Ümit Topaloĝlu
Impact in
- Health Informatics top 5%
-
- Electronic Health Records Systems
Papers in
-
- Electronic Health Records Systems 10
- Co-authors
- Matvey B. PalchukJiang BianEnder DulunduGöksel ŞenerFerıha ErcanErkan ÖzkanÖzer ŞehırlıBoris Pasche
- Journals
- Journal of Clinical Oncology (7 papers)JCO Clinical Cancer Informatics (6 papers)Cancers (3 papers)Surgery Today (3 papers)Journal of Surgical Research (2 papers)
- Partner nations
- United StatesTürkiyeChina
In The Last Decade
Ümit Topaloĝlu
93 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 141
- Health Informatics 42
- Health Information Management 106
- Toxicology 78
- Oncology 359
- Cancer Research 168
Countries citing papers authored by Ümit Topaloĝlu
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 0 | |
| 8 | 2021 | 25 | |
| 9 | Building Cancer Diagnosis Text to OncoTree Mapping Pipelines for Clinical Sequencing Data Integration and Curation. | 2020 | 1 |
| 10 | 2020 | 27 | |
| 11 | 2018 | 44 | |
| 12 | 2018 | 0 | |
| 13 | 2014 | 48 | |
| 14 | 2014 | 6 | |
| 15 | 2011 | 18 | |
| 16 | 2011 | 30 | |
| 17 | Peptik ülser perforasyonunda morbiditeyi çap, mortaliteyi ileri yaş ve yüksek asa skoru belirler | 2008 | 1 |
| 18 | 2007 | 51 | |
| 19 | Surgical Treatment of Hydatid Disease of the Liver | 2006 | 3 |
| 20 | KARIN TRAVMALARI İÇİN LAPAROTOMİ | 1995 | 1 |
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.