Brendan T. Innes

3.3k citations
13 papers · 950 indexed · 1 hit paper · h-index 9

Brendan T. Innes

12 papers receiving 946 citations

Hit Papers

Single-cell transcriptomic profiling of the aging mouse b...4392019202620212023100200300400

Peers

Brendan T. Innes
Comparison fields: 5 of 92
  • Developmental Neuroscience 160
  • Neurology 258
  • Aging 36
  • Biological Psychiatry 26
  • Biophysics 56
Replace Nathalie Saurat with:
Nathalie Saurat United States
Robert Glumm Germany
Patrick Ventura United States
Kun Leng United States
Kristopher L. Nazor United States
An‐Chi Tien United States
Andrew McKay United States
Parham Nejad United States
Benjamin L.L. Clayton United States
Angelo Raggioli Germany
Brendan T. Innes relative to Nathalie Saurat United States Nathalie Saurat's profile →
Citations per field
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Nathalie Saurat · 1×
Citations per year

Countries citing papers authored by Brendan T. Innes

Since Specialization
Citations

This map shows the geographic impact of Brendan T. Innes'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 Brendan T. Innes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brendan T. Innes more than expected).

Fields of papers citing papers by Brendan T. Innes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brendan T. Innes. 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 Brendan T. Innes. The network helps show where Brendan T. Innes may publish in the future.

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20251
2 20232
3 20230
4 202240
5 2021126
6 20217
7 202047
8 202067
9
Single-cell transcriptomic profiling of the aging mouse brainbreakdown →
2019439
10 2017139
11 201519
12 201332
13 199631

About Brendan T. Innes

Brendan T. Innes is a scholar working on Developmental Neuroscience, Biophysics, Immunology, Molecular Biology and Hepatology, having authored 13 papers that have together received 950 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Signaling Pathways in Disease (2 papers), Peptidase Inhibition and Analysis (2 papers), Immune cells in cancer (2 papers), RNA Research and Splicing (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Developmental Neuroscience (160 citations), Neurology (258 citations), Aging (36 citations), Biological Psychiatry (26 citations) and Biophysics (56 citations). Brendan T. Innes has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Gary D. Bader, Sonya A. MacParland, Stuart S. Levine, Lee L. Rubin, Ceren Ozek, Sean Simmons, Vincent L. Butty, Xian Adiconis, Ruth Isserlin and Joshua Z. Levin. Their work appears in journals such as Cell Reports, Scientific Reports, Journal of Hypertension, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Nature Neuroscience.

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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