Rissa Ota

489 citations
11 papers · 373 · h-index 9

Impact in

  • Paleontology top 10%
    • Evolution and Paleontology Studies
    • Genetic diversity and population structure

Papers in

    • Genomics and Phylogenetic Studies 4
    • RNA and protein synthesis mechanisms 1
    • Genetic diversity and population structure 3

Rissa Ota

11 papers receiving 356 citations

Peers

Rissa Ota
Comparison fields: 5 of 77
  • Paleontology 99
  • Genetics 156
  • Public Administration 18
  • Safety Research 25
  • Clinical Psychology 58
Replace Brendan Chapman with:
Brendan Chapman Australia
Ricardo Estrada Costa Rica
Cara F. Smith United States
Shyamalika Gopalan United States
Jianwen Wei China
J Wakeley United States
Catriona D. Campbell Australia
Gabriela Solano Costa Rica
Luiz Costa Brazil
K. Ann Horsburgh United States
Rissa Ota relative to Brendan Chapman Australia Brendan Chapman's profile →
Citations per field
00.5×7.1×
Brendan Chapman · 1×
Citations per year

Countries citing papers authored by Rissa Ota

Since Specialization
Citations

This map shows the geographic impact of Rissa Ota'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 Rissa Ota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rissa Ota more than expected).

Fields of papers citing papers by Rissa Ota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rissa Ota. 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 Rissa Ota. The network helps show where Rissa Ota may publish in the future.

Co-authors

The 13 scholars most cited alongside Rissa Ota, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rissa Ota Line = papers co-authored together Rissa Ota links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2002125
2 200083
3 201539
4
Very fast algorithms for evaluating the stability of ML and Bayesian phylogenetic trees from sequence data.
200235
5 201526
6 201126
7 200313
8 200911
9 20049
10
t-Balancing Numbers
20125
11
Sequence t-Balancing Numbers
20121

About Rissa Ota

Rissa Ota is a scholar working on Molecular Biology, Genetics, Paleontology, Clinical Psychology and Mathematical Physics, having authored 11 papers that have together received 373 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Child Abuse and Trauma (3 papers), Genetic diversity and population structure (3 papers), Evolution and Paleontology Studies (3 papers), Advanced Mathematical Theories and Applications (2 papers), Advanced Mathematical Theories (2 papers), RNA and protein synthesis mechanisms (1 paper) and Mathematics and Applications (1 paper). The work is most often cited by research in Paleontology (99 citations), Genetics (156 citations), Public Administration (18 citations), Safety Research (25 citations) and Clinical Psychology (58 citations). Rissa Ota has collaborated with scholars based in New Zealand, Japan and United States. Frequent co-authors include Peter J. Waddell, Hirohisa Kishino, David Penny, Patricia A. McLenachan, Yu-Hsin Lin, Matthew J. Phillips, Michael D. Hendy, Masami Hasegawa, Hidetoshi Shimodaira and Fiona Cram. Their work appears in journals such as Molecular Biology and Evolution, Journal of Molecular Evolution, Child Maltreatment, American Journal of Preventive Medicine and Children and Youth Services Review.

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.

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