Foster Goss

1.7k total citations
47 papers, 1.1k citations indexed

About

Foster Goss is a scholar working on Toxicology, Pharmacology and Emergency Medicine. According to data from OpenAlex, Foster Goss has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Toxicology, 11 papers in Pharmacology and 10 papers in Emergency Medicine. Recurrent topics in Foster Goss's work include Pharmacovigilance and Adverse Drug Reactions (18 papers), Drug-Induced Adverse Reactions (11 papers) and Electronic Health Records Systems (9 papers). Foster Goss is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (18 papers), Drug-Induced Adverse Reactions (11 papers) and Electronic Health Records Systems (9 papers). Foster Goss collaborates with scholars based in United States, Iran and United Kingdom. Foster Goss's co-authors include Li Zhou, Maxim Topaz, Kimberly G. Blumenthal, Kenneth Lai, Sarah P. Slight, Diane L. Seger, Neil Dhopeshwarkar, David W. Bates, David W. Bates and Lei Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Allergy and Clinical Immunology and Allergy.

In The Last Decade

Foster Goss

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Foster Goss United States	19	349	222	214	200	152	47	1.1k
Kenneth Lai United States	17	188 0.5×	83 0.4×	114 0.5×	134 0.7×	110 0.7×	27	762
Frank Chang United States	19	117 0.3×	352 1.6×	90 0.4×	40 0.2×	58 0.4×	54	1.3k
Joseph M. Plasek United States	13	47 0.1×	58 0.3×	81 0.4×	90 0.5×	58 0.4×	42	544
Peter Arlett Netherlands	21	195 0.6×	28 0.1×	461 2.2×	8 0.0×	107 0.7×	54	1.8k
Enrique Seoane‐Vazquez United States	21	36 0.1×	85 0.4×	64 0.3×	55 0.3×	108 0.7×	87	1.2k
Allison B. McCoy United States	24	48 0.1×	606 2.7×	49 0.2×	17 0.1×	34 0.2×	98	2.0k
Gregory W. Daniel United States	20	66 0.2×	78 0.4×	98 0.5×	8 0.0×	51 0.3×	46	1.5k
Jean‐François Bussières Canada	23	76 0.2×	49 0.2×	87 0.4×	19 0.1×	45 0.3×	295	1.9k
Sue Wood United States	6	172 0.5×	13 0.1×	326 1.5×	16 0.1×	44 0.3×	14	1.1k
Elliot G. Brown United Kingdom	5	231 0.7×	12 0.1×	494 2.3×	18 0.1×	46 0.3×	11	1.3k

Countries citing papers authored by Foster Goss

Since Specialization

Citations

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

Fields of papers citing papers by Foster Goss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Foster Goss

This figure shows the co-authorship network connecting the top 25 collaborators of Foster Goss. A scholar is included among the top collaborators of Foster Goss 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 Foster Goss. Foster Goss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sarpatwari, Ameet, Mark J. Soto, Ishani Ganguli, et al.. (2025). Glucagon-Like Peptide-1 Receptor Agonist Order Fills and Out-of-Pocket Costs by Race, Ethnicity, and Indication. JAMA Health Forum. 6(10). e254258–e254258. 1 indexed citations

Mehrpour, Omid, et al.. (2023). The value of machine learning for prognosis prediction of diphenhydramine exposure: National analysis of 50,000 patients in the United States. Journal of Research in Medical Sciences. 28(1). 49–49. 10 indexed citations

Mehrpour, Omid, Christopher Hoyte, Samaneh Nakhaee, Bruno Mégarbane, & Foster Goss. (2023). Using a decision tree algorithm to distinguish between repeated supra-therapeutic and acute acetaminophen exposures. BMC Medical Informatics and Decision Making. 23(1). 102–102. 2 indexed citations

