K. V. Pavlov

748 total citations
36 papers, 557 citations indexed

About

K. V. Pavlov is a scholar working on Radiation, Aerospace Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, K. V. Pavlov has authored 36 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiation, 12 papers in Aerospace Engineering and 12 papers in Nuclear and High Energy Physics. Recurrent topics in K. V. Pavlov's work include Nuclear Physics and Applications (20 papers), Nuclear reactor physics and engineering (12 papers) and Nuclear physics research studies (10 papers). K. V. Pavlov is often cited by papers focused on Nuclear Physics and Applications (20 papers), Nuclear reactor physics and engineering (12 papers) and Nuclear physics research studies (10 papers). K. V. Pavlov collaborates with scholars based in Russia, United States and Netherlands. K. V. Pavlov's co-authors include Frank A.E. Kruyt, Siobhan Conroy, Ellie Eggens‐Meijer, Wilfred F.A. den Dunnen, Veerakumar Balasubramaniyan, Michiel Wagemakers, Justin V. Joseph, Tushar Tomar, Yu. E. Titarenko and Coby Meijer and has published in prestigious journals such as Journal of Cellular Physiology, Cancer Letters and Annals of Surgical Oncology.

In The Last Decade

K. V. Pavlov

33 papers receiving 546 citations

Peers

K. V. Pavlov
J. Qian United States
Lihua Yu China
R.R. Perry United States
Mary Iacocca United States
Jacobus Slabbert South Africa
J. Camps Belgium
J. Qian United States
K. V. Pavlov
Citations per year, relative to K. V. Pavlov K. V. Pavlov (= 1×) peers J. Qian

Countries citing papers authored by K. V. Pavlov

Since Specialization
Citations

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

Fields of papers citing papers by K. V. Pavlov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. V. Pavlov

This figure shows the co-authorship network connecting the top 25 collaborators of K. V. Pavlov. A scholar is included among the top collaborators of K. V. Pavlov 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 K. V. Pavlov. K. V. Pavlov 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.
Pavlov, K. V., Joost Kluiver, Coby Meijer, et al.. (2018). Circulating miRNAs in patients with Barrett’s esophagus, high-grade dysplasia and esophageal adenocarcinoma. Journal of Gastrointestinal Oncology. 9(6). 1150–1156. 9 indexed citations
2.
Pavlov, K. V., Parweez Koehestanie, Jaap J. Beutler, et al.. (2018). Thoracic and abdominal pain in a 28-year-old woman with a failing kidney transplant. Frontline Gastroenterology. 9(4). 323–324. 3 indexed citations
3.
Ven, Steffi E. M. van de, et al.. (2018). Bile Cast Nephropathy Caused by Obstructive Pancreatic Carcinoma and Failed ERCP. ACG Case Reports Journal. 5(12). e881–3. 2 indexed citations
4.
Titarenko, Yu. E., et al.. (2017). Measurements and analysis of 178m2Hf production cross sections under natTa and natW irradiation by protons with 0.04–2.6 GeV energies. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 880. 6–14. 2 indexed citations
5.
Alekseev, P. N., et al.. (2017). Fusion neutron source blanket: requirements for calculation accuracy and benchmark experiment precision. Nuclear Fusion. 57(6). 66044–66044. 1 indexed citations
6.
Pavlov, K. V., Véronique E. Mul, Arend Karrenbeld, et al.. (2015). CD44, SHH and SOX2 as novel biomarkers in esophageal cancer patients treated with neoadjuvant chemoradiotherapy. Radiotherapy and Oncology. 117(1). 152–158. 20 indexed citations
7.
Joseph, Justin V., Siobhan Conroy, K. V. Pavlov, et al.. (2015). Hypoxia enhances migration and invasion in glioblastoma by promoting a mesenchymal shift mediated by the HIF1α–ZEB1 axis. Cancer Letters. 359(1). 107–116. 248 indexed citations
8.
Pavlov, K. V., Coby Meijer, Wytske Boersma‐van Ek, et al.. (2014). GATA6 expression in Barrett's oesophagus and oesophageal adenocarcinoma. Digestive and Liver Disease. 47(1). 73–80. 10 indexed citations
9.
Smit, Justin K., K. V. Pavlov, Jan Pruim, et al.. (2014). Prognostic Impact of Clinicopathological Features and Expression of Biomarkers Related to 18F-FDG Uptake in Esophageal Cancer. Annals of Surgical Oncology. 21(12). 3751–3757. 15 indexed citations
10.
Pavlov, K. V., Coby Meijer, Justin K. Smit, et al.. (2014). Loss of CD44 and SOX2 Expression is Correlated with a Poor Prognosis in Esophageal Adenocarcinoma Patients. Annals of Surgical Oncology. 21(S4). 657–664. 32 indexed citations
11.
Pavlov, K. V., et al.. (2014). Embryological signaling pathways in Barrett's metaplasia development and malignant transformation; mechanisms and therapeutic opportunities. Critical Reviews in Oncology/Hematology. 92(1). 25–37. 10 indexed citations
12.
Kuteev, B. V., et al.. (2013). NEUTRONICS ANALYSIS OF THE FUSION NEUTRON SOURCE TO OBTAIN THE ULTIMATE THERMAL NEUTRON FLUX. Problems of Atomic Science and Technology Ser Thermonuclear Fusion. 36(1). 64–77. 1 indexed citations
13.
Kosoff, Rachelle, et al.. (2011). Development and characterization of an organotypic model of Barrett's esophagus. Journal of Cellular Physiology. 227(6). 2654–2659. 29 indexed citations
14.
Titarenko, Yu. E., et al.. (2011). Cross sections for monitor reactions 27Al((p, x)24Na, 27Al(p, x)22Na, and 27Al(p, x)7Be at proton energies in the range 0.04–2.6 GeV. Physics of Atomic Nuclei. 74(4). 507–522. 12 indexed citations
15.
Titarenko, Yu. E., V. F. Batyaev, K. V. Pavlov, et al.. (2011). Measurement and simulation of the cross sections for nuclide production in 93Nb and natNi targets irradiated with 0.04- to 2.6-GeV protons. Physics of Atomic Nuclei. 74(4). 537–550. 24 indexed citations
16.
Titarenko, Yu. E., V. F. Batyaev, K. V. Pavlov, et al.. (2011). Measurement and simulation of the cross sections for the production of 148Gd in thin natW and 181Ta targets irradiated with 0.4- to 2.6-GeV protons. Physics of Atomic Nuclei. 74(4). 573–579. 8 indexed citations
17.
Titarenko, Yu. E., et al.. (2011). Experimental and theoretical study of the residual nuclide production in 40-2600 MeV proton-irradiated thin targets of ads structure materials. 2 indexed citations
18.
Titarenko, Yu. E., et al.. (2009). Measurements of the neutron field characteristics inside and on the surface of the Pb target micromodel exposed to 0.8 GeV protons.
19.
Batyaev, V. F., K. V. Pavlov, Yu. E. Titarenko, et al.. (2008). Analysis of the main nuclear-physical characteristics of the interaction of proton beams with heavy metal targets. Atomic Energy. 104(4). 319–329. 4 indexed citations
20.
Titarenko, Yu. E., et al.. (2007). High-energy threshold reaction rates on 0.8 GeV proton-irradiated thick Pb-target. Springer Link (Chiba Institute of Technology). 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.

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