Olivia Padovan‐Merhar

1.6k citations
8 papers · 1.0k indexed · 1 hit paper · h-index 7
Topics
Photoreceptor and optogenetics research (2 papers)Single-cell and spatial transcriptomics (2 papers)Cancer, Hypoxia, and Metabolism (2 papers)
Partner nations
United StatesSouth Korea

In The Last Decade

Olivia Padovan‐Merhar

8 papers receiving 1.0k citations

Hit Papers

Localization and abundance analysis of human lncRNAs at s...20152026201820222015100200300400500

Peers

Olivia Padovan‐Merhar
Comparison fields: 5 of 82
  • Molecular Biology 856
  • Cancer Research 492
  • Neurology 81
  • Aging 70
  • Genetics 64
Replace David Staněk with:
David Staněk Czechia
Dylan A. Reid United States
Paul D. Chastain United States
Martin Schneider Germany
Stavroula Mili United States
Eliot L. Coffey United States
Paul Sample United States
Yehuda Brody Israel
Tian Lu China
Daniele Canzio United States
Olivia Padovan‐Merhar relative to David Staněk Czechia David Staněk's profile →
Citations per field
00.5×8.8×
David Staněk · 1×
Citations per year

Countries citing papers authored by Olivia Padovan‐Merhar

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Padovan‐Merhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olivia Padovan‐Merhar. 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 Olivia Padovan‐Merhar. The network helps show where Olivia Padovan‐Merhar may publish in the future.

Co-authorship network of co-authors of Olivia Padovan‐Merhar

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 84
2 1
3 307
4
Localization and abundance analysis of human lncRNAs at single-cell and single-molecule resolutionbreakdown →
528
5 38
6 20
7 35
8 33

About Olivia Padovan‐Merhar

Olivia Padovan‐Merhar is a scholar working on Aging, Endocrine and Autonomic Systems and Cancer Research, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (2 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Aging (70 citations), Cancer Research (492 citations) and Molecular Biology (856 citations). Olivia Padovan‐Merhar has collaborated with scholars based in United States and South Korea. Frequent co-authors include Arjun Raj, Aviv Regev, Patrick D. McClanahan, John L. Rinn, Moran N. Cabili, Margaret C. Dunagin, L. Stirling Churchman, Abhyudai Singh, Gautham Nair and Shawn W. Foley. Their work appears in journals such as The Journal of Chemical Physics, Journal of Neuroscience and Molecular Cell.

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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