Serghei Malkov

1.5k total citations
38 papers, 1.0k citations indexed

About

Serghei Malkov is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Serghei Malkov has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 15 papers in Artificial Intelligence and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Serghei Malkov's work include Digital Radiography and Breast Imaging (22 papers), AI in cancer detection (15 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Serghei Malkov is often cited by papers focused on Digital Radiography and Breast Imaging (22 papers), AI in cancer detection (15 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Serghei Malkov collaborates with scholars based in United States, Russia and Ireland. Serghei Malkov's co-authors include John Shepherd, Karla Kerlikowske, Lin Ma, Jeff Wang, Paul C. Painter, Bo Fan, Michael M. Coleman, He Huang, Steven R. Cummings and Amir Pasha Mahmoudzadeh and has published in prestigious journals such as Annals of Internal Medicine, PLoS ONE and Cancer Research.

In The Last Decade

Serghei Malkov

37 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serghei Malkov United States 19 581 421 376 325 135 38 1.0k
Brad M. Keller United States 17 757 1.3× 575 1.4× 309 0.8× 454 1.4× 80 0.6× 41 1.1k
Shuai Ren China 18 147 0.3× 64 0.2× 410 1.1× 255 0.8× 94 0.7× 75 873
Su Hyun Lee South Korea 25 378 0.7× 507 1.2× 331 0.9× 1.2k 3.6× 542 4.0× 87 2.0k
Qingfeng Zheng China 17 250 0.4× 34 0.1× 193 0.5× 70 0.2× 67 0.5× 63 941
Haval Balata United Kingdom 11 536 0.9× 41 0.1× 263 0.7× 183 0.6× 83 0.6× 37 992
Matthew R. Jensen United States 22 559 1.0× 449 1.1× 479 1.3× 238 0.7× 51 0.4× 47 1.3k
Agnieszka Adamczyk Poland 17 127 0.2× 31 0.1× 233 0.6× 95 0.3× 34 0.3× 72 798
Iouri Boiko United States 10 198 0.3× 56 0.1× 55 0.1× 328 1.0× 394 2.9× 17 821
Rathi Ramakrishnan United Kingdom 12 173 0.3× 29 0.1× 211 0.6× 82 0.3× 74 0.5× 29 797
Christopher C. Kuni United States 12 618 1.1× 303 0.7× 521 1.4× 278 0.9× 32 0.2× 34 1.1k

Countries citing papers authored by Serghei Malkov

Since Specialization
Citations

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

Fields of papers citing papers by Serghei Malkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serghei Malkov

