R. A. Manoliu

694 citations
24 papers · 551 indexed · h-index 13
Topics
Radiomics and Machine Learning in Medical Imaging (4 papers)BRCA gene mutations in cancer (4 papers)Cardiac Structural Anomalies and Repair (4 papers)

In The Last Decade

R. A. Manoliu

23 papers receiving 508 citations

Peers

R. A. Manoliu
Comparison fields: 5 of 68
  • Surgery 298
  • Epidemiology 253
  • Radiology, Nuclear Medicine and Imaging 113
  • Pathology and Forensic Medicine 78
  • Oncology 58
Replace H. Schild with:
H. Schild Germany
Jay C. Mall United States
Azadeh Hojreh Austria
John A. Wolfe United States
Toru Chikui Japan
Ji Youn Kim South Korea
Dimitrios N. Papachristou United States
Marcos Santos Brazil
Amy L. Lightner United States
R. A. Manoliu relative to H. Schild Germany H. Schild's profile →
Citations per field
00.5×2.8×
H. Schild · 1×
Citations per year

Countries citing papers authored by R. A. Manoliu

Since Specialization
Citations

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

Fields of papers citing papers by R. A. Manoliu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. A. Manoliu. 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 R. A. Manoliu. The network helps show where R. A. Manoliu may publish in the future.

Co-authorship network of co-authors of R. A. Manoliu

This figure shows the co-authorship network connecting the top 25 collaborators of R. A. Manoliu. A scholar is included among the top collaborators of R. A. Manoliu 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 R. A. Manoliu. R. A. Manoliu 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
#WorkIndexed citations
1 22
2 27
3 2
4 1
5 29
6 44
7
MRI screening for breast cancer in women with high familial and genetic risk: First results of the Dutch MRI screening study (MRISC).
12
8 16
9 48
10 43
11 19
12 20
13 103
14 91
15 40
16 5
17
[Acute transit symptoms caused by spontaneous rupture of the esophagus].
2
18 7
19
Urethral calibre measurements on micturition cystourethrograms in adult males. Part one: normal urethra.
5
20 2

About R. A. Manoliu

R. A. Manoliu is a scholar working on Urology, Radiology, Nuclear Medicine and Imaging and Orthopedics and Sports Medicine, having authored 24 papers that have together received 551 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), BRCA gene mutations in cancer (4 papers) and Cardiac Structural Anomalies and Repair (4 papers). The work is most often cited by research in Epidemiology (253 citations), Surgery (298 citations) and Radiology, Nuclear Medicine and Imaging (113 citations). R. A. Manoliu has collaborated with scholars based in Netherlands, United States and Russia. Frequent co-authors include J. A. van der Sluijs, W. J. R. van Ouwerkerk, P. Wuisman, Frans Nollet, Arthur de Gast, Taco J. Blokhuis, H. J. T. M. Haarman, P. Patka, Frank C. den Boer and Jos A. M. Bramer. Their work appears in journals such as Journal of Clinical Oncology, Radiology and The Journal of Urology.

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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