Owen D. Solberg

4.5k total citations · 1 hit paper
41 papers, 3.5k citations indexed

About

Owen D. Solberg is a scholar working on Infectious Diseases, Physiology and Immunology. According to data from OpenAlex, Owen D. Solberg has authored 41 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 11 papers in Physiology and 8 papers in Immunology. Recurrent topics in Owen D. Solberg's work include Asthma and respiratory diseases (8 papers), Escherichia coli research studies (7 papers) and Viral gastroenteritis research and epidemiology (4 papers). Owen D. Solberg is often cited by papers focused on Asthma and respiratory diseases (8 papers), Escherichia coli research studies (7 papers) and Viral gastroenteritis research and epidemiology (4 papers). Owen D. Solberg collaborates with scholars based in United States, Canada and Ecuador. Owen D. Solberg's co-authors include Prescott G. Woodruff, John V. Fahy, Richard M. Single, Alex K. Lancaster, Amee R. Manges, Sara Y. Tartof, Lee W. Riley, Lee W. Riley, Joseph R. Arron and Mark P. Nelson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Owen D. Solberg

41 papers receiving 3.4k citations

Hit Papers

Periostin is a systemic biomarker of eosinophilic airway ... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Owen D. Solberg United States 25 1.2k 913 782 743 512 41 3.5k
Nobuhiro Fujii Japan 42 474 0.4× 1.7k 1.9× 615 0.8× 1.2k 1.6× 1.3k 2.5× 213 6.0k
Eric J. Hansen United States 36 464 0.4× 345 0.4× 253 0.3× 822 1.1× 426 0.8× 96 3.5k
Yolanda S. López-Boado United States 20 316 0.3× 819 0.9× 503 0.6× 1.5k 2.1× 226 0.4× 25 4.4k
Claudia L. Ordoñez United States 15 923 0.8× 490 0.5× 2.8k 3.6× 973 1.3× 105 0.2× 23 4.6k
Trude Helen Flo Norway 30 344 0.3× 2.5k 2.7× 490 0.6× 1.4k 1.8× 786 1.5× 59 5.4k
Katherine P. Lemon United States 27 576 0.5× 247 0.3× 415 0.5× 3.5k 4.7× 594 1.2× 38 5.7k
Christopher D. Sibley Canada 30 176 0.1× 887 1.0× 1.1k 1.3× 1.5k 2.0× 378 0.7× 56 3.3k
Taylor S. Cohen United States 29 190 0.2× 865 0.9× 856 1.1× 1.2k 1.6× 468 0.9× 57 3.1k
H. Denny Liggitt United States 32 605 0.5× 1.4k 1.5× 573 0.7× 1.3k 1.8× 273 0.5× 105 4.5k
E J Hansen United States 42 442 0.4× 654 0.7× 248 0.3× 1.1k 1.5× 362 0.7× 87 4.3k

Countries citing papers authored by Owen D. Solberg

Since Specialization
Citations

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

Fields of papers citing papers by Owen D. Solberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Owen D. Solberg. 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 Owen D. Solberg. The network helps show where Owen D. Solberg may publish in the future.

