Ogan D. Abaan

2.1k citations
14 papers · 1.2k · h-index 11

Impact in

Papers in

Ogan D. Abaan

14 papers receiving 1.2k citations

Peers

Ogan D. Abaan
Comparison fields: 5 of 78
  • Cancer Research 219
  • Genetics 147
  • Pathology and Forensic Medicine 221
  • Molecular Biology 801
  • Oncology 298
Replace Carlos García-Echeverría with:
Carlos García-Echeverría Switzerland
Sauveur-Michel Maira Switzerland
Jaime Acquaviva United States
Christoph A. Schatz Germany
Harold Hatch United States
Frédéric Stauffer Switzerland
Roustem Nabioullin Japan
Robert Lemos United States
Michel Maira Switzerland
C. Martin Curtis United States
Ogan D. Abaan relative to Carlos García-Echeverría Switzerland Carlos García-Echeverría's profile →
Citations per field
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Carlos García-Echeverría · 1×
Citations per year

Countries citing papers authored by Ogan D. Abaan

Since Specialization
Citations

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

Fields of papers citing papers by Ogan D. Abaan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ogan D. Abaan. 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 Ogan D. Abaan. The network helps show where Ogan D. Abaan may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2009348
2 2013204
3 2013180
4 2009136
5 2006105
6 200560
7 200853
8 201435
9 201329
10 201529
11 200915
12 201210
13
Gene Therapy in Human Breast Cancer
20027
14 20121

About Ogan D. Abaan

Ogan D. Abaan is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Immunology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (3 papers), RNA Research and Splicing (3 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Cancer Research (219 citations), Genetics (147 citations), Pathology and Forensic Medicine (221 citations), Molecular Biology (801 citations) and Oncology (298 citations). Ogan D. Abaan has collaborated with scholars based in United States, Netherlands and Brazil. Frequent co-authors include Jeffrey A. Toretsky, Aykut Üren, Paul S. Meltzer, Robert L. Walker, Sean Davis, Marbin Pineda, Hayriye V. Erkizan, Julie S. Barber-Rotenberg, Silke Schlottmann and Milton L. Brown. Their work appears in journals such as Cancer Research, Cancer and Metastasis Reviews, Nature Genetics, Nature Medicine and Journal of Biological Chemistry.

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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