V Moskvin

1.3k total citations
61 papers, 829 citations indexed

About

V Moskvin is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, V Moskvin has authored 61 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Radiation, 42 papers in Pulmonary and Respiratory Medicine and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in V Moskvin's work include Radiation Therapy and Dosimetry (41 papers), Advanced Radiotherapy Techniques (38 papers) and Radiation Detection and Scintillator Technologies (17 papers). V Moskvin is often cited by papers focused on Radiation Therapy and Dosimetry (41 papers), Advanced Radiotherapy Techniques (38 papers) and Radiation Detection and Scintillator Technologies (17 papers). V Moskvin collaborates with scholars based in United States, Japan and United Kingdom. V Moskvin's co-authors include Colleen DesRosiers, Lech Papież, Indra J. Das, Alex F. Bielajew, Peter A.S. Johnstone, Robert Timmerman, Tatsuo Tabata, George A. Sandison, Keith M. Stantz and Paul Desrosiers and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

V Moskvin

57 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V Moskvin United States 15 566 522 262 115 104 61 829
Masataka Komori Japan 20 989 1.7× 915 1.8× 305 1.2× 137 1.2× 144 1.4× 83 1.3k
Stephen Avery United States 17 725 1.3× 726 1.4× 238 0.9× 22 0.2× 251 2.4× 52 1.1k
Leonhard Karsch Germany 20 739 1.3× 793 1.5× 264 1.0× 304 2.6× 33 0.3× 44 1.1k
Elisabeth Leßmann Germany 14 360 0.6× 428 0.8× 205 0.8× 145 1.3× 15 0.1× 23 590
Daniel Robertson United States 15 690 1.2× 632 1.2× 174 0.7× 69 0.6× 43 0.4× 47 821
Chul Hee Min South Korea 17 991 1.8× 981 1.9× 286 1.1× 35 0.3× 100 1.0× 88 1.4k
Samuel España Spain 20 914 1.6× 608 1.2× 788 3.0× 46 0.4× 174 1.7× 92 1.4k
P. Vaz Portugal 15 395 0.7× 328 0.6× 401 1.5× 64 0.6× 145 1.4× 95 855
T. Toshito Japan 21 1.1k 1.9× 1.1k 2.1× 283 1.1× 131 1.1× 66 0.6× 86 1.4k
Kenneth P. Gall United States 14 1.1k 1.9× 824 1.6× 567 2.2× 107 0.9× 212 2.0× 30 1.4k

Countries citing papers authored by V Moskvin

Since Specialization
Citations

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

Fields of papers citing papers by V Moskvin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V Moskvin

This figure shows the co-authorship network connecting the top 25 collaborators of V Moskvin. A scholar is included among the top collaborators of V Moskvin 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 V Moskvin. V Moskvin 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.
Lucas, John T., Austin M. Faught, Chih‐Yang Hsu, et al.. (2022). Pre- and Posttherapy Risk Factors for Vasculopathy in Pediatric Patients With Craniopharyngioma Treated With Surgery and Proton Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 113(1). 152–160. 11 indexed citations
2.
Moskvin, V, et al.. (2021). Monte Carlo framework for commissioning a synchrotron-based discrete spot scanning proton beam system and treatment plan verification. Biomedical Physics & Engineering Express. 7(4). 45020–45020. 3 indexed citations
3.
Moskvin, V, et al.. (2021). Proton therapy delivery method affects dose-averaged linear energy transfer in patients. Physics in Medicine and Biology. 66(7). 74003–74003. 3 indexed citations
4.
Moskvin, V, et al.. (2020). Dose perturbation caused by metallic port in breast tissue expander in proton beam therapy. Biomedical Physics & Engineering Express. 6(6). 65037–65037.
5.
Nikitaki, Zacharenia, Ifigeneia V. Mavragani, Danai Laskaratou, et al.. (2016). Systemic mechanisms and effects of ionizing radiation: A new old paradigm of how the bystanders and distant can become the players. Seminars in Cancer Biology. 37-38. 77–95. 90 indexed citations
6.
Das, Indra J., et al.. (2015). Optimization of GATE and PHITS Monte Carlo code parameters for spot scanning proton beam based on simulation with FLUKA general-purpose code. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 367. 14–25. 8 indexed citations
7.
Moskvin, V, et al.. (2015). Feasibility of RACT for 3D dose measurement and range verification in a water phantom. Medical Physics. 42(2). 937–946. 27 indexed citations
8.
Moskvin, V, et al.. (2014). SU‐E‐CAMPUS‐T‐02: Exploring Radiation Acoustics CT Dosimeter Design Aspects for Proton Therapy. Medical Physics. 41(6Part22). 382–382. 3 indexed citations
9.
Moskvin, V, C Cheng, V. A. Anferov, et al.. (2012). SU‐E‐T‐491: A FLUKA Monte Carlo Computational Model of a Scanning Proton Beam Therapy Nozzle at IU Proton Therapy Center. Medical Physics. 39(6Part17). 3818–3818. 3 indexed citations
10.
11.
Zhao, Q., et al.. (2012). SU‐E‐T‐295: Factors Affecting Accuracy in Proton Therapy. Medical Physics. 39(6Part14). 3771–3771. 1 indexed citations
12.
Das, Indra J. & V Moskvin. (2012). Variability of Physics Education in Radiation Oncology Medical Residency Programs. Journal of the American College of Radiology. 9(11). 835–838.e1. 1 indexed citations
13.
Moskvin, V, et al.. (2012). A semi‐empirical model for the therapeutic range shift estimation caused by inhomogeneities in proton beam therapy. Journal of Applied Clinical Medical Physics. 13(2). 3–12. 10 indexed citations
14.
Papież, Lech, et al.. (2005). Evaluation of underdosage in the external photon beam radiotherapy of glottic carcinoma: Monte Carlo study. Radiotherapy and Oncology. 78(2). 159–164. 11 indexed citations
15.
Difilippo, F.C., Lech Papież, V Moskvin, et al.. (2003). Contamination dose from photoneutron processes in bodily tissues during therapeutic radiation delivery. Medical Physics. 30(10). 2849–2854. 23 indexed citations
16.
Valluri, Shailaja, Colleen DesRosiers, Andrea Caperell–Grant, et al.. (2002). Inhibition of Choroidal Neovascularization (CNV) by Adeno-Associated Virus (AAV) Mediated Expression of sFLT1. Investigative Ophthalmology & Visual Science. 43(13). 3580–3580. 1 indexed citations
17.
Moskvin, V, Colleen DesRosiers, Lech Papież, et al.. (2002). Monte Carlo simulation of the Leksell Gamma Knife$reg$: I. Source modelling and calculations in homogeneous media. Physics in Medicine and Biology. 47(12). 1995–2011. 43 indexed citations
18.
Sandison, George A., et al.. (2002). Optimization of intensity-modulated very high energy (50–250 MeV) electron therapy. Physics in Medicine and Biology. 47(8). 1285–1301. 37 indexed citations
19.
DesRosiers, Colleen, V Moskvin, Alex F. Bielajew, & Lech Papież. (2000). 150-250 MeV electron beams in radiation therapy. Physics in Medicine and Biology. 45(7). 1781–1805. 123 indexed citations
20.
Moskvin, V, et al.. (1997). Absorption of fast electrons in thin slabs. IEEE Transactions on Nuclear Science. 44(3). 1070–1075. 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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