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.
Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices
2018853 citationsMichael D. Abràmoff, Philip T. Lavin et al.npj Digital Medicineprofile →
Citations per year, relative to Michele Birch Michele Birch (= 1×)
peers
Jane Scheetz
Countries citing papers authored by Michele Birch
Since
Specialization
Citations
This map shows the geographic impact of Michele Birch'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 Michele Birch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Birch more than expected).
This network shows the impact of papers produced by Michele Birch. 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 Michele Birch. The network helps show where Michele Birch may publish in the future.
Co-authorship network of co-authors of Michele Birch
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Birch.
A scholar is included among the top collaborators of Michele Birch 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 Michele Birch. Michele Birch is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
5 of 5 papers shown
1.
Abràmoff, Michael D., Philip T. Lavin, Michele Birch, Nilay Shah, & James C. Folk. (2018). Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. npj Digital Medicine. 1(1). 39–39.853 indexed citations breakdown →
2.
Birch, Michele, et al.. (2018). Oxymetazoline Hydrochloride 1% Cream (Rhofade) for Persistent Facial Erythema Associated with Rosacea.. PubMed. 97(12). 808–810.3 indexed citations
3.
Lebensohn, Patricia, Benjamin Kligler, Audrey J. Brooks, et al.. (2017). Integrative Medicine in Residency: Feasibility and Effectiveness of an Online Program.. PubMed. 49(7). 514–521.17 indexed citations
Lebensohn, Patricia, Sally Dodds, Rita Benn, et al.. (2013). Resident wellness behaviors: relationship to stress, depression, and burnout.. PubMed. 45(8). 541–9.106 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.