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.
Identification and Importance of Brown Adipose Tissue in Adult Humans
20093.4k citationsAaron M. Cypess, Gethin Williams et al.New England Journal of Medicineprofile →
Activation of Human Brown Adipose Tissue by a β3-Adrenergic Receptor Agonist
2015802 citationsAaron M. Cypess, Lauren S Weiner et al.profile →
Mapping of human brown adipose tissue in lean and obese young men
2017380 citationsBrooks P. Leitner, Shan Huang et al.Proceedings of the National Academy of Sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Gerald M. Kolodny
Since
Specialization
Citations
This map shows the geographic impact of Gerald M. Kolodny'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 Gerald M. Kolodny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald M. Kolodny more than expected).
Fields of papers citing papers by Gerald M. Kolodny
This network shows the impact of papers produced by Gerald M. Kolodny. 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 Gerald M. Kolodny. The network helps show where Gerald M. Kolodny may publish in the future.
Co-authorship network of co-authors of Gerald M. Kolodny
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald M. Kolodny.
A scholar is included among the top collaborators of Gerald M. Kolodny 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 Gerald M. Kolodny. Gerald M. Kolodny is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Leitner, Brooks P., Shan Huang, Robert J. Brychta, et al.. (2017). Mapping of human brown adipose tissue in lean and obese young men. Proceedings of the National Academy of Sciences. 114(32). 8649–8654.380 indexed citations breakdown →
Cypess, Aaron M., Gethin Williams, Ṭal Ilan, et al.. (2009). Identification and Importance of Brown Adipose Tissue in Adult Humans. New England Journal of Medicine. 360(15). 1509–1517.3417 indexed citations breakdown →
Even‐Sapir, Einat, Lise Bettman, Galina Iosilevsky, et al.. (1994). SPECT quantitation of cobalt-57-bleomycin to predict treatment response and outcome of patients with lung cancer.. PubMed. 35(7). 1129–33.7 indexed citations
10.
Front, Dov, Rachel Bar‐Shalom, Ron Epelbaum, et al.. (1993). Early detection of lymphoma recurrence with gallium-67 scintigraphy.. PubMed. 34(12). 2101–4.52 indexed citations
11.
Israel, Ora, Alex Frenkel, Abraham Kuten, et al.. (1992). Local and systemic effects of radiation on bone metabolism measured by quantitative SPECT.. PubMed. 33(10). 1774–80.11 indexed citations
Front, Dov, Ora Israel, Galina Iosilevsky, et al.. (1988). SPECT quantitation of cobalt-57 bleomycin delivery to human brain tumors.. PubMed. 29(2). 187–94.12 indexed citations
Royal, Henry D., et al.. (1984). Technical Considerations of Tc-99m Labeled Red Blood Cell Scans in the Detection and Localization of Gastrointestinal Bleeding Sites. Journal of Nuclear Medicine Technology. 12(2). 56–58.2 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.