Maria Timofeeva

7.0k citations
67 papers · 2.0k · h-index 24

Impact in

Papers in

Maria Timofeeva

62 papers receiving 2.0k citations

Peers

Maria Timofeeva
Comparison fields: 5 of 119
  • Nephrology 257
  • Pathology and Forensic Medicine 354
  • Cancer Research 172
  • Genetics 289
  • Molecular Biology 688
Replace Kimberly A. Lowe with:
Kimberly A. Lowe United States
Beatriz Fernández‐Fernández Spain
Haiyan Fu China
Kazuto Hirata Japan
Haiyan Wang China
François Glowacki France
Tadashi Toyama Japan
Mandy van Hoek Netherlands
Xi Zheng China
Maria Timofeeva relative to Kimberly A. Lowe United States Kimberly A. Lowe's profile →
Citations per field
00.5×3.0×
Kimberly A. Lowe · 1×
Citations per year

Countries citing papers authored by Maria Timofeeva

Since Specialization
Citations

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

Fields of papers citing papers by Maria Timofeeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017265
2 2016126
3 2016109
4 2017100
5 200898
6 201996
7 201683
8 201981
9 201867
10 201867
11 201861
12 201958
13 200953
14 201051
15 201849
16 202249
17 201046
18 201941
19 202037
20 202436

About Maria Timofeeva

Maria Timofeeva is a scholar working on Genetics, Pathology and Forensic Medicine, Molecular Biology, Cancer Research and Oncology, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (16 papers), Vitamin D Research Studies (11 papers), Genetic factors in colorectal cancer (11 papers), Glutathione Transferases and Polymorphisms (6 papers), Glycosylation and Glycoproteins Research (5 papers), Epigenetics and DNA Methylation (4 papers), Nutrition, Genetics, and Disease (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Nephrology (257 citations), Pathology and Forensic Medicine (354 citations), Cancer Research (172 citations), Genetics (289 citations) and Molecular Biology (688 citations). Maria Timofeeva has collaborated with scholars based in United Kingdom, Denmark and China. Frequent co-authors include Evropi Τheodoratou, Xue Li, Harry Campbell, Malcolm G. Dunlop, Xiangrui Meng, John P. A. Ioannidis, Susan M. Farrington, Ioanna Tzoulaki, Yazhou He and Konstantinos K. Tsilidis. Their work appears in journals such as International Journal of Cancer, British Journal of Cancer, Scientific Reports, Cancer Epidemiology Biomarkers & Prevention and Nature Communications.

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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