All Works

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20 of 20 papers shown

Cairrão, Fátima, Juanma Ramírez, Nerea Osinalde, et al.. (2025). Fbxo42 promotes the degradation of Ataxin-2 granules to trigger terminal Xbp1 signaling. Nature Communications. 16(1). 7523–7523.

Débarre, Florence & Zach Hensel. (2025). Theories of the origin of SARS-CoV-2 in the light of its continuing evolution. Comptes Rendus Biologies. 348(G1). 189–209.

Hensel, Zach. (2025). Secondary structure of the SARS-CoV-2 genome is predictive of nucleotide substitution frequency. eLife. 13. 1 indexed citations

Pekar, Jonathan E., Niema Moshiri, Philippe Lemey, et al.. (2025). Recently reported SARS-CoV-2 genomes suggested to be intermediate between the two early main lineages are instead likely derived. Virus Evolution. 11(1). veaf008–veaf008. 2 indexed citations

Débarre, Florence & Zach Hensel. (2025). A Critical Reexamination of Recovered SARS-CoV-2 Sequencing Data. Molecular Biology and Evolution. 42(6). 3 indexed citations

Schäper, Simon, Bruno M. Saraiva, Georgia R. Squyres, et al.. (2024). Cell constriction requires processive septal peptidoglycan synthase movement independent of FtsZ treadmilling in Staphylococcus aureus. Nature Microbiology. 9(4). 1049–1063. 19 indexed citations

Hensel, Zach. (2024). Secondary structure of the SARS-CoV-2 genome is predictive of nucleotide substitution frequency. eLife. 13. 2 indexed citations

Zimmermann, Liv, Moritz Wachsmuth-Melm, Vibhu Prasad, et al.. (2023). SARS-CoV-2 nsp3 and nsp4 are minimal constituents of a pore spanning replication organelle. Nature Communications. 14(1). 7894–7894. 46 indexed citations

Sarabipour, Sarvenaz, Humberto Debat, Edward Emmott, et al.. (2019). On the value of preprints: An early career researcher perspective. PLoS Biology. 17(2). e3000151–e3000151. 106 indexed citations

10.

Fang, Xiaona, Qiong Liu, Christopher H. Bohrer, et al.. (2018). Cell fate potentials and switching kinetics uncovered in a classic bistable genetic switch. Nature Communications. 9(1). 2787–2787. 34 indexed citations

11.

Hensel, Zach. (2017). A plasmid-based Escherichia coli gene expression system with cell-to-cell variation below the extrinsic noise limit. PLoS ONE. 12(10). e0187259–e0187259. 8 indexed citations

12.

Hensel, Zach, Xiaona Fang, & Jie Xiao. (2013). Single-molecule Imaging of Gene Regulation <em>In vivo</em> Using Cotranslational Activation by Cleavage (CoTrAC). Journal of Visualized Experiments. e50042–e50042. 3 indexed citations

13.

Hensel, Zach, et al.. (2013). Transcription-Factor-Mediated DNA Looping Probed by High-Resolution, Single-Molecule Imaging in Live E. coli Cells. PLoS Biology. 11(6). e1001591–e1001591. 46 indexed citations

14.

Hensel, Zach & Jie Xiao. (2013). Single-molecule methods for studying gene regulation in vivo. Pflügers Archiv - European Journal of Physiology. 465(3). 383–395. 3 indexed citations

15.

Xiao, Jie, Zach Hensel, Haidong Feng, Bo Han, & Jin Wang. (2012). Stochastic Properties of Transcription Factor Expression Revealed by Single-Molecule Noise Analysis. Biophysical Journal. 102(3). 383a–383a. 1 indexed citations

16.

Hensel, Zach, Haidong Feng, Bo Han, et al.. (2012). Stochastic expression dynamics of a transcription factor revealed by single-molecule noise analysis. Nature Structural & Molecular Biology. 19(8). 797–802. 43 indexed citations

17.

Feng, Haidong, Zach Hensel, Jie Xiao, & Jin Wang. (2012). Analytical calculation of protein production distributions in models of clustered protein expression. Physical Review E. 85(3). 31904–31904. 6 indexed citations

18.

Buss, Jackson, et al.. (2011). In Vivo Structure of the E. coli FtsZ-Ring Revealed by Photoactivated Localization Microscopy (PALM). Biophysical Journal. 100(3). 615a–615a. 6 indexed citations

19.

Hensel, Zach & Jie Xiao. (2009). A Mechanism for Stochastic Decision Making by Bacteria. ChemBioChem. 10(6). 974–976. 3 indexed citations

20.

Barry, Edward, Zach Hensel, Zvonimir Dogic, Michael Shribak, & Rudolf Oldenbourg. (2006). Entropy-Driven Formation of a Chiral Liquid-Crystalline Phase of Helical Filaments. Physical Review Letters. 96(1). 18305–18305. 78 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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