П.Г. Мальков

898 total citations
61 papers, 267 citations indexed

About

П.Г. Мальков is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, П.Г. Мальков has authored 61 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 18 papers in Pulmonary and Respiratory Medicine and 14 papers in Surgery. Recurrent topics in П.Г. Мальков's work include Gastric Cancer Management and Outcomes (13 papers), AI in cancer detection (9 papers) and Colorectal Cancer Screening and Detection (7 papers). П.Г. Мальков is often cited by papers focused on Gastric Cancer Management and Outcomes (13 papers), AI in cancer detection (9 papers) and Colorectal Cancer Screening and Detection (7 papers). П.Г. Мальков collaborates with scholars based in Russia, Tajikistan and United States. П.Г. Мальков's co-authors include Н. В. Данилова, N A Oleynikova, I. А. Mikhailov, A. S. Krylov, Vladimir Popov, Alexander Khvostikov, Tkachuk Va, П. И. Макаревич, Нуршат Гайфуллин and Peter Nimiritsky and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and European Heart Journal.

In The Last Decade

П.Г. Мальков

45 papers receiving 254 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
П.Г. Мальков Russia 7 112 60 54 54 36 61 267
Chiara Baldovini Italy 10 81 0.7× 41 0.7× 83 1.5× 54 1.0× 57 1.6× 24 261
Alexander Yakobson Israel 12 252 2.3× 51 0.8× 46 0.9× 107 2.0× 31 0.9× 48 378
Jiro Ogino Japan 12 119 1.1× 85 1.4× 66 1.2× 165 3.1× 49 1.4× 27 398
Rosa Maria Di Crescenzo Italy 13 46 0.4× 78 1.3× 84 1.6× 73 1.4× 48 1.3× 46 351
Asghar Naqvi Canada 10 89 0.8× 110 1.8× 59 1.1× 113 2.1× 39 1.1× 36 362
Lucio De Maria Italy 11 84 0.8× 37 0.6× 130 2.4× 45 0.8× 54 1.5× 32 357
Nazaneen N. Grant United States 10 78 0.7× 61 1.0× 108 2.0× 97 1.8× 41 1.1× 18 371
Christopher Hartley United States 11 159 1.4× 45 0.8× 117 2.2× 78 1.4× 72 2.0× 61 362
Scott Melvin United States 6 154 1.4× 84 1.4× 81 1.5× 59 1.1× 28 0.8× 9 451
Mária Gődény Hungary 10 105 0.9× 50 0.8× 125 2.3× 60 1.1× 18 0.5× 38 333

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-authorship network of co-authors of П.Г. Мальков

This figure shows the co-authorship network connecting the top 25 collaborators of П.Г. Мальков. A scholar is included among the top collaborators of П.Г. Мальков 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 П.Г. Мальков. П.Г. Мальков is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Khvostikov, Alexander, et al.. (2024). Joint Super-resolution and Tissue Patch Classification for Whole Slide Histological Images. Programming and Computer Software. 50(3). 257–263.
3.
Rosnitskiy, Pavel B., S. A. Tsysar, Maria M. Karzova, et al.. (2023). Pilot ex vivo study on non-thermal ablation of human prostate adenocarcinoma tissue using boiling histotripsy. Ultrasonics. 133. 107029–107029. 7 indexed citations
4.
Khvostikov, Alexander, et al.. (2023). PathScribe: new software to work with whole slide histological images for education and research. 63–70. 2 indexed citations
5.
Данилова, Н. В., et al.. (2023). Prognostic significance of PD-L1 expression as a potential predictor of survival in gastric cancer. Russian Journal of Archive of Pathology. 85(4). 18–18.
6.
Климашина, Е. С., П. В. Евдокимов, А. А. Тихонов, et al.. (2023). Properties of Calcium Phosphate/Hydrogel Bone Grafting Composite on the Model of Diaphyseal Rat Femur’s Defect: Experimental Study. SHILAP Revista de lepidopterología. 30(1). 25–35.
7.
Basalova, Nataliya, V. Yu. Balabanyan, Anastasia Efimenko, et al.. (2023). The Secretome of Mesenchymal Stromal Cells in Treating Intracerebral Hemorrhage: The First Step to Bedside. Pharmaceutics. 15(6). 1608–1608. 4 indexed citations
8.
Данилова, Н. В., et al.. (2023). Automated Assessment of the Area of Infiltration by CD8+ Cells in Gastric Carcinoma and Areas of Normal Mucosa as a Significant Prognostic Factor. Bulletin of Experimental Biology and Medicine. 175(4). 508–512. 1 indexed citations
9.
Данилова, Н. В., I. А. Mikhailov, Д. В. Калинин, et al.. (2022). Study of gastric adenocarcinomas association with the Epstein-Barr virus-encoded small RNAs. Russian Journal of Archive of Pathology. 84(2). 5–5. 1 indexed citations
10.
Oleynikova, N A, et al.. (2022). Detection, Role and Prognostic Value of Cancer-associated Fibroblasts in Colorectal Cancer. Indian Journal of Surgical Oncology. 14(1). 186–193.
11.
Данилова, Н. В., et al.. (2021). CHARACTERISTICS OF THE IMMUNE MICROENVIRONMENT OF THE NORMAL MUCOUS MEMBRANE OF THE PERITUMORAL AREA IS AN ADDITIONAL INDEPENDENT PROGNOSTIC FACTOR IN GASTRIC CANCER. SHILAP Revista de lepidopterología. 20(1). 74–86. 2 indexed citations
12.
Khvostikov, Alexander, A. S. Krylov, I. А. Mikhailov, П.Г. Мальков, & Н. В. Данилова. (2021). Tissue Type Recognition in Whole Slide Histological Images. 496–507. 4 indexed citations
13.
Oleynikova, N A, et al.. (2021). Epstein–Barr Virus in the Development of Colorectal Cancer (Review). Sovremennye tehnologii v medicine. 13(4). 82–82. 5 indexed citations
14.
Мальков, П.Г., et al.. (2020). Specificity of hand-foot skin reaction induced by multikinase inhibitors: clinical, histological and ultrasound characteristics. SHILAP Revista de lepidopterología. 10(2). 30–37.
15.
Oleynikova, N A, П.Г. Мальков, & Н. В. Данилова. (2020). A new one in the classification of benign colon epithelial tumors (WHO, 2019, 5th edition). Russian Journal of Archive of Pathology. 82(2). 35–35. 2 indexed citations
16.
Khvostikov, Alexander, A. S. Krylov, I. А. Mikhailov, & П.Г. Мальков. (2019). Trainable Active Contour Model for Histological Image Segmentation. Scientific Visualization. 11(3). 4 indexed citations
17.
Данилова, Н. В., П.Г. Мальков, N A Oleynikova, & I. А. Mikhailov. (2019). Epstein-Barr virus-associated gastric adenocarcinoma. Russian Journal of Archive of Pathology. 81(3). 74–74. 80 indexed citations
18.
Ковалева, О. В., et al.. (2017). A Novel Monoclonal Antibody Against Alpha-Methylacyl-CoA Racemase Applicable for Paraffin-Embedded Tissues and Diagnostics of Prostate Cancer. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 36(1). 30–34.
19.
Данилова, Н. В., et al.. (2016). Markers of angiogenesis in tumor growth. Russian Journal of Archive of Pathology. 78(2). 55–55. 13 indexed citations
20.
Данилова, Н. В., et al.. (2015). Serrated lesions of the large bowel. Russian Journal of Archive of Pathology. 77(1). 60–60. 1 indexed citations

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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