Marie E. Monaco

2.8k citations
60 papers · 2.4k indexed · h-index 26

Marie E. Monaco

60 papers receiving 2.3k citations

Peers

Marie E. Monaco
Comparison fields: 5 of 111
  • Cancer Research 618
  • Endocrinology, Diabetes and Metabolism 361
  • Molecular Biology 1.4k
  • Biochemistry 124
  • Cell Biology 250
Replace Ingeborg Hers with:
Ingeborg Hers United Kingdom
Michał Bieńkowski Poland
Terutaka Tsuda Japan
Jean‐Sébastien Annicotte France
Richard P. DiAugustine United States
Evangeline D. Motley United States
Jianxin Xie China
John J Gildea United States
George Kulik United States
Nicola Perrotti Italy
Marie E. Monaco relative to Ingeborg Hers United Kingdom Ingeborg Hers's profile →
Citations per field
00.5×1.5×2.0×
Ingeborg Hers · 1×
Citations per year

Countries citing papers authored by Marie E. Monaco

Since Specialization
Citations

This map shows the geographic impact of Marie E. Monaco'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. Monaco 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. Monaco more than expected).

Fields of papers citing papers by Marie E. Monaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Lipid metabolism in prostate cancer.
2014159
2 201395
3
Tetralogy of Fallot: fetal diagnosis to surgical correction.
20127
4 201131
5 20065
6 20062
7 200613
8 20045
9 200470
10 2003264
11 20021
12 199847
13 19976
14 19971
15 19952
16 199025
17 198819
18 19884
19 19824
20
Effects of estrone, estradiol, and estriol on hormone-responsive human breast cancer in long-term tissue culture.
1977115

About Marie E. Monaco

Marie E. Monaco is a scholar working on Biochemistry, Cancer Research, Cell Biology, Surgery and Molecular Biology, having authored 60 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (19 papers), Ion Transport and Channel Regulation (9 papers), Electrolyte and hormonal disorders (9 papers), Cancer, Lipids, and Metabolism (9 papers), Neuroendocrine regulation and behavior (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Lipid metabolism and biosynthesis (7 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). The work is most often cited by research in Cancer Research (618 citations), Endocrinology, Diabetes and Metabolism (361 citations), Molecular Biology (1.4k citations), Biochemistry (124 citations) and Cell Biology (250 citations). Marie E. Monaco has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Marc E. Lippman, Gail Bolan, Peng Lee, Garrett Daniels, Xinyu Wu, C. Kent Osborne, Marvin C. Gershengorn, David L. Kleinberg, Daniel Woods and Johannes L. Bos. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Endocrinology and Molecular Endocrinology.

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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