David Huss
Impact in
- Sensory Systems top 2%
- Hearing, Cochlea, Tinnitus, Genetics
- Immunology top 5%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- CRISPR and Genetic Engineering 6
- Genetics 13
- Animal Genetics and Reproduction 11
- Co-authors
- Rusty Lansford (17 shared papers)Greg Poynter (8 shared papers)J. David Dickman (9 shared papers)Amy E. Lovett‐Racke (4 shared papers)Michael K. Racke (4 shared papers)Yuhong Yang (4 shared papers)Haiyan Peng (3 shared papers)Mark E. Warchol (3 shared papers)
- Journals
- Cold Spring Harbor Protocols (6 papers)Development (3 papers)Journal of Neuroimmunology (3 papers)The Journal of Comparative Neurology (2 papers)Developmental Biology (2 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
David Huss
45 papers receiving 2.3k citations
David Huss's Hit Papers
Peers
Comparison fields: 5 of 121
- Sensory Systems 208
- Immunology 501
- Neurology 152
- Cell Biology 259
- Molecular Biology 1.0k
Countries citing papers authored by David Huss
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
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-authors
The 25 scholars most cited alongside David Huss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 268 | |
| 2 | 2009 | 232 | |
| 3 | 2012 | 177 | |
| 4 | 2015 | 150 | |
| 5 | 2008 | 136 | |
| 6 | 2010 | 129 | |
| 7 | 2004 | 104 | |
| 8 | RNA editing: Expanding the potential of RNA therapeutics Hit paper breakdown → | 2023 | 104 |
| 9 | 2019 | 100 | |
| 10 | 2014 | 91 | |
| 11 | 2003 | 87 | |
| 12 | 2009 | 53 | |
| 13 | 2019 | 48 | |
| 14 | 2014 | 46 | |
| 15 | 2017 | 43 | |
| 16 | 2006 | 40 | |
| 17 | 2011 | 40 | |
| 18 | 2010 | 39 | |
| 19 | 1997 | 38 | |
| 20 | 2015 | 36 |
About David Huss
David Huss is a scholar working on Molecular Biology, Genetics, Immunology, Sensory Systems and Animal Science and Zoology, having authored 45 papers that have together received 2.3k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (11 papers), Hearing, Cochlea, Tinnitus, Genetics (6 papers), T-cell and B-cell Immunology (6 papers), CRISPR and Genetic Engineering (6 papers), Immune Cell Function and Interaction (5 papers), Animal Nutrition and Physiology (5 papers), Immunotherapy and Immune Responses (4 papers) and Animal Vocal Communication and Behavior (4 papers). The work is most often cited by research in Sensory Systems (208 citations), Immunology (501 citations), Neurology (152 citations), Cell Biology (259 citations) and Molecular Biology (1.0k citations). David Huss has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Rusty Lansford, Greg Poynter, J. David Dickman, Amy E. Lovett‐Racke, Michael K. Racke, Yuhong Yang, Haiyan Peng, Mark E. Warchol, Ryan C. Winger and Jason D. Fontenot. Their work appears in journals such as Cold Spring Harbor Protocols, Development, Journal of Neuroimmunology, The Journal of Comparative Neurology and Developmental Biology.
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.