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.
ALK− anaplastic large-cell lymphoma is clinically and immunophenotypically different from both ALK+ ALCL and peripheral T-cell lymphoma, not otherwise specified: report from the International Peripheral T-Cell Lymphoma Project
This map shows the geographic impact of Fred Ullrich'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 Fred Ullrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Ullrich more than expected).
This network shows the impact of papers produced by Fred Ullrich. 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 Fred Ullrich. The network helps show where Fred Ullrich may publish in the future.
Co-authorship network of co-authors of Fred Ullrich
This figure shows the co-authorship network connecting the top 25 collaborators of Fred Ullrich.
A scholar is included among the top collaborators of Fred Ullrich 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 Fred Ullrich. Fred Ullrich is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ullrich, Fred, et al.. (2018). Spread of Medicare Accountable Care Organizations in Rural America.. PubMed. 2018(4). 1–4.2 indexed citations
7.
Ullrich, Fred, et al.. (2018). Update: Independently Owned Pharmacy Closures in Rural America, 2003-2018.. PubMed. 2018(2). 1–6.19 indexed citations
8.
Ullrich, Fred, et al.. (2018). Trends in Hospital System Affiliation, 2007-2016.. PubMed. 2018(5). 1–6.2 indexed citations
9.
Ullrich, Fred & Keith J. Mueller. (2017). Medicare Advantage Enrollment Update 2017.. PubMed. 2017(5). 1–5.3 indexed citations
10.
Ullrich, Fred, et al.. (2017). Distribution of Disproportionate Share Hospital Payments to Rural and Critical Access Hospitals.. PubMed. 2017(6). 1–6.2 indexed citations
11.
Weigel, Paula, Fred Ullrich, & Keith J. Mueller. (2017). Rural-Urban Enrollment in Part D Prescription Drug Plans: June 2017 Update.. PubMed. 2017(7). 1–6.1 indexed citations
12.
Ullrich, Fred, et al.. (2017). Issues Confronting Rural Pharmacies after a Decade of Medicare Part D.. PubMed. 1–5.6 indexed citations
13.
Mueller, Keith J. & Fred Ullrich. (2016). Spread of Accountable Care Organizations in Rural America.. PubMed. 1–4.2 indexed citations
14.
Zhu, Xi, et al.. (2016). Medicare Accountable Care Organizations: Quality Performance by Geographic Categories.. PubMed. 1–4.3 indexed citations
15.
Weigel, Paula, Fred Ullrich, Marcia M. Ward, & Keith J. Mueller. (2015). Surgical Services in Critical Access Hospitals, 2011.. PubMed. 1–4.2 indexed citations
16.
Ward, Marcia M., Fred Ullrich, & Keith J. Mueller. (2014). Extent of telehealth use in rural and urban hospitals.. PubMed. 1–4.18 indexed citations
17.
Weigel, Paula, Fred Ullrich, & Keith J. Mueller. (2013). Demographic and economic characteristics associated with sole county pharmacy closures, 2006-2010.. PubMed. 1–4.3 indexed citations
18.
MacKinney, A. Clinton, Fred Ullrich, & Keith J. Mueller. (2011). Patient-centered medical home services in 29 rural primary care practices: a work in progress.. PubMed. 1–4.5 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.