Musaffe Tuna

860 citations
22 papers · 673 indexed · h-index 13

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Renal and related cancers
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer

Papers in

    • Cancer Genomics and Diagnostics 6
    • Genetic Syndromes and Imprinting 5
    • Genomic variations and chromosomal abnormalities 3

Musaffe Tuna

22 papers receiving 653 citations

Peers

Musaffe Tuna
Comparison fields: 5 of 75
  • Cancer Research 217
  • Molecular Biology 415
  • Pathology and Forensic Medicine 96
  • Genetics 133
  • Oncology 128
Replace Gang Liang with:
Gang Liang China
Cristina Mirantes Spain
D. D. Giri United Kingdom
Kirsten Kübler Germany
Susanna Mannisto Finland
J Hanai Japan
Claudia Augello Italy
Marieke Levitus Netherlands
Daniel A. Haber United States
Jörg Weimer Germany
Musaffe Tuna relative to Gang Liang China Gang Liang's profile →
Citations per field
00.5×2.6×
Gang Liang · 1×
Citations per year

Countries citing papers authored by Musaffe Tuna

Since Specialization
Citations

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

Fields of papers citing papers by Musaffe Tuna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20226
3 20203
4 20191
5 201918
6 201959
7 201931
8 201512
9 20144
10 20135
11 201226
12 20128
13 201116
14 201017
15 200979
16 2009134
17 200565
18 200439
19 200257
20 199510

About Musaffe Tuna

Musaffe Tuna is a scholar working on Cancer Research, Genetics, Reproductive Medicine, Otorhinolaryngology and Molecular Biology, having authored 22 papers that have together received 673 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Genetic Syndromes and Imprinting (5 papers), Renal and related cancers (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Cancer-related Molecular Pathways (3 papers), Reproductive Biology and Fertility (2 papers), Epigenetics and DNA Methylation (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cancer Research (217 citations), Molecular Biology (415 citations), Pathology and Forensic Medicine (96 citations), Genetics (133 citations) and Oncology (128 citations). Musaffe Tuna has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Gordon B. Mills, Christopher I. Amos, Sakari Knuutila, Ana M. Tari, Arturo Chávez‐Reyes, George A. Călin, Zhenlin Ju, Pablo Zapata‐Benavides, Gabriel Lopez‐Berestein and Marcel Smid. Their work appears in journals such as Neoplasia, Oncotarget, BMC Medical Genomics, Trends in Molecular Medicine and British 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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