К. Г. Суслова

1.3k total citations
51 papers, 1.1k citations indexed

About

К. Г. Суслова is a scholar working on Radiology, Nuclear Medicine and Imaging, Global and Planetary Change and Radiological and Ultrasound Technology. According to data from OpenAlex, К. Г. Суслова has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Radiology, Nuclear Medicine and Imaging, 35 papers in Global and Planetary Change and 28 papers in Radiological and Ultrasound Technology. Recurrent topics in К. Г. Суслова's work include Radiation Dose and Imaging (42 papers), Radioactive contamination and transfer (35 papers) and Radioactivity and Radon Measurements (28 papers). К. Г. Суслова is often cited by papers focused on Radiation Dose and Imaging (42 papers), Radioactive contamination and transfer (35 papers) and Radioactivity and Radon Measurements (28 papers). К. Г. Суслова collaborates with scholars based in Russia, United States and United Kingdom. К. Г. Суслова's co-authors include V. F. Khokhryakov, Scott C. Miller, Melinda P. Krahenbuhl, С. А. Романов, В. В. Востротин, R.E. Filipy, Keith F. Eckerman, M.E. Sokolnikov, N.A. Koshurnikova and Natalia S. Shilnikova and has published in prestigious journals such as PLoS ONE, Radiation Research and Journal of Environmental Radioactivity.

In The Last Decade

К. Г. Суслова

49 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
К. Г. Суслова Russia 19 915 586 497 145 75 51 1.1k
С. А. Романов Russia 19 830 0.9× 510 0.9× 378 0.8× 191 1.3× 45 0.6× 61 1.1k
V. F. Khokhryakov Russia 21 978 1.1× 581 1.0× 468 0.9× 221 1.5× 79 1.1× 48 1.3k
Paul G. Voillequé United States 17 578 0.6× 415 0.7× 421 0.8× 78 0.5× 22 0.3× 42 844
M. Puncher United Kingdom 17 567 0.6× 407 0.7× 390 0.8× 90 0.6× 31 0.4× 53 765
M.E. Sokolnikov Russia 20 916 1.0× 492 0.8× 251 0.5× 272 1.9× 20 0.3× 55 1.1k
D. Noßke Germany 14 673 0.7× 381 0.7× 203 0.4× 149 1.0× 36 0.5× 43 893
N.A. Koshurnikova Russia 16 793 0.9× 442 0.8× 246 0.5× 226 1.6× 18 0.2× 32 946
Maria Schnelzer Germany 19 892 1.0× 725 1.2× 197 0.4× 334 2.3× 19 0.3× 33 1.1k
Melinda P. Krahenbuhl United States 12 434 0.5× 280 0.5× 225 0.5× 73 0.5× 43 0.6× 21 526
В. В. Востротин Russia 14 504 0.6× 294 0.5× 226 0.5× 102 0.7× 24 0.3× 39 601

Countries citing papers authored by К. Г. Суслова

Since Specialization
Citations

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

Fields of papers citing papers by К. Г. Суслова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of К. Г. Суслова

