Marie E. Beckner

1.1k citations
32 papers · 764 indexed · h-index 16

Marie E. Beckner

32 papers receiving 745 citations

Peers

Marie E. Beckner
Comparison fields: 5 of 86
  • Cancer Research 209
  • Immunology and Allergy 63
  • Genetics 69
  • Endocrinology, Diabetes and Metabolism 102
  • Molecular Biology 392
Replace Alexandre Chlenski with:
Alexandre Chlenski United States
Norbert Schuster Germany
Raffaele Tecce Italy
Greg Conn United States
Tam How United States
Meghan S. Adams United States
Ann M. Pace United States
Chien-Jui Cheng Taiwan
Agata Zieba Sweden
Kanae Kudo Japan
Marie E. Beckner relative to Alexandre Chlenski United States Alexandre Chlenski's profile →
Citations per field
00.5×2.6×
Alexandre Chlenski · 1×
Citations per year

Countries citing papers authored by Marie E. Beckner

Since Specialization
Citations

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

Fields of papers citing papers by Marie E. Beckner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie E. Beckner. 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 Marie E. Beckner. The network helps show where Marie E. Beckner may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202020
2 20158
3 20127
4 20112
5 20113
6 200994
7
ATP citrate lyase is a potential therapeutic target for suppression of aberrant metabolic adaptation in glycolytic brain tumors
20081
8 200818
9 20078
10 20064
11 200591
12 200558
13 20046
14 200433
15 200310
16 200218
17 199975
18 199912
19
Identification of a new immunoglobulin superfamily protein expressed in blood vessels with a heparin-binding consensus sequence.
199527
20 19904

About Marie E. Beckner

Marie E. Beckner is a scholar working on Cancer Research, Genetics, Immunology and Allergy, Cell Biology and Reproductive Medicine, having authored 32 papers that have together received 764 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), Glioma Diagnosis and Treatment (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Cell Adhesion Molecules Research (3 papers), Head and Neck Anomalies (2 papers), Cancer Genomics and Diagnostics (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Cancer Research (209 citations), Immunology and Allergy (63 citations), Genetics (69 citations), Endocrinology, Diabetes and Metabolism (102 citations) and Molecular Biology (392 citations). Marie E. Beckner has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Ian F. Pollack, Billy W. Day, Mary L. Stracke, Clara S. Heffess, Toshihiko Mori, James E. Oertel, Steven G. Silverberg, Jeffrey A. Kant, Lance A. Liotta and Wendy Fellows-Mayle. Their work appears in journals such as Laboratory Investigation, Human Pathology, Microvascular Research, The FASEB Journal and Cancer Research.

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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