Amy Robinson

585 total citations · 1 hit paper
9 papers, 394 citations indexed

About

Amy Robinson is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Health Information Management. According to data from OpenAlex, Amy Robinson has authored 9 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Health Information Management. Recurrent topics in Amy Robinson's work include Biomedical Text Mining and Ontologies (2 papers), Electronic Health Records Systems (2 papers) and Blood Pressure and Hypertension Studies (2 papers). Amy Robinson is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Electronic Health Records Systems (2 papers) and Blood Pressure and Hypertension Studies (2 papers). Amy Robinson collaborates with scholars based in United States and Australia. Amy Robinson's co-authors include Mark E. Splaine, Robert J. Ferguson, William J. Friedman, Adam J. Gordon, Jennifer M. Hah, Patricia Henderson, Thomas Bowe, Stefan G. Kertesz, Ajay Manhapra and Elizabeth M. Oliva and has published in prestigious journals such as BMJ, Quality of Life Research and Clinical Therapeutics.

In The Last Decade

Amy Robinson

9 papers receiving 370 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Associations between stopping prescriptions for opioids, length of opioid treatment, and overdose or suicide deaths in US veterans: observational evaluation

2020 157 citations Elizabeth M. Oliva, Thomas Bowe et al. BMJ profile →

Peers

Amy Robinson

PHEOH

APM

CP

PHARM

EPIDE

Inger Utne Norway

Emilie J. Gladstone Canada

David Thomas Johnson Australia

Wendy Balliet United States

Virginia LeBaron United States

Camille J. Hochheimer United States

Robyn Nash Australia

Rolanda Johnson United States

Cynthia Y Akinsanya United Kingdom

Martha K. Keintz United States

Inger Utne Norway

Amy Robinson

157 ×0.9

PHEOH

87 ×0.9

APM

77 ×1.2

CP

47 ×0.9

PHARM

15 ×0.3

EPIDE

Citations per year, relative to Amy Robinson Amy Robinson (= 1×) peers Inger Utne

Countries citing papers authored by Amy Robinson

Since Specialization

Citations

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

Fields of papers citing papers by Amy Robinson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Robinson

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Lamprea‐Montealegre, Julio A., Erin Madden, Onur Potok, et al.. (2022). Improving chronic kidney disease detection and treatment in the United States: the chronic kidney disease cascade of care (C3) study protocol. BMC Nephrology. 23(1). 331–331. 2 indexed citations

2.

Oliva, Elizabeth M., Thomas Bowe, Ajay Manhapra, et al.. (2020). Associations between stopping prescriptions for opioids, length of opioid treatment, and overdose or suicide deaths in US veterans: observational evaluation. BMJ. 368. m283–m283. 157 indexed citations breakdown →

3.

Tu, Samson W., et al.. (2018). Selecting Test Cases from the Electronic Health Record for Software Testing of Knowledge-Based Clinical Decision Support Systems.. PubMed. 2018. 1046–1055. 2 indexed citations

4.

Carmichael, Jannet M., et al.. (2017). Leveraging electronic medical record data for population health management in the Veterans Health Administration: Successes and lessons learned. American Journal of Health-System Pharmacy. 74(18). 1447–1459. 20 indexed citations

5.

Tu, Samson W., Susana B. Martins, Dan Wang, et al.. (2016). Automating Guidelines for Clinical Decision Support: Knowledge Engineering and Implementation.. PubMed. 2016. 1189–1198. 22 indexed citations

6.

Carr‐Lopez, Sian M., et al.. (2016). Determinants of Treatment Eligibility in Veterans With Hepatitis C Viral Infection. Clinical Therapeutics. 39(1). 130–137. 5 indexed citations

7.

Tu, Samson W., et al.. (2016). Automating Performance Measures and Clinical Practice Guidelines: Differences and Complementarities.. PubMed. 2016. 1199–1208. 3 indexed citations

8.

Ferguson, Robert J., Amy Robinson, & Mark E. Splaine. (2002). Use of the Reliable Change Index to evaluate clinical significance in SF-36 outcomes. Quality of Life Research. 11(6). 509–516. 117 indexed citations

9.

Friedman, William J., et al.. (1987). Sex Differences in Moral Judgments? A Test of Gilligan's Theory. Psychology of Women Quarterly. 11(1). 37–46. 66 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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