Peter Niimi

588 total citations
2 papers, 12 citations indexed

About

Peter Niimi is a scholar working on Molecular Biology, Virology and Biological Psychiatry. According to data from OpenAlex, Peter Niimi has authored 2 papers receiving a total of 12 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Virology and 1 paper in Biological Psychiatry. Recurrent topics in Peter Niimi's work include Tryptophan and brain disorders (1 paper), HIV Research and Treatment (1 paper) and RNA modifications and cancer (1 paper). Peter Niimi is often cited by papers focused on Tryptophan and brain disorders (1 paper), HIV Research and Treatment (1 paper) and RNA modifications and cancer (1 paper). Peter Niimi collaborates with scholars based in United States. Peter Niimi's co-authors include Lajos Pusztai, Kenneth B. Beckman, Raghav Sehgal, Joel Rozowsky, Morgan E. Levine, Kyra Thrush, John Gonzalez, Mark Gerstein, Christopher J. Minteer and Albert Higgins‐Chen and has published in prestigious journals such as Science Advances and Innovation in Aging.

In The Last Decade

Peter Niimi

2 papers receiving 12 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Niimi United States 2 9 3 2 2 2 2 12
Raphaël Leman France 2 6 0.7× 3 1.0× 3 1.5× 10 11
Alex Hakansson United States 3 8 0.9× 3 1.0× 2 1.0× 5 9
Lauren Overend United Kingdom 2 7 0.8× 5 1.7× 2 1.0× 3 19
Melina Casadio United States 2 8 0.9× 3 1.0× 1 0.5× 2 1.0× 11 11
Eunhwa Kang South Korea 2 8 0.9× 3 1.0× 2 1.0× 5 12
Amos Stern Israel 3 7 0.8× 2 0.7× 3 1.5× 4 15
Matthew Zatzman United States 2 12 1.3× 4 1.3× 2 1.0× 3 16
Tyler Mollenkopf United States 2 7 0.8× 3 1.0× 2 1.0× 2 12
Delphine Rolando United Kingdom 2 10 1.1× 4 1.3× 2 1.0× 2 15
Isabella K. T. M. Takenaka Brazil 2 9 1.0× 2 0.7× 4 2.0× 3 1.5× 2 15

Countries citing papers authored by Peter Niimi

Since Specialization
Citations

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

Fields of papers citing papers by Peter Niimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Niimi

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Niimi. A scholar is included among the top collaborators of Peter Niimi 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 Peter Niimi. Peter Niimi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Minteer, Christopher J., Kyra Thrush, John Gonzalez, et al.. (2023). More than bad luck: Cancer and aging are linked to replication-driven changes to the epigenome. Science Advances. 9(29). eadf4163–eadf4163. 11 indexed citations
2.
Niimi, Peter, et al.. (2021). Epigenetic Trajectories of Aging and Reprogramming. Innovation in Aging. 5(Supplement_1). 664–665. 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.

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