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.
Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression
20152.3k citationsChih‐Hao Chang, Jing Qiu et al.Cellprofile →
Mitochondrial Dynamics Controls T Cell Fate through Metabolic Programming
20161.0k citationsMichael D. Buck, David O’Sullivan et al.Cellprofile →
T cell metabolism drives immunity
2015867 citationsMichael D. Buck, David O’Sullivan et al.The Journal of Experimental Medicineprofile →
Metabolic Instruction of Immunity
2017810 citationsMichael D. Buck, Ryan Sowell et al.Cellprofile →
Memory CD8+ T Cells Use Cell-Intrinsic Lipolysis to Support the Metabolic Programming Necessary for Development
2014611 citationsDavid O’Sullivan, Gerritje J. W. van der Windt et al.Immunityprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Michael D. Buck
Since
Specialization
Citations
This map shows the geographic impact of Michael D. Buck'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 Michael D. Buck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Buck more than expected).
This network shows the impact of papers produced by Michael D. Buck. 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 Michael D. Buck. The network helps show where Michael D. Buck may publish in the future.
Co-authorship network of co-authors of Michael D. Buck
This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Buck.
A scholar is included among the top collaborators of Michael D. Buck 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 Michael D. Buck. Michael D. Buck is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Buck, Michael D., Ryan Sowell, Susan M. Kaech, & Erika L. Pearce. (2017). Metabolic Instruction of Immunity. Cell. 169(4). 570–586.810 indexed citations breakdown →
7.
Buck, Michael D., David O’Sullivan, Ramon I. Klein Geltink, et al.. (2016). Mitochondrial Dynamics Controls T Cell Fate through Metabolic Programming. Cell. 166(1). 63–76.1041 indexed citations breakdown →
Buck, Michael D., David O’Sullivan, & Erika L. Pearce. (2015). T cell metabolism drives immunity. The Journal of Experimental Medicine. 212(9). 1345–1360.867 indexed citations breakdown →
11.
Chang, Chih‐Hao, Jing Qiu, David O’Sullivan, et al.. (2015). Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression. Cell. 162(6). 1229–1241.2297 indexed citations breakdown →
12.
O’Sullivan, David, Gerritje J. W. van der Windt, Stanley Ching‐Cheng Huang, et al.. (2014). Memory CD8+ T Cells Use Cell-Intrinsic Lipolysis to Support the Metabolic Programming Necessary for Development. Immunity. 41(1). 75–88.611 indexed citations breakdown →
Klann, Jeffrey G. & Michael D. Buck. (2013). Query Health Across Communities: The New York City Department of Health and Mental Hygiene Pilot.. AMIA.1 indexed citations
15.
Klann, Jeffrey G., Michael D. Buck, Jeffrey S. Brown, Shawn N. Murphy, & Douglas B. Fridsma. (2013). Query Health: One Step Toward a Learning Health System.. AMIA.1 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.