David Huss

3.1k total citations · 1 hit paper
45 papers, 2.2k citations indexed

About

David Huss is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, David Huss has authored 45 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Genetics and 9 papers in Immunology. Recurrent topics in David Huss's work include Animal Genetics and Reproduction (12 papers), CRISPR and Genetic Engineering (6 papers) and Hearing, Cochlea, Tinnitus, Genetics (6 papers). David Huss is often cited by papers focused on Animal Genetics and Reproduction (12 papers), CRISPR and Genetic Engineering (6 papers) and Hearing, Cochlea, Tinnitus, Genetics (6 papers). David Huss collaborates with scholars based in United States, France and Japan. David Huss's co-authors include Rusty Lansford, Greg Poynter, J. David Dickman, Michael K. Racke, Amy E. Lovett‐Racke, Yuhong Yang, Haiyan Peng, Mark E. Warchol, Ryan C. Winger and Jason D. Fontenot and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

David Huss

45 papers receiving 2.1k citations

Hit Papers

RNA editing: Expanding the potential of RNA therapeutics 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Huss United States 24 1.0k 534 330 293 270 45 2.2k
Shigeru Sato Japan 29 1.6k 1.6× 256 0.5× 344 1.0× 119 0.4× 412 1.5× 85 2.8k
Donald E. Born United States 30 822 0.8× 253 0.5× 161 0.5× 176 0.6× 131 0.5× 73 3.2k
Michiko Saito Japan 20 740 0.7× 255 0.5× 219 0.7× 106 0.4× 511 1.9× 66 2.3k
Hitoshi Miyachi Japan 25 1.9k 1.9× 589 1.1× 477 1.4× 222 0.8× 163 0.6× 65 3.0k
Eirik Frengen Norway 23 1.6k 1.6× 308 0.6× 822 2.5× 354 1.2× 127 0.5× 72 2.6k
Valery I. Shestopalov United States 32 2.2k 2.1× 345 0.6× 181 0.5× 76 0.3× 154 0.6× 78 3.5k
Stephen K. Doberstein United States 16 1.2k 1.2× 600 1.1× 103 0.3× 288 1.0× 550 2.0× 29 2.6k
Sarah B. Pierce United States 25 2.8k 2.8× 192 0.4× 430 1.3× 193 0.7× 455 1.7× 32 4.0k
Christian Becker Germany 33 2.1k 2.0× 358 0.7× 907 2.7× 87 0.3× 279 1.0× 59 3.9k
Bram Van de Sande Belgium 11 1.2k 1.2× 418 0.8× 168 0.5× 275 0.9× 98 0.4× 11 2.0k

Countries citing papers authored by David Huss

Since Specialization
Citations

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

Fields of papers citing papers by David Huss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Huss

