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.
Potential for Cancer Related Health Services Research Using a Linked Medicare-Tumor Registry Database
1993655 citationsArnold L. Potosky, Gerald F. Riley et al.Medical Careprofile →
Trends in Medicare Payments in the Last Year of Life
1993551 citationsJames Lubitz, Gerald F. RileyNew England Journal of Medicineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of James Lubitz'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 James Lubitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Lubitz more than expected).
This network shows the impact of papers produced by James Lubitz. 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 James Lubitz. The network helps show where James Lubitz may publish in the future.
Co-authorship network of co-authors of James Lubitz
This figure shows the co-authorship network connecting the top 25 collaborators of James Lubitz.
A scholar is included among the top collaborators of James Lubitz 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 James Lubitz. James Lubitz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cano, Carlos, Kevin D. Hennessy, Joan L. Warren, & James Lubitz. (1997). Medicare Part A utilization and expenditures for psychiatric services: 1995.. PubMed. 18(3). 177–93.14 indexed citations
Lubitz, James, et al.. (1987). Medicare enrollment in health maintenance organizations.. PubMed. 8(3). 87–93.16 indexed citations
11.
Gornick, Marian E., et al.. (1987). Nursing home costs for those dually entitled to Medicare and Medicaid.. PubMed. 9(2). 1–14.3 indexed citations
12.
Riley, Gerald F., et al.. (1987). The use and costs of Medicare services by cause of death.. PubMed. 24(3). 233–44.57 indexed citations
13.
Riley, Gerald F., et al.. (1986). Changes in distribution of Medicare expenditures among aged enrollees, 1969-82.. PubMed. 7(3). 53–63.23 indexed citations
14.
Riley, Gerald F. & James Lubitz. (1985). Outcomes of surgery among the Medicare aged: surgical volume and mortality.. PubMed. 7(1). 37–47.54 indexed citations
15.
Lubitz, James, et al.. (1985). Using prior utilization to determine payments for Medicare enrollees in health maintenance organizations.. PubMed. 6(3). 27–38.59 indexed citations
16.
Lubitz, James, et al.. (1985). Improving the Medicare HMO payment formula to deal with biased selection.. PubMed. 6. 101–26.37 indexed citations
17.
Lubitz, James, et al.. (1984). The use and costs of Medicare services in the last 2 years of life.. PubMed. 5(3). 117–31.199 indexed citations
18.
Lubitz, James, et al.. (1982). The rise in the incidence of hospitalizations for the aged, 1967 to 1979.. PubMed Central. 3(3). 21–40.21 indexed citations
19.
Gornick, Marian E., et al.. (1981). Analysis of services received under Medicare by specialty of physician.. PubMed. 3(1). 89–116.2 indexed citations
20.
Lubitz, James. (1981). Different data systems, different conclusions? Comparing hospital use data for the aged from four data systems.. PubMed. 2(4). 41–60.8 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.