Michael Mamounas

735 total citations
18 papers, 437 citations indexed

About

Michael Mamounas is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael Mamounas has authored 18 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Mamounas's work include Radiopharmaceutical Chemistry and Applications (3 papers), Cell death mechanisms and regulation (3 papers) and Prostate Cancer Treatment and Research (3 papers). Michael Mamounas is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (3 papers), Cell death mechanisms and regulation (3 papers) and Prostate Cancer Treatment and Research (3 papers). Michael Mamounas collaborates with scholars based in United States, France and Switzerland. Michael Mamounas's co-authors include Flossie Wong‐Staal, Ellis Englesberg, Mang Yu, Scott P. Kennedy, James Merson, Jack R. Barber, Gang Yu, Brian Leaker, Wayne J. Fairbrother and Harvey Wong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Michael Mamounas

18 papers receiving 421 citations

Peers

Michael Mamounas
Comparison fields: 5 of 62
  • Molecular Biology 321
  • Genetics 142
  • Oncology 114
  • Immunology 56
  • Virology 38
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Artur A. Serebrenik United States
I. King United States
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Artur Mitterer Austria
Chungming Chang Taiwan
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Artur A. Serebrenik United States View profile →
Citations per field, relative to Michael Mamounas
Michael Mamounas · 1×
Citations per year, relative to Michael Mamounas
Michael Mamounas · 1×

Countries citing papers authored by Michael Mamounas

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mamounas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Mamounas. 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 Michael Mamounas. The network helps show where Michael Mamounas may publish in the future.

Co-authorship network of co-authors of Michael Mamounas

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Mamounas. A scholar is included among the top collaborators of Michael Mamounas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Mamounas. Michael Mamounas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 5
2 59
3 26
4 1
5 4
6 42
7 13
8 13
9 28
10 1
11
Establishment of a highly sensitive Taqman-based assay for non-invasively detecting biomarkers expressed in circulating tumor cells in human and mouse whole blood.
2
12 51
13 96
14 5
15
Increased titer of recombinant AAV vectors by gene transfer with adenovirus coupled to DNA-polylysine complexes.
22
16 15
17 30
18 24

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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