Foster Goss

47 papers receiving 1.2k citations

Peers

Foster Goss
Comparison fields: 5 of 107
  • Health Information Management 158
  • Medical Terminology 8
  • Toxicology 114
  • Health Informatics 43
  • Immunology and Allergy 142
Replace Kenneth Lai with:
Kenneth Lai United States
Frank Chang United States
Joseph M. Plasek United States
Giampaolo Velo Italy
Yogini Jani United Kingdom
Tejal K. Gandhi United States
Preciosa M. Coloma Netherlands
Stephen J. Traub United States
Patrick E. Beeler Switzerland
Jens Kaltschmidt Germany
Foster Goss relative to Kenneth Lai United States Kenneth Lai's profile →
Citations per field
00.5×2.7×
Kenneth Lai · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Foster Goss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Foster Goss Line = papers co-authored together Foster Goss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016231
2 201594
3 201586
4 201780
5 201861
6 201853
7 201947
8 201544
9 201342
10 202039
11 201236
12 201734
13
An evaluation of a natural language processing tool for identifying and encoding allergy information in emergency department clinical notes.
201434
14
How many medication orders are entered through free-text in EHRs?--a study on hypoglycemic agents.
201228
15 201527
16 201327
17 201623
18 201522
19 201522
20 202018

About Foster Goss

Foster Goss is a scholar working on Toxicology, Pharmacology, Emergency Medicine, Family Practice and Pharmacology, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (7 papers), Drug-Induced Adverse Reactions (6 papers), Poisoning and overdose treatments (5 papers), Medication Adherence and Compliance (4 papers), Electronic Health Records Systems (3 papers), Biomedical Text Mining and Ontologies (3 papers), Allergic Rhinitis and Sensitization (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Health Information Management (158 citations), Medical Terminology (8 citations), Toxicology (114 citations), Health Informatics (43 citations) and Immunology and Allergy (142 citations). Foster Goss has collaborated with scholars based in United States, Iran and United Kingdom. Frequent co-authors include Li Zhou, Maxim Topaz, Kimberly G. Blumenthal, Kenneth Lai, Sarah P. Slight, Diane L. Seger, Neil Dhopeshwarkar, David W. Bates, Lei Zhou and David W. Bates. Their work appears in journals such as International Journal of Medical Informatics, Journal of the American Medical Informatics Association, Journal of Allergy and Clinical Immunology, The Journal of Allergy and Clinical Immunology In Practice and Annals of Emergency Medicine.

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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