Gökçe Törüner

2.0k citations
86 papers · 1.5k · h-index 20

Impact in

Papers in

Gökçe Törüner

82 papers receiving 1.5k citations

Peers

Gökçe Törüner
Comparison fields: 5 of 104
  • Obstetrics and Gynecology 148
  • Hematology 142
  • Genetics 347
  • Cancer Research 166
  • Reproductive Medicine 92
Replace Silvia Tabano with:
Silvia Tabano Italy
Shubha R. Phadke India
Florence Busato France
Tiffany Morris United Kingdom
Dusica Babovic‐Vuksanovic United States
Güven Lüleci Türkiye
Giandomenico Palka Italy
Karen M. Chisholm United States
Wendy N. Cooper United Kingdom
Maria Hoeltzenbein Germany
Gökçe Törüner relative to Silvia Tabano Italy Silvia Tabano's profile →
Citations per field
00.5×2×3×3.7×
Silvia Tabano · 1×
Citations per year

Countries citing papers authored by Gökçe Törüner

Since Specialization
Citations

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

Fields of papers citing papers by Gökçe Törüner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004140
2 200998
3 200693
4 201586
5 200282
6 200172
7 201066
8 201064
9 201160
10 201749
11
MDM2 T309G polymorphism is associated with bladder cancer.
200645
12 201243
13 201339
14 200731
15 201830
16 200129
17 201123
18 200921
19 202421
20 201820

About Gökçe Törüner

Gökçe Törüner is a scholar working on Molecular Biology, Hematology, Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Chronic Myeloid Leukemia Treatments (13 papers), Cancer Genomics and Diagnostics (13 papers), Chronic Lymphocytic Leukemia Research (9 papers), Genomic variations and chromosomal abnormalities (8 papers), Lymphoma Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (7 papers) and Sarcoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Obstetrics and Gynecology (148 citations), Hematology (142 citations), Genetics (347 citations), Cancer Research (166 citations) and Reproductive Medicine (92 citations). Gökçe Törüner has collaborated with scholars based in United States, Türkiye and China. Frequent co-authors include Deanna Streck, Tayfun Özçelık, James Dermody, Harumi Jyonouchi, Lee Geng, Cemaliye Boylu Akyerli, L. Jeffrey Medeiros, Guilin Tang, Zhenya Tang and Mesut Tez. Their work appears in journals such as Cancers, Genes, Modern Pathology, American Journal of Hematology and PLoS ONE.

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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