Michael Cerra

1.1k citations
13 papers · 909 indexed · h-index 11

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Hematology top 10%
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

Michael Cerra

13 papers receiving 892 citations

Peers

Michael Cerra
Comparison fields: 5 of 65
  • Genetics 180
  • Hematology 123
  • Molecular Biology 647
  • Internal Medicine 33
  • Oncology 217
Replace Paraskevi Kotsi with:
Paraskevi Kotsi Greece
S.H. Rosenberg United States
Masahito Kawata Japan
Gabriel Krigsfeld United States
Lavina Bharwani Singapore
David L. Straight United States
Takanori Moriki Japan
Rahn Kollander United States
Lisa Nannizzi‐Alaimo United States
Sarah H. Kim United States
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Citations per field
00.5×2.8×
Paraskevi Kotsi · 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 202169
2 20202
3 201778
4 201411
5
The effects of simvastatin on the pharmacokinectics of sitagliptin.
20128
6 200580
7 2004169
8 200427
9 200481
10
Flavopiridol enhances human tumor cell radiosensitivity and prolongs expression of gammaH2AX foci.
200435
11 200429
12 2004183
13
Gleevec-mediated inhibition of Rad51 expression and enhancement of tumor cell radiosensitivity.
2003137

About Michael Cerra

Michael Cerra is a scholar working on Hematology, Cancer Research, Genetics, Hepatology and Molecular Biology, having authored 13 papers that have together received 909 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Epigenetics and DNA Methylation (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Cancer-related Molecular Pathways (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Genetics (180 citations), Hematology (123 citations), Molecular Biology (647 citations), Internal Medicine (33 citations) and Oncology (217 citations). Michael Cerra has collaborated with scholars based in United States and Germany. Frequent co-authors include Kevin Camphausen, William Burgan, Philip J. Tofilon, Kelli Oswald, David Cerna, Jeffery S. Russell, Jane B. Trepel, Min-Jung Lee, Mary Sproull and Howard A. Fine. Their work appears in journals such as Molecular Cancer Therapeutics, Clinical Cancer Research, Arteriosclerosis Thrombosis and Vascular Biology, 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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