This figure shows the co-authorship network connecting the top 25 collaborators of David Huss. A scholar is included among the top collaborators of David Huss 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 David Huss. David Huss 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
1.
Minn, Il, David Huss, Hye-Hyun Ahn, et al.. (2019). Imaging CAR T cell therapy with PSMA-targeted positron emission tomography. Science Advances. 5(7). eaaw5096–eaaw5096. 89 indexed citations
2.
Jiménez-Gómez, Andrés, Alfred Balasa, David Huss, et al.. (2019). Phenotypic characterization of individuals with SYNGAP1 pathogenic variants reveals a potential correlation between posterior dominant rhythm and developmental progression. Journal of Neurodevelopmental Disorders. 11(1). 18–18. 42 indexed citations
3.
Bénazéraf, Bertrand, et al.. (2017). Multiscale quantification of tissue behavior during amniote embryo axis elongation. Development. 144(23). 4462–4472. 42 indexed citations
4.
Huss, David & Rusty Lansford. (2017). Fluorescent Quail: A Transgenic Model System for the Dynamic Study of Avian Development. Methods in molecular biology. 1650. 125–147. 5 indexed citations
5.
Huss, David, Harry M. T. Choi, Carol Readhead, et al.. (2015). Combinatorial Analysis of mRNA Expression Patterns in Mouse Embryos Using Hybridization Chain Reaction. Cold Spring Harbor Protocols. 2015(3). pdb.prot083832–pdb.prot083832. 16 indexed citations
6.
Welsh, Ian, Aravind Sivakumar, David W. Gludish, et al.. (2014). The Left-Right Pitx2 Pathway Drives Organ-Specific Arterial and Lymphatic Development in the Intestine. Developmental Cell. 31(6). 690–706. 87 indexed citations
7.
Seidl, Armin H., Jason Tait Sanchez, Leslayann Schecterson, et al.. (2012). Transgenic quail as a model for research in the avian nervous system: A comparative study of the auditory brainstem. The Journal of Comparative Neurology. 521(1). 5–23. 30 indexed citations
8.
Huss, David, Ryan C. Winger, Gina Mavrikis Cox, et al.. (2011). TGF‐β signaling via Smad4 drives IL‐10 production in effector Th1 cells and reduces T‐cell trafficking in EAE. European Journal of Immunology. 41(10). 2987–2996. 39 indexed citations
9.
Huss, David, Ryan C. Winger, Haiyan Peng, et al.. (2010). TGF-β Enhances Effector Th1 Cell Activation but Promotes Self-Regulation via IL-10. The Journal of Immunology. 184(10). 5628–5636. 38 indexed citations
10.
Huss, David, et al.. (2010). Development of otolith receptors in Japanese quail. Developmental Neurobiology. 70(6). 436–455. 6 indexed citations
11.
Sato, Yuki, Greg Poynter, David Huss, et al.. (2010). Dynamic Analysis of Vascular Morphogenesis Using Transgenic Quail Embryos. PLoS ONE. 5(9). e12674–e12674. 123 indexed citations
12.
Poynter, Greg, David Huss, & Rusty Lansford. (2009). Generation of High-Titer Lentivirus for the Production of Transgenic Quail. Cold Spring Harbor Protocols. 2009(1). pdb.prot5117–pdb.prot5117. 8 indexed citations
13.
Poynter, Greg, David Huss, & Rusty Lansford. (2009). Japanese Quail: An Efficient Animal Model for the Production of Transgenic Avians. Cold Spring Harbor Protocols. 2009(1). pdb.emo112–pdb.emo112. 52 indexed citations
14.
Huss, David, et al.. (2008). Examining the Stress Response and Recovery Among Children With Migraine. Journal of Pediatric Psychology. 34(7). 707–715. 17 indexed citations
15.
Montcouquiol, Mireille, Nathalie Sans, David Huss, et al.. (2006). Asymmetric Localization of Vangl2 and Fz3 Indicate Novel Mechanisms for Planar Cell Polarity in Mammals. Journal of Neuroscience. 26(19). 5265–5275. 260 indexed citations
16.
Huss, David, et al.. (2006). Afferent Innervation Patterns of the Pigeon Horizontal Crista Ampullaris. Journal of Neurophysiology. 96(6). 3293–3304. 9 indexed citations
17.
Blasiole, Brian, Victor A. Canfield, Melissa A. Vollrath, et al.. (2006). Separate Na,K-ATPase genes are required for otolith formation and semicircular canal development in zebrafish. Developmental Biology. 294(1). 148–160. 39 indexed citations
18.
Hughes, Inna, Brian Blasiole, David Huss, et al.. (2004). Otopetrin 1 is required for otolith formation in the zebrafish Danio rerio. Developmental Biology. 276(2). 391–402. 98 indexed citations
19.
Matsui, Jonathan I., David Huss, Elizabeth Messana, et al.. (2003). Caspase Inhibitors Promote Vestibular Hair Cell Survival and Function after Aminoglycoside TreatmentIn Vivo. Journal of Neuroscience. 23(14). 6111–6122. 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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