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.
High-resolution 3D Bayesian image reconstruction using the microPET small-animal scanner
1998520 citationsJinyi Qi, Richard M. Leahy et al.Physics in Medicine and Biologyprofile →
MicroPET: a high resolution PET scanner for imaging small animals
1997485 citationsSimon R. Cherry, Yiping Shao et al.IEEE Transactions on Nuclear Scienceprofile →
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 T.H. Farquhar'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 T.H. Farquhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.H. Farquhar more than expected).
This network shows the impact of papers produced by T.H. Farquhar. 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 T.H. Farquhar. The network helps show where T.H. Farquhar may publish in the future.
Co-authorship network of co-authors of T.H. Farquhar
This figure shows the co-authorship network connecting the top 25 collaborators of T.H. Farquhar.
A scholar is included among the top collaborators of T.H. Farquhar 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 T.H. Farquhar. T.H. Farquhar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Farquhar, T.H., J. Llacer, James Sayre, Yuan‐Chuan Tai, & E.J. Hoffman. (2000). ROC and LROC analyses of the effects of lesion contrast, size, and signal-to-noise ratio on detectability in PET images.. PubMed. 41(4). 745–54.36 indexed citations
8.
Farquhar, T.H., J. Llacer, Johannes Czernin, et al.. (1999). ROC and localization ROC analyses of lesion detection in whole-body FDG PET: effects of acquisition mode, attenuation correction and reconstruction algorithm.. PubMed. 40(12). 2043–52.49 indexed citations
9.
Chatziioannou, Arion F., Simon R. Cherry, Yiping Shao, et al.. (1999). Performance evaluation of microPET: a high-resolution lutetium oxyorthosilicate PET scanner for animal imaging.. PubMed. 40(7). 1164–75.287 indexed citations
10.
Qi, Jinyi, Richard M. Leahy, Simon R. Cherry, Arion F. Chatziioannou, & T.H. Farquhar. (1998). High-resolution 3D Bayesian image reconstruction using the microPET small-animal scanner. Physics in Medicine and Biology. 43(4). 1001–1013.520 indexed citations breakdown →
Cherry, Simon R., Yiping Shao, Robert W. Silverman, et al.. (1997). MicroPET: a high resolution PET scanner for imaging small animals. IEEE Transactions on Nuclear Science. 44(3). 1161–1166.485 indexed citations breakdown →
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.