Ümit Topaloĝlu

93 papers receiving 1.8k citations

Peers

Ümit Topaloĝlu
Comparison fields: 5 of 141
  • Health Informatics 42
  • Health Information Management 106
  • Toxicology 78
  • Oncology 359
  • Cancer Research 168
Replace Ju Han Kim with:
Ju Han Kim South Korea
Naoki Nakashima Japan
Ahmed Sultan Egypt
Hans‐Georg Eichler Austria
Lilly Q. Yue United States
Kunlun He China
Jörg Kreuzer Germany
Alexander Turchin United States
QiPing Feng United States
Honggang Yu China
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Citations per year

Countries citing papers authored by Ümit Topaloĝlu

Since Specialization
Citations

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

Fields of papers citing papers by Ümit Topaloĝlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20244
4 20232
5 20237
6 202310
7 20220
8 202125
9
Building Cancer Diagnosis Text to OncoTree Mapping Pipelines for Clinical Sequencing Data Integration and Curation.
20201
10 202027
11 201844
12 20180
13 201448
14 20146
15 201118
16 201130
17
Peptik ülser perforasyonunda morbiditeyi çap, mortaliteyi ileri yaş ve yüksek asa skoru belirler
20081
18 200751
19
Surgical Treatment of Hydatid Disease of the Liver
20063
20
KARIN TRAVMALARI İÇİN LAPAROTOMİ
19951

About Ümit Topaloĝlu

Ümit Topaloĝlu is a scholar working on Health Information Management, Health Informatics, Cancer Research, Artificial Intelligence and Information Systems and Management, having authored 98 papers that have together received 1.9k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (16 papers), Cancer Genomics and Diagnostics (10 papers), Electronic Health Records Systems (10 papers), Lung Cancer Treatments and Mutations (8 papers), Ethics in Clinical Research (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Semantic Web and Ontologies (6 papers) and Brain Metastases and Treatment (5 papers). The work is most often cited by research in Health Informatics (42 citations), Health Information Management (106 citations), Toxicology (78 citations), Oncology (359 citations) and Cancer Research (168 citations). Ümit Topaloĝlu has collaborated with scholars based in United States, Türkiye and China. Frequent co-authors include Matvey B. Palchuk, Jiang Bian, Ender Dulundu, Göksel Şener, Ferıha Ercan, Erkan Özkan, Özer Şehırlı, Boris Pasche, Ahmet Özer Şehirli and Nursal Gedik. Their work appears in journals such as Journal of Clinical Oncology, JCO Clinical Cancer Informatics, Cancers, Surgery Today and Journal of Surgical Research.

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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