Michael Mitas

2.5k citations
32 papers · 2.1k · h-index 21

Impact in

Papers in

Michael Mitas

32 papers receiving 2.0k citations

Peers

Michael Mitas
Comparison fields: 5 of 96
  • Cancer Research 296
  • Oncology 524
  • Cellular and Molecular Neuroscience 336
  • Molecular Biology 1.2k
  • Genetics 247
Replace Emil Bogenmann with:
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Jerónimo Blanco Spain
Dongping He China
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Shimpei Nishikawa Japan
Carme Cortina Spain
W. Nathaniel Brennen United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Mitas

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mitas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004474
2 1997258
3 2001167
4 2010148
5 1995129
6 1995100
7
Molecular detection of breast cancer cells in the peripheral blood of advanced-stage breast cancer patients using multimarker real-time reverse transcription-polymerase chain reaction and a novel porous barrier density gradient centrifugation technology.
200383
8 199767
9 200658
10 199555
11 200554
12 200351
13 199541
14 200340
15 200338
16 200237
17 200836
18 200829
19 199928
20 200526

About Michael Mitas

Michael Mitas is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Cancer Research and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (6 papers), Molecular Biology Techniques and Applications (5 papers), DNA Repair Mechanisms (4 papers), Genetic Neurodegenerative Diseases (4 papers), RNA and protein synthesis mechanisms (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (296 citations), Oncology (524 citations), Cellular and Molecular Neuroscience (336 citations), Molecular Biology (1.2k citations) and Genetics (247 citations). Michael Mitas has collaborated with scholars based in United States and Ireland. Frequent co-authors include William E. Gillanders, David J. Cole, Kaidi Mikhitarian, Adong Yu, Walid Osta, Ian S. Haworth, Mohamed L. Salem, Yusuf A. Hannun, Timothy J. Kamp and Eric J. Chambers. Their work appears in journals such as Nucleic Acids Research, Biochemistry, Clinical Cancer Research, Journal of Molecular Diagnostics and International Journal of Cancer.

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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