Galina Statsenko

7.1k citations
25 papers · 244 · h-index 9

Impact in

    • Lung Cancer Research Studies
    • Peptidase Inhibition and Analysis
    • Cancer Immunotherapy and Biomarkers
    • Neuroendocrine Tumor Research Advances

Papers in

Galina Statsenko

25 papers receiving 239 citations

Peers

Galina Statsenko
Comparison fields: 5 of 20
  • Oncology 195
  • Epidemiology 86
  • Pulmonary and Respiratory Medicine 64
  • Cancer Research 9
  • Molecular Biology 43
Replace Philip Clingan with:
Philip Clingan Australia
Yuanbin Chen United States
María Ángeles Sala Spain
Vanesa Gutiérrez Spain
Kim Norris United States
Jacob Vinson United States
Andreas Minh Luu Germany
Shuxiang Ma China
V. Westeel France
Jay A. Moore United States
Galina Statsenko relative to Philip Clingan Australia Philip Clingan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Galina Statsenko

Since Specialization
Citations

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

Fields of papers citing papers by Galina Statsenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201939
2 202034
3 202034
4 202228
5 201725
6 202017
7 202012
8 20208
9 20218
10 20236
11 20196
12 20213
13 20173
14 20223
15 20193
16 20222
17 20222
18 20192
19 20202
20 20202

About Galina Statsenko

Galina Statsenko is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Surgery, having authored 25 papers that have together received 244 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (11 papers), Fibroblast Growth Factor Research (6 papers), Cancer therapeutics and mechanisms (5 papers), Lung Cancer Treatments and Mutations (5 papers), Renal cell carcinoma treatment (4 papers), Neuroendocrine Tumor Research Advances (3 papers), Gastric Cancer Management and Outcomes (3 papers) and Multiple and Secondary Primary Cancers (2 papers). The work is most often cited by research in Oncology (195 citations), Epidemiology (86 citations), Pulmonary and Respiratory Medicine (64 citations), Cancer Research (9 citations) and Molecular Biology (43 citations). Galina Statsenko has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include Jun Ho Ji, Jonathan W. Goldman, Luis Paz‐Ares, Niels Reinmuth, Maximilian J. Hochmair, Katsuyuki Hotta, Mustafa Özgüroğlu, Олександр Войтко, Libor Havel and Haiyi Jiang. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Clinical Genitourinary Cancer, Investigational New Drugs and 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.

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