Amanda G. Linkous

23 papers receiving 997 citations

Amanda G. Linkous's Hit Papers

Modeling Patient-Derived Glioblastoma with Cerebral Organoids 2019 · 380 citations
3800+2+4Years since publication100200300

Peers

Amanda G. Linkous
Comparison fields: 5 of 78
  • Genetics 274
  • Cancer Research 192
  • Developmental Neuroscience 53
  • Oncology 258
  • Molecular Biology 541
Replace Sara Abbadi with:
Sara Abbadi United States
Yuan Xie China
Aurélie Tchoghandjian France
Eugene Ke United States
Koppany Visnyei United States
Katrin Deumelandt Germany
Mia Niklasson Sweden
Jin‐Kyoung Shim South Korea
Andrew J. Storaska United States
Paul R. Jamieson Australia
Amanda G. Linkous relative to Sara Abbadi United States Sara Abbadi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Amanda G. Linkous

Since Specialization
Citations

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

Fields of papers citing papers by Amanda G. Linkous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda G. Linkous. 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 Amanda G. Linkous. The network helps show where Amanda G. Linkous may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modeling Patient-Derived Glioblastoma with Cerebral Organoids
Hit paper breakdown →
2019380
2 2020124
3 201083
4 201065
5 201155
6 201349
7 200835
8 200935
9 201127
10
Novel therapeutic approaches for targeting tumor angiogenesis.
201224
11 201724
12
Novel radiosensitizing anticancer therapeutics.
201223
13 201722
14 201118
15 202016
16 202214
17 20254
18 20071
19 20081
20 20111

About Amanda G. Linkous

Amanda G. Linkous is a scholar working on Cancer Research, Genetics, Molecular Biology, Oncology and Cell Biology, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Glioma Diagnosis and Treatment (4 papers), Sphingolipid Metabolism and Signaling (4 papers), MicroRNA in disease regulation (3 papers), Cell death mechanisms and regulation (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Genetics (274 citations), Cancer Research (192 citations), Developmental Neuroscience (53 citations), Oncology (258 citations) and Molecular Biology (541 citations). Amanda G. Linkous has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Eugenia M. Yazlovitskaya, Dennis E. Hallahan, Howard Alan Fine, David J. Pisapia, Richa Singhania, Matija Snuderl, Stéfano M. Cirigliano, Lincoln Edwards, Ken Miyaguchi and Andrew J. Storaska. Their work appears in journals such as Frontiers in Oncology, International Journal of Radiation Oncology*Biology*Physics, Cancer Letters, Anti-Cancer Agents in Medicinal Chemistry and Cancer Discovery.

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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