Michael Cerra

1.1k citations
13 papers · 952 · h-index 11

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
  • Hematology top 10%

Papers in

    • DNA Repair Mechanisms 3
    • Epigenetics and DNA Methylation 3
    • Protein Degradation and Inhibitors 2
    • Histone Deacetylase Inhibitors Research 2
    • Heat shock proteins research 1
    • Cancer-related Molecular Pathways 3

Michael Cerra

13 papers receiving 932 citations

Peers

Michael Cerra
Comparison fields: 5 of 61
  • Genetics 160
  • Hematology 111
  • Internal Medicine 29
  • Molecular Biology 599
  • Oncology 185
Replace S.H. Rosenberg with:
S.H. Rosenberg United States
Rahn Kollander United States
David L. Straight United States
Lavina Bharwani Singapore
Michael L. Tidwell United States
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Takanori Moriki Japan
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Citations per field
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S.H. Rosenberg · 1×
Citations per year

Countries citing papers authored by Michael Cerra

Since Specialization
Citations

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

Fields of papers citing papers by Michael Cerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2004190
2 2004178
3
Gleevec-mediated inhibition of Rad51 expression and enhancement of tumor cell radiosensitivity.
2003139
4 200583
5 200483
6 201783
7 202175
8
Flavopiridol enhances human tumor cell radiosensitivity and prolongs expression of gammaH2AX foci.
200437
9 200433
10 200429
11 201412
12
The effects of simvastatin on the pharmacokinectics of sitagliptin.
20128
13 20202

About Michael Cerra

Michael Cerra is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Cancer Research, having authored 13 papers that have together received 952 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related Molecular Pathways (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Protein Degradation and Inhibitors (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Heat shock proteins research (1 paper). The work is most often cited by research in Genetics (160 citations), Hematology (111 citations), Internal Medicine (29 citations), Molecular Biology (599 citations) and Oncology (185 citations). Michael Cerra has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Philip J. Tofilon, William Burgan, Kevin Camphausen, Kelli Oswald, David Cerna, Jeffery S. Russell, Min-Jung Lee, Jane B. Trepel, Tamalee Scott and Howard A. Fine. Their work appears in journals such as Molecular Cancer Therapeutics, Clinical Cancer Research, Antiviral Therapy, European Heart Journal 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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