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.
The thioflavin T fluorescence assay for amyloid fibril detection can be biased by the presence of exogenous compounds
2009506 citationsHeath Ecroyd, John A. Carver et al.FEBS Journalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by John A. Carver
Since
Specialization
Citations
This map shows the geographic impact of John A. Carver'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 A. Carver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Carver more than expected).
This network shows the impact of papers produced by John A. Carver. 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 A. Carver. The network helps show where John A. Carver may publish in the future.
Co-authorship network of co-authors of John A. Carver
This figure shows the co-authorship network connecting the top 25 collaborators of John A. Carver.
A scholar is included among the top collaborators of John A. Carver 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 A. Carver. John A. Carver is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yu, Jianmei, et al.. (2021). Fatty Acid Composition of Grape Seed Oil as Affected by Grape Variety and Extraction Solvent. 16(2). 51–58.4 indexed citations
4.
Hochberg, Georg, Heath Ecroyd, Dezerae Cox, et al.. (2014). Dynamics and chaperone function in the small heat-shock protein αb-crystallin. Research Online (University of Wollongong).1 indexed citations
Esposito, Gennaro, Megan Garvey, Alessandra Corazza, et al.. (2013). Monitoring the Interaction between beta(2)-Microglobulin and the Molecular Chaperone alpha B-crystallin by NMR and Mass Spectrometry alpha B-CRYSTALLIN DISSOCIATES beta(2)-MICROGLOBULIN OLIGOMERS. UCL Discovery (University College London).2 indexed citations
Thorn, David C., Heath Ecroyd, & John A. Carver. (2009). The two-faced nature of milk casein proteins: amyloid fibril formation and chaperone-like activity. Australian Journal of Dairy Technology. 64(1). 34–40.21 indexed citations
Carver, John A.. (2002). John Carver on board leadership : selected writings from the creator of the world's most provocative and systematic governance model. Jossey-Bass eBooks.12 indexed citations
Lindner, Robyn A., John A. Carver, Monika Ehrnsperger, et al.. (2000). Mouse Hsp25, a small heat shock protein. European Journal of Biochemistry. 267(7). 1923–1932.104 indexed citations
Carver, John A., et al.. (1996). Basic principles of policy governance. Bulletin of Miscellaneous Information (Royal Gardens Kew).9 indexed citations
20.
Carver, John A.. (1990). Boards that make a difference : a new design for leadership in nonprofit and public organizations.168 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.