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.
EANM/SNMMI Guideline for18F-FDG Use in Inflammation and Infection
2013386 citationsFrançois Jamar, John Buscombe et al.Journal of Nuclear Medicineprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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This map shows the geographic impact of John Buscombe'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 John Buscombe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Buscombe more than expected).
This network shows the impact of papers produced by John Buscombe. 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 John Buscombe. The network helps show where John Buscombe may publish in the future.
Co-authorship network of co-authors of John Buscombe
This figure shows the co-authorship network connecting the top 25 collaborators of John Buscombe.
A scholar is included among the top collaborators of John Buscombe 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 John Buscombe. John Buscombe is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Joshi, Francis R., Roido Manavaki, Tim D. Fryer, et al.. (2013). Abstract 14673: Imaging of Hypoxia and Inflammation in Carotid Atherosclerosis With 18F-Fluoromisonidazole and 18F-Fluorodeoxyglucose Positron Emission Tomography. Circulation.6 indexed citations
Jamar, François, John Buscombe, Arturo Chiti, et al.. (2013). EANM/SNMMI Guideline for18F-FDG Use in Inflammation and Infection. Journal of Nuclear Medicine. 54(4). 647–658.386 indexed citations breakdown →
Buscombe, John, Giovanni Paganelli, Zeynep Burak, et al.. (2007). Sentinel node in breast cancer procedural guidelines. European Journal of Nuclear Medicine and Molecular Imaging. 34(12). 2154–2159.82 indexed citations
14.
Gnanasegaran, Gopinath, et al.. (2006). Safety and tolerability of adenosine stress myocardial perfusion scintigraphy in the evaluation of coronary artery disease in the elderly patients - A case control study. World Journal of Nuclear Medicine. 5.2 indexed citations
15.
Ćwikła, Jarosław B., Leszek Królicki, John Buscombe, & Jerzy Walecki. (2006). Diagnostic imaging of neuroendocrine tumours. Oncology in Clinical Practice. 2(1). 18–31.1 indexed citations
Bombardieri, Emilio, Cumali Aktolun, Richard P. Baum, et al.. (2003). FDG-PET: procedure guidelines for tumour imaging. European Journal of Nuclear Medicine and Molecular Imaging. 30(12). 1–1.76 indexed citations
18.
Brock, C., Jarosław B. Ćwikła, Pauline Leonard, et al.. (2000). Does technetium-99m sestamibi (MIBI) scintimammography predict breast tumour response to anthracycline-based chemotherapy?. UCL Discovery (University College London).1 indexed citations
19.
Buscombe, John, et al.. (1996). Esophageal Scintigraphy in Systemic Sclerosis: A Simplified Imaging and Reporting Method. Journal of Nuclear Medicine Technology. 24(4). 316–320.3 indexed citations
20.
Buscombe, John, et al.. (1995). DOES THREE-DIMENSIONAL DISPLAY OF SPECT DATA IMPROVE THE ACCURACY OF TECHNETIUM-99M DMSA IMAGING OF THE KIDNEYS?. Journal of Nuclear Medicine Technology. 23(1). 12–17.1 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.