Tímea Tőkés

406 citations
21 papers · 276 · h-index 8

Impact in

Papers in

    • Breast Cancer Treatment Studies 6
    • Cancer Genomics and Diagnostics 2
    • Cancer Immunotherapy and Biomarkers 3
    • Cancer-related Molecular Pathways 2
    • Pancreatic and Hepatic Oncology Research 1

Tímea Tőkés

21 papers receiving 273 citations

Peers

Tímea Tőkés
Comparison fields: 5 of 59
  • Cancer Research 67
  • Radiology, Nuclear Medicine and Imaging 78
  • Oncology 75
  • Pharmaceutical Science 16
  • Immunology 33
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Venkata Manem Canada
Ian R. Marsh United States
Julia Kahn United States
Günter Wolf Germany
William McLaughlin United States
Toshiki Kawabata Japan
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Kevin Rogacki United States
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Citations per field
00.5×8.3×
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Citations per year

Countries citing papers authored by Tímea Tőkés

Since Specialization
Citations

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

Fields of papers citing papers by Tímea Tőkés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201765
2 201647
3 201441
4 201626
5 201923
6 202016
7 201911
8 20168
9 20166
10
Complexity of Response Evaluation During Primary Systemic Therapy of Breast Cancer: Scoring Systems and Beyond-Preliminary Results.
20155
11 20155
12 20154
13 20204
14 20193
15 20183
16 20122
17 20162
18 20142
19 20221
20 20201

About Tímea Tőkés

Tímea Tőkés is a scholar working on Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation, having authored 21 papers that have together received 276 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Medical Imaging Techniques and Applications (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (2 papers), Radiation Therapy and Dosimetry (2 papers), Cancer-related Molecular Pathways (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Cancer Research (67 citations), Radiology, Nuclear Medicine and Imaging (78 citations), Oncology (75 citations), Pharmaceutical Science (16 citations) and Immunology (33 citations). Tímea Tőkés has collaborated with scholars based in Hungary, Romania and United States. Frequent co-authors include Janina Kulka, Magdolna Dank, Zsolt Lengyel, Gyöngyvér Szentmártoni, Balázs Ács, Attila Marcell Szász, Szabolcs Szakáll, Béla Molnár, Laura Vízkeleti and Lilla Madaras. Their work appears in journals such as Pathology & Oncology Research, Diagnostic Pathology, The Quarterly Journal of Nuclear Medicine and Molecular Imaging, Patient Education and Counseling and npj Breast 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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