Co-authorship network of co-authors of Owen D. Solberg

This figure shows the co-authorship network connecting the top 25 collaborators of Owen D. Solberg. A scholar is included among the top collaborators of Owen D. Solberg 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 Owen D. Solberg. Owen D. Solberg 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.
Mack, Steven J., et al.. (2024). Population genetic dissection of HLA-DPB1 amino acid polymorphism to infer selection. Human Immunology. 85(6). 111151–111151. 2 indexed citations
2.
Single, Richard M., et al.. (2024). Natural selection on HLA-DPB1 amino acids operates primarily on DP serologic categories. Human Immunology. 85(6). 111153–111153. 3 indexed citations
3.
Golnar, Andrew J., et al.. (2018). Flanders hapavirus in western North America. Archives of Virology. 163(12). 3351–3356. 1 indexed citations
4.
Bhakta, Nirav R., Stephanie A. Christenson, Srilaxmi Nerella, et al.. (2017). IFN-stimulated Gene Expression, Type 2 Inflammation, and Endoplasmic Reticulum Stress in Asthma. American Journal of Respiratory and Critical Care Medicine. 197(3). 313–324. 84 indexed citations
7.
Li, Michael, Nirav R. Bhakta, Owen D. Solberg, et al.. (2014). Longitudinal analysis of sarcoidosis blood transcriptomic signatures and disease outcomes. European Respiratory Journal. 44(4). 985–993. 47 indexed citations
8.
Pauvolid‐Corrêa, Alex, Owen D. Solberg, Dinair Couto‐Lima, et al.. (2014). Nhumirim virus, a novel flavivirus isolated from mosquitoes from the Pantanal, Brazil. Archives of Virology. 160(1). 21–27. 39 indexed citations
9.
Lane, Todd W., et al.. (2013). Pond Crash Forensics: molecular diagnostics in replicate raceway mass cultures of the alga Nannochloropsis salina.. Biotechnology and Bioengineering. 2 indexed citations
10.
Solberg, Owen D., Edwin J. Ostrin, Michael I. Love, et al.. (2012). Airway Epithelial miRNA Expression Is Altered in Asthma. American Journal of Respiratory and Critical Care Medicine. 186(10). 965–974. 199 indexed citations
11.
Koth, Laura L., Owen D. Solberg, Jeffrey Peng, et al.. (2011). Sarcoidosis Blood Transcriptome Reflects Lung Inflammation and Overlaps with Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 184(10). 1153–1163. 118 indexed citations
12.
Dougherty, Ryan H., Sukhvinder Sidhu, Margaret Solon, et al.. (2010). Accumulation of intraepithelial mast cells with a unique protease phenotype in TH2-high asthma. Journal of Allergy and Clinical Immunology. 125(5). 1046–1053.e8. 210 indexed citations
13.
Solberg, Owen D., Maria E. Hasing, Gabriel Trueba, & Joseph N. S. Eisenberg. (2009). Characterization of novel VP7, VP4, and VP6 genotypes of a previously untypeable group A rotavirus. Virology. 385(1). 58–67. 105 indexed citations
14.
15.
Hasing, Maria E., et al.. (2009). Rapid changes in rotaviral genotypes in Ecuador. Journal of Medical Virology. 81(12). 2109–2113. 16 indexed citations
16.
Solberg, Owen D., Steven J. Mack, Alex K. Lancaster, et al.. (2008). Balancing selection and heterogeneity across the classical human leukocyte antigen loci: A meta-analytic review of 497 population studies. Human Immunology. 69(7). 443–464. 266 indexed citations
17.
Lancaster, Alex K., Richard M. Single, Owen D. Solberg, Mark P. Nelson, & G. Thomson. (2007). PyPop update – a software pipeline for large‐scale multilocus population genomics. Tissue Antigens. 69(s1). 192–197. 254 indexed citations
18.
Manges, Amee R., et al.. (2005). The changing prevalence of drug-resistant Escherichia coli clonal groups in a community: evidence for community outbreaks of urinary tract infections. Epidemiology and Infection. 134(2). 425–431. 67 indexed citations
19.
Woodruff, Prescott G., Gregory Dolganov, Ronald E. Ferrando, et al.. (2004). Hyperplasia of Smooth Muscle in Mild to Moderate Asthma without Changes in Cell Size or Gene Expression. American Journal of Respiratory and Critical Care Medicine. 169(9). 1001–1006. 303 indexed citations
20.
Solberg, Owen D., Kenneth A. Jackson, L. V. Millon, et al.. (2003). Genomic characterization of equine Interleukin-4 receptor α-chain (IL4R). Veterinary Immunology and Immunopathology. 97(3-4). 187–194. 9 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026