Robert F. Gruener

1.9k citations
12 papers · 1.1k indexed · 1 hit paper · h-index 4

Robert F. Gruener

9 papers receiving 1.1k citations

Hit Papers

oncoPredict: an R package for predicting in vivo or cance...9712021202620222024250500750

Peers

Robert F. Gruener
Comparison fields: 5 of 61
  • Cancer Research 455
  • Pulmonary and Respiratory Medicine 620
  • Oncology 331
  • Molecular Biology 642
  • Immunology 181
Replace Antonina Mitrofanova with:
Antonina Mitrofanova United States
Danielle Maeser United States
Eric C. Wooten United States
Sandra A. O’Toole Australia
Matthew J. Niederst United States
Chunde Li Sweden
Aphrothiti J. Hanrahan United States
Cor van der Leest Netherlands
Isa Mambetsariev United States
Nicholas P. Tobin Sweden
Robert F. Gruener relative to Antonina Mitrofanova United States Antonina Mitrofanova's profile →
Citations per field
00.5×3.5×
Antonina Mitrofanova · 1×
Citations per year

Countries citing papers authored by Robert F. Gruener

Since Specialization
Citations

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

Fields of papers citing papers by Robert F. Gruener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert F. Gruener. 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 Robert F. Gruener. The network helps show where Robert F. Gruener may publish in the future.

Co-authorship network

The 23 scholars most cited alongside Robert F. Gruener, 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 Robert F. Gruener Line = papers co-authored together Robert F. Gruener links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20243
2 20242
3 20240
4 20243
5 20231
6 202110
7 20211
8
oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening databreakdown →
2021971
9 20210
10 20210
11 201826
12 201788

About Robert F. Gruener

Robert F. Gruener is a scholar working on Biophysics, Genetics and Neurology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Glioma Diagnosis and Treatment (4 papers), Cell Image Analysis Techniques (4 papers), Computational Drug Discovery Methods (2 papers), Cancer Genomics and Diagnostics (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Cancer Research (455 citations), Pulmonary and Respiratory Medicine (620 citations) and Oncology (331 citations). Robert F. Gruener has collaborated with scholars based in United States and Egypt. Frequent co-authors include R. Stephanie Huang, Danielle Maeser, Gladys Morrison, Paul Geeleher, Fan Wang, Zhenyu Zhang, Robert L. Grossman, Aritro Nath, Alexander Ling and Jessica Fessler. Their work appears in journals such as Cancers, Neuro-Oncology, Cancer Research, Genome Research and Pharmacology & Therapeutics.

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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