Tiffany Amariuta

2.5k citations
17 papers · 714 indexed · h-index 12
  • Genetics top 10%
    • Genetic Associations and Epidemiology 7
    • Genomic variations and chromosomal abnormalities 2
    • Bioinformatics and Genomic Networks 4
    • Single-cell and spatial transcriptomics 3
    • Genomics and Chromatin Dynamics 3
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 3
    • Systemic Lupus Erythematosus Research 2

Tiffany Amariuta

17 papers receiving 709 citations

Peers

Tiffany Amariuta
Comparison fields: 5 of 92
  • Genetics 294
  • Molecular Biology 421
  • Aging 10
  • Immunology 114
  • Biophysics 22
Replace Monique G.P. van der Wijst with:
Monique G.P. van der Wijst Netherlands
Moshe C. Silverstein United States
Per Oksvold Sweden
Dániel Süveges United Kingdom
Hyun-Hwan Jeong United States
Raul Lacson United States
Bo Gu United States
Ingrid Lönnstedt Sweden
Jennine M. Dawicki-McKenna United States
Marijke Baltissen Netherlands
Tiffany Amariuta relative to Monique G.P. van der Wijst Netherlands Monique G.P. van der Wijst's profile →
Citations per field
00.5×1.5×
Monique G.P. van der Wijst · 1×
Citations per year

Countries citing papers authored by Tiffany Amariuta

Since Specialization
Citations

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

Fields of papers citing papers by Tiffany Amariuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tiffany Amariuta, 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 Tiffany Amariuta Line = papers co-authored together Tiffany Amariuta links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20253
2 202421
3 20237
4 202310
5 20231
6 202288
7 202157
8 2020100
9 202070
10 20199
11 201913
12 201930
13 201932
14 201918
15 201827
16 2016212
17 201516

About Tiffany Amariuta

Tiffany Amariuta is a scholar working on Genetics, Immunology and Biophysics, having authored 17 papers that have together received 714 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), T-cell and B-cell Immunology (5 papers), Bioinformatics and Genomic Networks (4 papers), Single-cell and spatial transcriptomics (3 papers), Immune Cell Function and Interaction (3 papers), Genomics and Chromatin Dynamics (3 papers), Systemic Lupus Erythematosus Research (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Genetics (294 citations), Molecular Biology (421 citations) and Aging (10 citations). Tiffany Amariuta has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Soumya Raychaudhuri, Alkes L. Price, Pooja Jha, Witold Wolski, Yibo Wu, Evan G. Williams, Peter Blattmann, Carmen Argmann, Sander M. Houten and Sébastien Dubuis. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026