David Hess

2.0k total citations
30 papers, 1.3k citations indexed

About

David Hess is a scholar working on Molecular Biology, Infectious Diseases and Microbiology. According to data from OpenAlex, David Hess has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Infectious Diseases and 5 papers in Microbiology. Recurrent topics in David Hess's work include Fungal and yeast genetics research (8 papers), Bioinformatics and Genomic Networks (7 papers) and Reproductive tract infections research (5 papers). David Hess is often cited by papers focused on Fungal and yeast genetics research (8 papers), Bioinformatics and Genomic Networks (7 papers) and Reproductive tract infections research (5 papers). David Hess collaborates with scholars based in United States, Canada and United Kingdom. David Hess's co-authors include Olga G. Troyanskaya, Chad L. Myers, Matthew Hibbs, Amy A. Caudy, David Botstein, Curtis Huttenhower, Kai Li, Wenyun Lu, Joshua D. Rabinowitz and Gail E. Herman and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

David Hess

27 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Hess United States 16 1.0k 145 138 117 98 30 1.3k
Alice Schroeder United States 23 971 1.0× 69 0.5× 250 1.8× 206 1.8× 169 1.7× 60 2.4k
Iryna Bohovych United States 18 717 0.7× 73 0.5× 33 0.2× 154 1.3× 114 1.2× 24 1.2k
Elizabeth M. Ryan United States 10 557 0.5× 45 0.3× 64 0.5× 207 1.8× 91 0.9× 14 992
Christine Hoogland Switzerland 21 1.0k 1.0× 38 0.3× 131 0.9× 242 2.1× 93 0.9× 48 1.5k
Maurizio Denaro Italy 20 887 0.9× 54 0.4× 234 1.7× 68 0.6× 95 1.0× 50 1.9k
Mark D’Souza United States 15 1.7k 1.6× 38 0.3× 282 2.0× 254 2.2× 35 0.4× 29 2.1k
Eytan Elhanany Israel 13 712 0.7× 57 0.4× 274 2.0× 110 0.9× 101 1.0× 19 1.2k
Jennifer J. Smith United States 20 1.4k 1.4× 32 0.2× 74 0.5× 93 0.8× 136 1.4× 28 1.6k
Thilo Muth Germany 22 1.1k 1.1× 38 0.3× 59 0.4× 53 0.5× 24 0.2× 54 1.5k

Countries citing papers authored by David Hess

Since Specialization
Citations

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

Fields of papers citing papers by David Hess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hess

This figure shows the co-authorship network connecting the top 25 collaborators of David Hess. A scholar is included among the top collaborators of David Hess 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 Hess. David Hess 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.
Wang, L. M., et al.. (2025). Perioperative neurocognitive disorders: Advances in molecular mechanisms and bioactive molecules. Ageing Research Reviews. 112. 102885–102885. 1 indexed citations
2.
3.
Gorzalski, Andrew, Subhash C. Verma, David Hess, et al.. (2023). Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis. Journal of Molecular Diagnostics. 25(4). 191–196. 3 indexed citations
4.
Scribner, Michelle R., Sage M. Wright, James R. Otieno, et al.. (2023). TheiaEuk: a species-agnostic bioinformatics workflow for fungal genomic characterization. Frontiers in Public Health. 11. 1198213–1198213. 5 indexed citations
5.
Gorzalski, Andrew, Michelle R. Scribner, Kevin Libuit, et al.. (2023). The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada. Frontiers in Public Health. 11. 1198189–1198189. 9 indexed citations
6.
Buono, Sean, et al.. (2015). Fluoroquinolone Resistance in Neisseria gonorrhoeae After Cessation of Ciprofloxacin Usage in San Francisco. Sexually Transmitted Diseases. 42(2). 57–63. 12 indexed citations
7.
VanderSluis, Benjamin, David Hess, Tahin Syed, et al.. (2014). Broad metabolic sensitivity profiling of a prototrophic yeast deletion collection. Genome biology. 15(4). R64–R64. 52 indexed citations
8.
Buono, Sean, David Hess, Susan Philip, et al.. (2012). Using the Neisseria gonorrhoeae Multiantigen Sequence-Typing Method to Assess Strain Diversity and Antibiotic Resistance in San Francisco, California. Microbial Drug Resistance. 18(5). 510–517. 15 indexed citations
9.
Hess, David, Daniel Golparian, Jeffrey D. Klausner, et al.. (2012). Genome Sequencing of a Neisseria gonorrhoeae Isolate of a Successful International Clone with Decreased Susceptibility and Resistance to Extended-Spectrum Cephalosporins. Antimicrobial Agents and Chemotherapy. 56(11). 5633–5641. 25 indexed citations
10.
Baryshnikova, Anastasia, Michael Costanzo, Huiming Ding, et al.. (2010). Quantitative analysis of fitness and genetic interactions in yeast on a genome scale. Nature Methods. 7(12). 1017–1024. 255 indexed citations
11.
Park, Christopher Y., David Hess, Curtis Huttenhower, & Olga G. Troyanskaya. (2010). Simultaneous Genome-Wide Inference of Physical, Genetic, Regulatory, and Functional Pathway Components. PLoS Computational Biology. 6(11). e1001009–e1001009. 15 indexed citations
12.
Hess, David, Chad L. Myers, Curtis Huttenhower, et al.. (2009). Computationally Driven, Quantitative Experiments Discover Genes Required for Mitochondrial Biogenesis. PLoS Genetics. 5(3). e1000407–e1000407. 118 indexed citations
13.
Huttenhower, Curtis, Matthew Hibbs, Chad L. Myers, et al.. (2009). The impact of incomplete knowledge on evaluation: an experimental benchmark for protein function prediction. Bioinformatics. 25(18). 2404–2410. 27 indexed citations
14.
Hibbs, Matthew, Chad L. Myers, Curtis Huttenhower, et al.. (2009). Directing Experimental Biology: A Case Study in Mitochondrial Biogenesis. PLoS Computational Biology. 5(3). e1000322–e1000322. 29 indexed citations
15.
Guan, Yuanfang, Chad L. Myers, David Hess, et al.. (2008). Predicting gene function in a hierarchical context with an ensemble of classifiers. Genome biology. 9(S1). S3–S3. 107 indexed citations
16.
Hibbs, Matthew, David Hess, Chad L. Myers, et al.. (2007). Exploring the functional landscape of gene expression: directed search of large microarray compendia. Bioinformatics. 23(20). 2692–2699. 185 indexed citations
17.
Hess, David, Wenyun Lu, Joshua D. Rabinowitz, & David Botstein. (2006). Ammonium Toxicity and Potassium Limitation in Yeast. PLoS Biology. 4(11). e351–e351. 130 indexed citations
18.
19.
Peters, Hartmut, et al.. (1999). A novel mutation L1425p in the GAP-region of the NF1 gene detected by temperature gradient gel electrophoresis (TGGE);. Human Mutation. 13(4). 337–337. 3 indexed citations
20.
Arn, Pamela, Elizabeth R. Hauser, George H. Thomas, et al.. (1990). Hyperammonemia in Women with a Mutation at the Ornithine Carbamoyltransferase Locus. New England Journal of Medicine. 322(23). 1652–1655. 140 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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