П.Г. Мальков

898 citations
61 papers · 267 · h-index 7

Impact in

    • Viral-associated cancers and disorders
    • Mesenchymal stem cell research

Papers in

П.Г. Мальков

45 papers receiving 254 citations

Peers

П.Г. Мальков
Comparison fields: 5 of 61
  • Oncology 112
  • Genetics 35
  • Developmental Neuroscience 10
  • Cancer Research 31
  • Rehabilitation 12
Replace Gregory Goldmacher with:
Gregory Goldmacher United States
Qi Yu China
Takumi Fujimura Japan
Sarah Dawson United Kingdom
Stanley E. Waintraub United States
Masao Fujiwara Japan
Monika Dadrich Germany
Christopher Hartley United States
Casey A. Jarvis United States
Yajia Gu China
П.Г. Мальков relative to Gregory Goldmacher United States Gregory Goldmacher's profile →
Citations per field
00.5×1.5×
Gregory Goldmacher · 1×
Citations per year

Countries citing papers authored by П.Г. Мальков

Since Specialization
Citations

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

Fields of papers citing papers by П.Г. Мальков

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by П.Г. Мальков. 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 П.Г. Мальков. The network helps show where П.Г. Мальков may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201980
2 202025
3 202019
4 202114
5 201613
6 20237
7 20196
8 20196
9 20226
10 20205
11 20215
12 20205
13 20205
14 20195
15 20194
16 20214
17 20234
18 20164
19 20194
20 20203

About П.Г. Мальков

П.Г. Мальков is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 61 papers that have together received 267 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (13 papers), AI in cancer detection (9 papers), Cancer Cells and Metastasis (7 papers), Colorectal Cancer Screening and Detection (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Mesenchymal stem cell research (5 papers), Viral-associated cancers and disorders (5 papers) and Genetic factors in colorectal cancer (4 papers). The work is most often cited by research in Oncology (112 citations), Genetics (35 citations), Developmental Neuroscience (10 citations), Cancer Research (31 citations) and Rehabilitation (12 citations). П.Г. Мальков has collaborated with scholars based in Russia, Tajikistan and United States. Frequent co-authors include Н. В. Данилова, N A Oleynikova, I. А. Mikhailov, Alexander Khvostikov, Vladimir Popov, A. S. Krylov, Tkachuk Va, Нуршат Гайфуллин, Zhanna Akopyan and Anastasia Efimenko. Their work appears in journals such as Pharmaceutics, International Journal of Molecular Sciences, Ultrasound in Medicine & Biology, European Heart Journal and Biomedicines.

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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