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.
Suberoylanilide hydroxamic acid, a histone deacetylase inhibitor, ameliorates motor deficits in a mouse model of Huntington's disease
2003667 citationsEmma Hockly, Victoria M. Richon et al.Proceedings of the National Academy of Sciencesprofile →
SUMO Modification of Huntingtin and Huntington's Disease Pathology
2004547 citationsJoan S. Steffan, Namita Agrawal et al.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 Joan Marsh'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 Joan Marsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Marsh more than expected).
This network shows the impact of papers produced by Joan Marsh. 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 Joan Marsh. The network helps show where Joan Marsh may publish in the future.
Co-authorship network of co-authors of Joan Marsh
This figure shows the co-authorship network connecting the top 25 collaborators of Joan Marsh.
A scholar is included among the top collaborators of Joan Marsh 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 Joan Marsh. Joan Marsh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Steffan, Joan S., Namita Agrawal, Judit Pallos, et al.. (2004). SUMO Modification of Huntingtin and Huntington's Disease Pathology. Science. 304(5667). 100–104.547 indexed citations breakdown →
9.
Hockly, Emma, Victoria M. Richon, Donna L. Smith, et al.. (2003). Suberoylanilide hydroxamic acid, a histone deacetylase inhibitor, ameliorates motor deficits in a mouse model of Huntington's disease. Proceedings of the National Academy of Sciences. 100(4). 2041–2046.667 indexed citations breakdown →
10.
Bock, Gregory R. & Joan Marsh. (1994). Neural tube defects. Wiley eBooks.1 indexed citations
11.
Chadwick, Derek J., et al.. (1993). The Molecular basis of smell and taste transduction. J. Wiley eBooks.49 indexed citations
12.
Marsh, Joan & Jamie A. Goode. (1993). The GTPase superfamily. J. Wiley eBooks.70 indexed citations
13.
Chadwick, Derek J. & Joan Marsh. (1993). Crop protection and sustainable agriculture. 285.31 indexed citations
14.
Marsh, Joan. (1992). Regulation of the eukaryotic cell cycle. Wiley eBooks.2 indexed citations
15.
Chadwick, Derek J. & Joan Marsh. (1992). Postimplantation development in the mouse. Wiley eBooks.59 indexed citations
16.
Bock, Gregory & Joan Marsh. (1991). Biological asymmetry and handedness. John Wiley & Sons eBooks.79 indexed citations
17.
Chadwick, Derek J. & Joan Marsh. (1990). Bioactive compounds from plants. Wiley eBooks.70 indexed citations
18.
Bock, Gregory R. & Joan Marsh. (1988). Proton passage across cell membranes. Wiley eBooks.18 indexed citations
19.
Bock, Gregory R. & Joan Marsh. (1988). Applications of plant cell and tissue culture.. PubMed. 137. 1–269.25 indexed citations
20.
Bock, Gregory R., Maeve O’Connor, & Joan Marsh. (1987). Motor areas of the cerebral cortex. Wiley eBooks.16 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.