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 ASAS-SN catalogue of variable stars I: The Serendipitous Survey
2018245 citationsT. Jayasinghe, C. S. Kochanek et al.Monthly Notices of the Royal Astronomical Societyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Subo Dong'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 Subo Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subo Dong more than expected).
This network shows the impact of papers produced by Subo Dong. 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 Subo Dong. The network helps show where Subo Dong may publish in the future.
Co-authorship network of co-authors of Subo Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Subo Dong.
A scholar is included among the top collaborators of Subo Dong 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 Subo Dong. Subo Dong is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Stanek, K. Z., C. S. Kochanek, T. Jayasinghe, et al.. (2019). Continued Unusual Behavior of ASASSN-V J060000.76-310027.83. ATel. 13357. 1.1 indexed citations
Stanek, K. Z., P. Vallely, C. S. Kochanek, et al.. (2018). ASASSN-18bt: Discovery of A Probable, Bright Supernova in a Kepler Supernova Field. ATel. 11253. 1.1 indexed citations
12.
Dong, Subo, S. Bose, Ping Chen, et al.. (2018). Spectroscopic Classification of ASASSN-18zj with the Lick 3-m Shane Telescope. The astronomer's telegram. 12198. 1.1 indexed citations
Franckowiak, A., K. Z. Stanek, C. S. Kochanek, et al.. (2017). ASAS-SN optical light-curve of blazar TXS 0506+056, located inside the IceCube-170922A error region, shows increased optical activity. ATel. 10794. 1.1 indexed citations
15.
Stanek, K. Z., C. S. Kochanek, J. Shields, et al.. (2017). ASAS-SN Discovery of a Possible Bright Galactic Nova ASASSN-17mt. The astronomer's telegram. 10772. 1.1 indexed citations
16.
Stanek, K. Z., C. S. Kochanek, T. A. Thompson, et al.. (2017). ASAS-SN Optical Light Curve of Swift J0243.6+6124 Shows Long Term Variability. ATel. 10811. 1.
17.
Stanek, K. Z., C. S. Kochanek, J. S. Brown, et al.. (2016). ASAS-SN Discovery of A Likely Galactic Nova ASASSN-16ma on the Rise. The astronomer's telegram. 9669. 1.1 indexed citations
18.
Jha, Saurabh W., E. Romero‐Colmenero, K. Z. Stanek, et al.. (2016). ASASSN-16oh: An Unusual Transient in the Vicinity of the SMC. The astronomer's telegram. 9859. 1.2 indexed citations
19.
Grupe, D., et al.. (2016). Discovery of X-rays from the Type IIP supernova ASASSN 16at with Swift. ATel. 8588. 1.1 indexed citations
20.
Stanek, K. Z., C. S. Kochanek, J. S. Brown, et al.. (2016). ASAS-SN Discovery of A Likely Galactic Nova ASASSN-16kt at V=9.1. The astronomer's telegram. 9538. 1.1 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.