Lo, Ying-Chih, Suzanne V. Blackley, Diane L. Seger, et al.. (2022). Reconciling Allergy Information in the Electronic Health Record After a Drug Challenge Using Natural Language Processing. SHILAP Revista de lepidopterología. 3. 904923–904923. 12 indexed citations

Mehrpour, Omid, et al.. (2022). Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System. BMC Pharmacology and Toxicology. 23(1). 49–49. 10 indexed citations

Wang, Liqin, et al.. (2022). Expanding the reaction picklist in electronic health records improves allergy documentation. The Journal of Allergy and Clinical Immunology In Practice. 10(10). 2768–2771.e2. 2 indexed citations

Korach, Zfania Tom, Stephen Gradwohl, Kelly Bookman, et al.. (2021). Unsupervised clinical relevancy ranking of structured medical records to retrieve condition-specific information in the emergency department. International Journal of Medical Informatics. 149. 104410–104410.

Wang, Liqin, Suzanne V. Blackley, Kimberly G. Blumenthal, et al.. (2020). A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record. Journal of the American Medical Informatics Association. 27(6). 917–923. 17 indexed citations

Goss, Foster, Kelly Bookman, Michelle Barron, et al.. (2020). Improved antibiotic prescribing using indication‐based clinical decision support in the emergency department. SHILAP Revista de lepidopterología. 1(3). 214–221. 13 indexed citations

10.

Goss, Foster, Melanie D. Whittington, Kelly Bookman, et al.. (2020). Reduced admission rates and resource utilization for chest pain patients using an electronic health record‐embedded clinical pathway in the emergency department. Journal of the American College of Emergency Physicians Open. 1(6). 1602–1613. 8 indexed citations

11.

Goss, Foster, Suzanne V. Blackley, Carlos A. Ortega, et al.. (2019). A clinician survey of using speech recognition for clinical documentation in the electronic health record. International Journal of Medical Informatics. 130. 103938–103938. 46 indexed citations

12.

Goss, Foster, et al.. (2019). Value Creation Through Product-Service Systems in Business Ecosystems - Identification of Key Challenges for Mechanical Engineering Companies. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1354–1358. 2 indexed citations

13.

Acker, Warren W., Joseph M. Plasek, Kimberly G. Blumenthal, et al.. (2017). Prevalence of food allergies and intolerances documented in electronic health records. Journal of Allergy and Clinical Immunology. 140(6). 1587–1591.e1. 77 indexed citations

14.

Acker, Warren W., et al.. (2016). An Error Analysis of Dictated Clinical Documents at Different Processing Stages.. AMIA. 1 indexed citations

15.

Seger, Diane L., Foster Goss, Kenneth Lai, et al.. (2016). Standard Information Models for Representing Adverse Sensitivity Information in Clinical Documents. Methods of Information in Medicine. 55(2). 151–157. 6 indexed citations

16.

Topaz, Maxim, Kenneth Lai, Neil Dhopeshwarkar, et al.. (2015). Clinicians’ Reports in Electronic Health Records Versus Patients’ Concerns in Social Media: A Pilot Study of Adverse Drug Reactions of Aspirin and Atorvastatin. Drug Safety. 39(3). 241–250. 21 indexed citations

17.

Lai, Kenneth, Maxim Topaz, Foster Goss, & Li Zhou. (2015). Automated misspelling detection and correction in clinical free-text records. Journal of Biomedical Informatics. 55. 188–195. 78 indexed citations

18.

Sullivan, Margaret M., et al.. (2014). A 34-Year-Old Woman with Heavy Vaginal Bleeding. Journal of Emergency Nursing. 41(1). 69–70. 1 indexed citations

19.

Goss, Foster, Li Zhou, Joseph M. Plasek, et al.. (2013). Evaluating standard terminologies for encoding allergy information. Journal of the American Medical Informatics Association. 20(5). 969–979. 24 indexed citations

20.

Horng, Steven, et al.. (2012). Prospective pilot study of a tablet computer in an Emergency Department. International Journal of Medical Informatics. 81(5). 314–319. 34 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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