Neil Bahroos

1.4k total citations
24 papers, 684 citations indexed

About

Neil Bahroos is a scholar working on Molecular Biology, General Health Professions and Health Information Management. According to data from OpenAlex, Neil Bahroos has authored 24 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in General Health Professions and 4 papers in Health Information Management. Recurrent topics in Neil Bahroos's work include Chronic Disease Management Strategies (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Food Security and Health in Diverse Populations (3 papers). Neil Bahroos is often cited by papers focused on Chronic Disease Management Strategies (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Food Security and Health in Diverse Populations (3 papers). Neil Bahroos collaborates with scholars based in United States, France and Estonia. Neil Bahroos's co-authors include Mark Maienschein‐Cline, Pinal Kanabar, Tanja Florin, Eugene Oh, Alexander S. Mankin, Tanel Tenson, Jonathan S. Weissman, Krishna Kannan, Andrew H. Chiang and Yves A. Lussier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Neil Bahroos

23 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neil Bahroos United States 12 282 134 130 66 66 24 684
Jennifer E. Huffman United States 18 318 1.1× 61 0.5× 109 0.8× 14 0.2× 60 0.9× 37 757
Enrico Giampieri Italy 13 462 1.6× 115 0.9× 48 0.4× 7 0.1× 53 0.8× 48 817
Jessica L. Schwartz United States 9 169 0.6× 121 0.9× 182 1.4× 10 0.2× 116 1.8× 16 725
John Kelly United States 12 276 1.0× 23 0.2× 65 0.5× 16 0.2× 103 1.6× 25 751
Yalan Chen China 16 305 1.1× 62 0.5× 92 0.7× 4 0.1× 71 1.1× 68 710
Maria Zannotti Italy 16 358 1.3× 90 0.7× 236 1.8× 4 0.1× 88 1.3× 36 922
Eitan Rubin Israel 19 860 3.0× 98 0.7× 94 0.7× 9 0.1× 87 1.3× 58 1.4k
Qiushi Zhang China 16 217 0.8× 80 0.6× 57 0.4× 4 0.1× 48 0.7× 82 636
Demis A. Kia United Kingdom 7 377 1.3× 64 0.5× 38 0.3× 4 0.1× 54 0.8× 10 695
Shu Wan China 12 247 0.9× 31 0.2× 77 0.6× 3 0.0× 106 1.6× 38 901

Countries citing papers authored by Neil Bahroos

Since Specialization
Citations

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

Fields of papers citing papers by Neil Bahroos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Bahroos

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Bahroos. A scholar is included among the top collaborators of Neil Bahroos 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 Neil Bahroos. Neil Bahroos 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.
Cai, Cindy X., et al.. (2024). Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies. SHILAP Revista de lepidopterología. 5(2). 100666–100666. 1 indexed citations
2.
Bahroos, Neil, et al.. (2024). Compliance considerations in the geo-enrichment of an EHR data warehouse with social and environmental determinants of health. Journal of Clinical and Translational Science. 8(1). e95–e95.
3.
Kingsbury, Paul, M. Abajian, Juan Espinoza, et al.. (2023). SEnDAE: A resource for expanding research into social and environmental determinants of health. Computer Methods and Programs in Biomedicine. 238. 107542–107542. 2 indexed citations
4.
Espinoza, Juan, Payal Shah, Paul Kingsbury, et al.. (2023). Integrating REDCap patient-reported outcomes with the HealtheIntent population health platform: proof of concept. JAMIA Open. 6(3). ooad074–ooad074. 1 indexed citations
5.
Espinoza, Juan, Jimmy Phuong, Neil Bahroos, et al.. (2023). Development of a social and environmental determinants of health informatics maturity model. Journal of Clinical and Translational Science. 7(1). e266–e266. 3 indexed citations
6.
Aakalu, Vinay K., Sowmya Parameswaran, Mark Maienschein‐Cline, et al.. (2017). Human Lacrimal Gland Gene Expression. PLoS ONE. 12(1). e0169346–e0169346. 12 indexed citations
7.
Krishnamoorthy, Veena, Sunil Kannanganat, Mark Maienschein‐Cline, et al.. (2017). The IRF4 Gene Regulatory Module Functions as a Read-Write Integrator to Dynamically Coordinate T Helper Cell Fate. Immunity. 47(3). 481–497.e7. 93 indexed citations
8.
Bahroos, Neil, et al.. (2017). From silos to an innovative health care delivery and patient engagement model for children in Medicaid. Healthcare. 6(1). 67–73. 4 indexed citations
9.
Desai, Ankit A., Zhengdeng Lei, Neil Bahroos, et al.. (2017). Association of circulating transcriptomic profiles with mortality in sickle cell disease. Blood. 129(22). 3009–3016. 16 indexed citations
10.
Vasudevan, Divya, Jason R. Hickok, Vy Pham, et al.. (2015). Nitric Oxide Regulates Gene Expression in Cancers by Controlling Histone Posttranslational Modifications. Cancer Research. 75(24). 5299–5308. 51 indexed citations
11.
Boyd, Andrew D., Adhir Shroff, Carolyn Dickens, et al.. (2015). My Interventional Drug-Eluting Stent Educational App (MyIDEA): Patient-Centered Design Methodology. JMIR mhealth and uhealth. 3(3). e74–e74. 18 indexed citations
12.
Hutchison, Alan L., Mark Maienschein‐Cline, Andrew H. Chiang, et al.. (2015). Improved Statistical Methods Enable Greater Sensitivity in Rhythm Detection for Genome-Wide Data. PLoS Computational Biology. 11(3). e1004094–e1004094. 78 indexed citations
13.
Mandal, Malay, Keith M. Hamel, Mark Maienschein‐Cline, et al.. (2015). Histone reader BRWD1 targets and restricts recombination to the Igk locus. Nature Immunology. 16(10). 1094–1103. 30 indexed citations
14.
Lopez, Karen Dunn, et al.. (2015). Are we talking about the same patient?. Studies in health technology and informatics. 216. 1059–1059. 4 indexed citations
15.
Boyd, Andrew D., et al.. (2015). Metrics and tools for consistent cohort discovery and financial analyses post-transition to ICD-10-CM. Journal of the American Medical Informatics Association. 22(3). 730–737. 16 indexed citations
16.
Gardeux, Vincent, Ikbel Achour, Jianrong Li, et al.. (2014). ‘N-of-1-pathways’ unveils personal deregulated mechanisms from a single pair of RNA-Seq samples: towards precision medicine. Journal of the American Medical Informatics Association. 21(6). 1015–1025. 32 indexed citations
17.
Boyd, Andrew D., Vincent Gardeux, Ikbel Achour, et al.. (2013). The discriminatory cost of ICD-10-CM transition between clinical specialties: metrics, case study, and mitigating tools. Journal of the American Medical Informatics Association. 20(4). 708–717. 49 indexed citations
18.
Chen, Bo‐Hao, Tamson V. Moore, Zhenping Li, et al.. (2013). Gata5 Deficiency Causes Airway Constrictor Hyperresponsiveness in Mice. American Journal of Respiratory Cell and Molecular Biology. 50(4). 787–795. 10 indexed citations
19.
Bahroos, Neil, et al.. (2013). Leverage hadoop framework for large scale clinical informatics applications.. PubMed. 2013. 53–53. 9 indexed citations
20.

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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