Matvey B. Palchuk
- Oncology top 10%
- Health Information Management top 0.5%
- Epidemiology
- Surgery
- General Health Professions top 10%
- Co-authors
- Ümit TopaloĝluJack LondonElnara Fazio‐EynullayevaChristopher McNairPeter SankeyBrecht ClaerhoutDavid Pérez-ReyJohn L. Esposito
- Topics
- Biomedical Text Mining and Ontologies (13 papers)Electronic Health Records Systems (12 papers)Global Cancer Incidence and Screening (4 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaClinical Cancer Research
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Matvey B. Palchuk
35 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Oncology 277
- Health Information Management 201
- Epidemiology 148
- Surgery 139
- General Health Professions 113
Countries citing papers authored by Matvey B. Palchuk
This map shows the geographic impact of Matvey B. Palchuk'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 Matvey B. Palchuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matvey B. Palchuk more than expected).
Fields of papers citing papers by Matvey B. Palchuk
This network shows the impact of papers produced by Matvey B. Palchuk. 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 Matvey B. Palchuk. The network helps show where Matvey B. Palchuk may publish in the future.
Co-authorship network of co-authors of Matvey B. Palchuk
This figure shows the co-authorship network connecting the top 25 collaborators of Matvey B. Palchuk. A scholar is included among the top collaborators of Matvey B. Palchuk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matvey B. Palchuk. Matvey B. Palchuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | A global federated real-world data and analytics platform for researchbreakdown → | 264 |
| 9 | 24 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | Aligning an Administrative Procedure Coding System with SNOMED CT. | 1 |
| 15 | 200 | |
| 16 | 46 | |
| 17 | 49 | |
| 18 | 81 | |
| 19 | 15 | |
| 20 | Implementing renal impairment and geriatric decision support in ambulatory e-prescribing. | 5 |
About Matvey B. Palchuk
Matvey B. Palchuk is a scholar working on Health Information Management, Family Practice and Geriatrics and Gerontology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (13 papers), Electronic Health Records Systems (12 papers) and Global Cancer Incidence and Screening (4 papers). The work is most often cited by research in Health Information Management (201 citations), Geriatrics and Gerontology (79 citations) and Family Practice (39 citations). Matvey B. Palchuk has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Ümit Topaloĝlu, Jack London, Elnara Fazio‐Eynullayeva, Christopher McNair, Peter Sankey, Brecht Claerhout, David Pérez-Rey, John L. Esposito, Zuzanna Drebert and C. Thompson. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Clinical Cancer 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.