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.
Autoantibody to centromere (kinetochore) in scleroderma sera.
1980581 citationsY Möroi, Carol Peebles et al.Proceedings of the National Academy of Sciencesprofile →
Diversity of antinuclear antibodies in progressive systemic sclerosis
1980421 citationsEng M. Tan, Gerald P. Rodnan et al.Arthritis & Rheumatismprofile →
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 Y Möroi'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 Y Möroi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y Möroi more than expected).
This network shows the impact of papers produced by Y Möroi. 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 Y Möroi. The network helps show where Y Möroi may publish in the future.
Co-authorship network of co-authors of Y Möroi
This figure shows the co-authorship network connecting the top 25 collaborators of Y Möroi.
A scholar is included among the top collaborators of Y Möroi 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 Y Möroi. Y Möroi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hashimoto, Akira, Hajime Satō, Yoshihiro Ishihara, et al.. (2001). [A multicenter cross-sectional study on the Health Related Quality of Life of patients with rheumatoid arthritis using a revised Japanese version of the Arthritis Impact Measurement Scales Version 2 (AIMS 2), focusing on physical disability and its associative factors].. PubMed. 41(1). 23–24.7 indexed citations
3.
Satō, Hajime, S Araki, Atsushi Hashimoto, et al.. (1995). [Quality of life, subjective health status and health and life satisfaction in rheumatoid arthritis].. PubMed. 42(9). 743–54.3 indexed citations
Shu, U., F Takeuchi, Kiyoaki Tanimoto, et al.. (1992). Transient myopia with severe chemosis associated with exacerbation of disease activity in systemic lupus erythematosus.. PubMed. 19(2). 297–301.12 indexed citations
Tsuchiya, Naoyuki, Minako Goto, Y Möroi, et al.. (1988). 2-dimensional flow cytometric analysis of peripheral blood T lymphocytes from patients with systemic lupus erythematosus: preferential expression of HLA-DR antigen on the surface of Leu 2a+ cells.. PubMed. 15(6). 946–51.11 indexed citations
9.
Takizawa, Hitoshi, et al.. (1987). Interstitial lung disease in dermatomyositis: clinicopathological study.. PubMed. 14(1). 102–7.91 indexed citations
Tan, Eng M., Gerald P. Rodnan, Ignacio Garcı́a-De La Torre, et al.. (1980). Diversity of antinuclear antibodies in progressive systemic sclerosis. Arthritis & Rheumatism. 23(6). 617–625.421 indexed citations breakdown →
18.
Möroi, Y, Carol Peebles, Marvin J. Fritzler, James C. Steigerwald, & Eng M. Tan. (1980). Autoantibody to centromere (kinetochore) in scleroderma sera.. Proceedings of the National Academy of Sciences. 77(3). 1627–1631.581 indexed citations breakdown →
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.