This figure shows the co-authorship network connecting the top 25 collaborators of Serghei Malkov. A scholar is included among the top collaborators of Serghei Malkov 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 Serghei Malkov. Serghei Malkov 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.
Malkov, Serghei, Karen Drukker, Bethany L. Niell, et al.. (2021). Dual-energy three-compartment breast imaging for compositional biomarkers to improve detection of malignant lesions. Communications Medicine. 1(1). 29–29. 4 indexed citations
2.
Mullooly, Maeve, Shaoqi Fan, Ruth M. Pfeiffer, et al.. (2019). Using Digital Pathology to Understand Epithelial Characteristics of Benign Breast Disease among Women Undergoing Diagnostic Image-Guided Breast Biopsy. Cancer Prevention Research. 12(12). 861–870. 1 indexed citations
3.
Ma, Lin, Amir Pasha Mahmoudzadeh, Serghei Malkov, et al.. (2019). Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study. Cancer Imaging. 19(1). 41–41. 18 indexed citations
4.
Oh, Hannah, Ruth M. Pfeiffer, Roni T. Falk, et al.. (2019). Relationship of circulating insulin-like growth factor-I and binding proteins 1–7 with mammographic density among women undergoing image-guided diagnostic breast biopsy. Breast Cancer Research. 21(1). 81–81. 12 indexed citations
5.
Malkov, Serghei, et al.. (2018). Ophthalmic manifestations of facial nerve palsy. Russian Annals of Ophthalmology. 134(3). 116–116. 2 indexed citations
6.
Engmann, Natalie J., Christopher G. Scott, Matthew R. Jensen, et al.. (2017). Longitudinal Changes in Volumetric Breast Density with Tamoxifen and Aromatase Inhibitors. Cancer Epidemiology Biomarkers & Prevention. 26(6). 930–937. 36 indexed citations
7.
Malkov, Serghei, et al.. (2017). Staged complex treatment of paralytic lagophthalmos (case report). Russian Annals of Ophthalmology. 133(1). 75–75. 3 indexed citations
8.
Engmann, Natalie J., Celine M. Vachon, Christopher G. Scott, et al.. (2016). Abstract 3424: Longitudinal changes in volumetric breast density with adjuvant endocrine therapy among women with breast cancer. Cancer Research. 76(14_Supplement). 3424–3424. 2 indexed citations
9.
Malkov, Serghei, John Shepherd, Christopher G. Scott, et al.. (2016). Mammographic texture and risk of breast cancer by tumor type and estrogen receptor status. Breast Cancer Research. 18(1). 122–122. 37 indexed citations
10.
Reeves, Katherine W., Susan R. Sturgeon, Nicholas G Reich, et al.. (2015). The Effect of Change in Body Mass Index on Volumetric Measures of Mammographic Density. Cancer Epidemiology Biomarkers & Prevention. 24(11). 1724–1730. 27 indexed citations
11.
Brandt, Kathleen R., Christopher G. Scott, Lin Ma, et al.. (2015). Comparison of Clinical and Automated Breast Density Measurements: Implications for Risk Prediction and Supplemental Screening. Radiology. 279(3). 710–719. 141 indexed citations
12.
Malkov, Serghei & John Shepherd. (2014). Combining 3D optical imaging and dual energy absorptiometry to measure three compositional components. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8937. 893714–893714. 1 indexed citations
13.
Drukker, Karen, Fred Duewer, Maryellen L. Giger, et al.. (2014). Mammographic quantitative image analysis and biologic image composition for breast lesion characterization and classification. Medical Physics. 41(3). 31915–31915. 11 indexed citations
14.
Malkov, Serghei, Karla Kerlikowske, & John Shepherd. (2014). Automated volumetric breast density derived by shape and appearance modeling. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9034. 90342T–90342T. 2 indexed citations
15.
Shepherd, John, Karla Kerlikowske, Lin Ma, et al.. (2011). Volume of Mammographic Density and Risk of Breast Cancer. Cancer Epidemiology Biomarkers & Prevention. 20(7). 1473–1482. 131 indexed citations
16.
Malkov, Serghei, et al.. (2009). Compositional breast imaging using a dual‐energy mammography protocol. Medical Physics. 37(1). 164–174. 53 indexed citations
17.
Malkov, Serghei, Jeff Wang, Karla Kerlikowske, Steven R. Cummings, & John Shepherd. (2009). Single x‐ray absorptiometry method for the quantitative mammographic measure of fibroglandular tissue volume. Medical Physics. 36(12). 5525–5536. 52 indexed citations
18.
Shepherd, John, et al.. (2008). Breast Density Assessment in Adolescent Girls Using Dual-Energy X-ray Absorptiometry: A Feasibility Study. Cancer Epidemiology Biomarkers & Prevention. 17(7). 1709–1713. 32 indexed citations
19.
Stepanov, A. I., et al.. (2008). Shipborne lidar for hydrological research. Journal of Optical Technology. 75(2). 101–101. 4 indexed citations
20.
Malkov, Serghei, Jeff Wang, & John Shepherd. (2007). Novel single x-ray absorptiometry method to solve for volumetric breast density in mammograms with paddle tilt. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6510. 651035–651035. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Brad M. Keller Breakdown of academic impact, for papers by Shuai Ren Breakdown of academic impact, for papers by Su Hyun Lee Breakdown of academic impact, for papers by Qingfeng Zheng Breakdown of academic impact, for papers by Haval Balata Breakdown of academic impact, for papers by Matthew R. Jensen Breakdown of academic impact, for papers by Agnieszka Adamczyk Breakdown of academic impact, for papers by Iouri Boiko Breakdown of academic impact, for papers by Rathi Ramakrishnan Breakdown of academic impact, for papers by Christopher C. Kuni
Rankless by CCL
2026