This figure shows the co-authorship network connecting the top 25 collaborators of К. Г. Суслова. A scholar is included among the top collaborators of К. Г. Суслова 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 К. Г. Суслова. К. Г. Суслова 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.
Суслова, К. Г., et al.. (2020). The effects of chronic diseases on plutonium urinary excretion in former workers of the Mayak Production Association. PLoS ONE. 15(11). e0242151–e0242151. 1 indexed citations
2.
Востротин, В. В., B.A. Napier, Scott C. Miller, et al.. (2018). THE MAYAK WORKER DOSIMETRY SYSTEM (MWDS-2016): INTERNAL DOSIMETRY RESULTS AND COMPARISON WITH MWDS-2013. Radiation Protection Dosimetry. 184(2). 201–210. 4 indexed citations
3.
Puncher, M., et al.. (2016). The Mayak Worker Dosimetry System (Mwds-2013): Plutonium Dissolution in The Lungs—An Analysis of Mayak Workers. Radiation Protection Dosimetry. 6 indexed citations
4.
Востротин, В. В., А. Birchall, D. Gregoratto, et al.. (2016). The Mayak Worker Dosimetry System (MWDS-2013): Uncertainty in the Measurement of Pu Activity in a 24-Hour Urine Sample of a Typical Mayak PA Worker. Radiation Protection Dosimetry. 176(1-2). 106–116. 10 indexed citations
5.
Востротин, В. В., А. Birchall, M. Puncher, et al.. (2016). The Mayak Worker Dosimetry System (MWDS-2013): Internal Dosimetry Results. Radiation Protection Dosimetry. 176(1-2). 190–201. 15 indexed citations
6.
Суслова, К. Г., et al.. (2016). The MAYAK WORKER DOSIMETRY SYSTEM (MWDS-2013): ESTIMATION OF PLUTONIUM SKELETAL BURDEN FROM LIMITED AUTOPSY BONE SAMPLES FROM MAYAK PA WORKERS. Radiation Protection Dosimetry. 176(1-2). 117–131. 14 indexed citations
7.
Puncher, M., et al.. (2016). The Mayak Worker Dosimetry System (MWDS-2013): Plutonium Binding in the Lungs—An Analysis of Mayak Workers. Radiation Protection Dosimetry. 176(1-2). 62–70. 14 indexed citations
8.
9.
Суслова, К. Г., et al.. (2015). Dynamics of body burdens and doses due to internal irradiation from intakes of long-lived radionuclides by residents of Ozyorsk situated near Mayak PA. Journal of Radiological Protection. 35(4). 789–818. 5 indexed citations
10.
Суслова, К. Г., et al.. (2013). Accumulation, Organ Distribution, and Excretion Kinetics of 241Am in Mayak Production Association Workers. Health Physics. 104(3). 313–324. 9 indexed citations
11.
Суслова, К. Г., et al.. (2013). Development of an Inhalation Intake Model for 241Am Based on Mayak Production Association Worker Data. Health Physics. 105(1). 21–30. 5 indexed citations
12.
Суслова, К. Г., et al.. (2012). 238PU. Health Physics. 102(3). 243–250. 6 indexed citations
13.
Романов, С. А., Raymond A. Guilmette, V. F. Khokhryakov, et al.. (2007). Comparison of dose estimation from occupational exposure to 239Pu using different modelling approaches. Radiation Protection Dosimetry. 127(1-4). 486–490. 3 indexed citations
14.
Суслова, К. Г., et al.. (2007). Plutonium in the Ozyorsk population. Radiation Protection Dosimetry. 127(1-4). 502–506. 5 indexed citations
15.
Bess, John D., Melinda P. Krahenbuhl, Scott C. Miller, et al.. (2007). UNCERTAINTIES ANALYSIS FOR THE PLUTONIUM DOSIMETRY MODEL, DOSES-2005, USING MAYAK BIOASSAY DATA. Health Physics. 93(3). 207–219. 16 indexed citations
16.
Khokhryakov, V. F., et al.. (2006). Status and prospects of internal dosimetry for the Mayak nuclear workers. International Journal of Low Radiation. 2(3/4). 219–219. 1 indexed citations
17.
Krahenbuhl, Melinda P., John D. Bess, В. В. Востротин, et al.. (2005). UNCERTAINTIES ANALYSIS OF DOSES RESULTING FROM CHRONIC INHALATION OF PLUTONIUM AT THE MAYAK PRODUCTION ASSOCIATION. Health Physics. 89(1). 33–45. 11 indexed citations
18.
Vasilenko, E., Aleksei Suslov, L.R. Anspaugh, et al.. (2002). Studies on the Ozyorsk population: dosimetry. Radiation and Environmental Biophysics. 41(1). 33–35. 12 indexed citations
19.
Khokhryakov, V. F., К. Г. Суслова, В. В. Востротин, et al.. (2002). THE DEVELOPMENT OF THE PLUTONIUM LUNG CLEARANCE MODEL FOR EXPOSURE ESTIMATION OF THE MAYAK PRODUCTION ASSOCIATION, NUCLEAR PLANT WORKERS. Health Physics. 82(4). 425–431. 25 indexed citations
20.
Khokhryakov, V. F., et al.. (2000). DEVELOPMENT OF AN IMPROVED DOSIMETRY SYSTEM FOR THE WORKERS AT THE MAYAK PRODUCTION ASSOCIATION. Health Physics. 79(1). 72–76. 41 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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