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.
A mouse model of TSC1 reveals sex-dependent lethality from liver hemangiomas, and up-regulation of p70S6 kinase activity in Tsc1 null cells
Countries citing papers authored by D J Kwiatkowski
Since
Specialization
Citations
This map shows the geographic impact of D J Kwiatkowski'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 D J Kwiatkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D J Kwiatkowski more than expected).
This network shows the impact of papers produced by D J Kwiatkowski. 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 D J Kwiatkowski. The network helps show where D J Kwiatkowski may publish in the future.
Co-authorship network of co-authors of D J Kwiatkowski
This figure shows the co-authorship network connecting the top 25 collaborators of D J Kwiatkowski.
A scholar is included among the top collaborators of D J Kwiatkowski 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 D J Kwiatkowski. D J Kwiatkowski is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kwiatkowski, D J. (2002). A mouse model of TSC1 reveals sex-dependent lethality from liver hemangiomas, and up-regulation of p70S6 kinase activity in Tsc1 null cells. Human Molecular Genetics. 11(5). 525–534.526 indexed citations breakdown →
7.
Thor, Ann D., et al.. (2001). Gelsolin as a negative prognostic factor and effector of motility in erbB-2-positive epidermal growth factor receptor-positive breast cancers.. PubMed. 7(8). 2415–24.68 indexed citations
Strauss, Gary M., Thomas J. Lynch, Alby Elias, et al.. (1997). Ifosfamide/carboplatin/etoposide/paclitaxel in advanced lung cancer: update and preliminary survival analysis.. PubMed. 24(4 Suppl 12). S12–73.4 indexed citations
11.
Henske, Elizabeth P., B. W. Scheithauer, M. Priscilla Short, et al.. (1996). Allelic loss is frequent in tuberous sclerosis kidney lesions but rare in brain lesions.. PubMed. 59(2). 400–6.256 indexed citations
Haines, Jonathan L., M. Priscilla Short, D J Kwiatkowski, et al.. (1991). Localization of one gene for tuberous sclerosis within 9q32-9q34, and further evidence for heterogeneity.. PubMed. 49(4). 764–72.53 indexed citations
14.
Kwiatkowski, D J, et al.. (1990). Identification of the functional profilin gene, its localization to chromosome subband 17p13.3, and demonstration of its deletion in some patients with Miller-Dieker syndrome.. PubMed. 46(3). 559–67.17 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.