C. Kappas

1.9k total citations
76 papers, 1.2k citations indexed

About

C. Kappas is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, C. Kappas has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Radiation and 28 papers in Pulmonary and Respiratory Medicine. Recurrent topics in C. Kappas's work include Advanced Radiotherapy Techniques (37 papers), Radiation Therapy and Dosimetry (23 papers) and Radiation Dose and Imaging (22 papers). C. Kappas is often cited by papers focused on Advanced Radiotherapy Techniques (37 papers), Radiation Therapy and Dosimetry (23 papers) and Radiation Dose and Imaging (22 papers). C. Kappas collaborates with scholars based in Greece, France and Saudi Arabia. C. Kappas's co-authors include Ioannis Tsougos, Ioannis Fezoulidis, C. Cotrutz, Jean‐Claude Rosenwald, Kyriaki Theodorou, Michael Lahanas, Dimos Baltas, Abdelmoneim Sulieman, Evanthia Kousi and Bengt K. Lind and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

C. Kappas

72 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Kappas Greece 20 748 625 501 223 120 76 1.2k
Holly Ning United States 19 519 0.7× 603 1.0× 625 1.2× 196 0.9× 179 1.5× 41 1.2k
Sibo Tian United States 23 767 1.0× 462 0.7× 596 1.2× 362 1.6× 86 0.7× 107 1.7k
Serena Monti Italy 23 891 1.2× 284 0.5× 376 0.8× 137 0.6× 52 0.4× 93 1.4k
Yoshihiro Ueda Japan 17 447 0.6× 569 0.9× 438 0.9× 282 1.3× 148 1.2× 115 984
L. Byars United States 17 1.7k 2.3× 596 1.0× 347 0.7× 468 2.1× 34 0.3× 41 2.1k
Jun Zhou United States 22 933 1.2× 820 1.3× 751 1.5× 463 2.1× 26 0.2× 121 1.6k
Hesheng Wang United States 18 627 0.8× 341 0.5× 238 0.5× 255 1.1× 28 0.2× 77 1.1k
Pengpeng Zhang United States 19 1.1k 1.4× 1.1k 1.8× 788 1.6× 331 1.5× 52 0.4× 83 1.6k
Chengyu Shi United States 20 867 1.2× 1.0k 1.7× 823 1.6× 272 1.2× 33 0.3× 114 1.6k
Sung‐Joon Ye South Korea 22 940 1.3× 1.1k 1.7× 759 1.5× 607 2.7× 27 0.2× 124 1.7k

Countries citing papers authored by C. Kappas

Since Specialization
Citations

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

Fields of papers citing papers by C. Kappas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Kappas

This figure shows the co-authorship network connecting the top 25 collaborators of C. Kappas. A scholar is included among the top collaborators of C. Kappas 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 C. Kappas. C. Kappas 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.
Almohammed, Huda I., Abdelmoneim Sulieman, Hassan Salah, et al.. (2021). Occupational exposure and radiobiological risk from thyroid radioiodine therapy in Saudi Arabia. Scientific Reports. 11(1). 14557–14557. 15 indexed citations
2.
3.
Loudos, George, et al.. (2013). A review of PET normalization. Nuclear Medicine Communications. 34(11). 1033–1045. 6 indexed citations
4.
Παπαθανασίου, Ιωάννα, et al.. (2011). hTERT regulation by NF-κB and c-myc in irradiated HER2-positive breast cancer cells. International Journal of Radiation Biology. 87(6). 609–621. 17 indexed citations
5.
Tsiamas, Panagiotis, Joao Seco, Zhaohui Han, et al.. (2011). A modification of flattening filter free linac for IMRT. Medical Physics. 38(5). 2342–2352. 19 indexed citations
6.
Sulieman, Abdelmoneim, et al.. (2011). Radiation dose measurement in gastrointestinal studies. Radiation Protection Dosimetry. 147(1-2). 118–121. 14 indexed citations
7.
Tsougos, Ioannis, et al.. (2009). A free software for the evaluation and comparison of dose response models in clinical radiotherapy (DORES). International Journal of Radiation Biology. 85(3). 227–237. 5 indexed citations
8.
Sulieman, Abdelmoneim, et al.. (2007). Radiation dose optimisation and risk estimation to patients and staff during hysterosalpingography. Radiation Protection Dosimetry. 128(2). 217–226. 28 indexed citations
9.
Sulieman, Abdelmoneim, et al.. (2007). Radiation dose measurement and risk estimation for paediatric patients undergoing micturating cystourethrography. British Journal of Radiology. 80(957). 731–737. 51 indexed citations
10.
Tsougos, Ioannis, Per Nilsson, Elisabeth Kjellén, et al.. (2007). NTCP modelling and pulmonary function tests evaluation for the prediction of radiation induced pneumonitis in non-small-cell lung cancer radiotherapy. Physics in Medicine and Biology. 52(4). 1055–1073. 33 indexed citations
11.
Mavroidis, Panayiotis, B.C. Ferreira, Roger Svensson, et al.. (2006). Assessing the Difference between Planned and Delivered Intensity-modulated Radiotherapy Dose Distributions based on Radiobiological Measures. Clinical Oncology. 18(7). 529–538. 15 indexed citations
12.
Stathakis, S, et al.. (2006). Monte Carlo dosimetric evaluation of high energy vs low energy photon beams in low density tissues. Radiotherapy and Oncology. 79(1). 131–138. 11 indexed citations
13.
Tsougos, Ioannis, Panayiotis Mavroidis, Kyriaki Theodorou, et al.. (2005). Evaluation of dose–response models and parameters predicting radiation induced pneumonitis using clinical data from breast cancer radiotherapy. Physics in Medicine and Biology. 50(15). 3535–3554. 19 indexed citations
14.
Mavroidis, Panayiotis, Kyriaki Theodorou, Dimitrios Lefkopoulos, et al.. (2002). Prediction of AVM obliteration after stereotactic radiotherapy using radiobiological modelling. Physics in Medicine and Biology. 47(14). 2471–2494. 26 indexed citations
15.
Cotrutz, C., C. Kappas, & S Webb. (2000). Intensity modulated arc therapy (IMAT) with centrally blocked rotational fields. Physics in Medicine and Biology. 45(8). 2185–2206. 32 indexed citations
16.
Kappas, C., et al.. (1999). Multimedia educational services in stereotactic radiotherapy. Cancer/Radiothérapie. 3(3). 249–253. 1 indexed citations
17.
Cotrutz, C., et al.. (1998). Development in a Windows environment of a radiation treatment planning system for personal computers. Computer Methods and Programs in Biomedicine. 56(3). 261–272. 4 indexed citations
18.
Theodorou, Kyriaki, et al.. (1998). A new non-invasive and relocatable immobilization frame for fractionated stereotactic radiotherapy. Radiotherapy and Oncology. 47(3). 313–317. 15 indexed citations
19.
Kappas, C., et al.. (1997). Simulation with EGS4 code of external beam of radiotherapy apparatus with workstation and PC gives similar results?. Computer Methods and Programs in Biomedicine. 52(1). 45–51. 5 indexed citations
20.
Kappas, C. & Jean‐Claude Rosenwald. (1995). Quality control of inhomogeneity correction algorithms used in treatment planning systems. International Journal of Radiation Oncology*Biology*Physics. 32(3). 847–858. 18 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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