Tust Techasith

417 citations
16 papers · 285 · h-index 10

Impact in

Papers in

Tust Techasith

14 papers receiving 277 citations

Peers

Tust Techasith
Comparison fields: 5 of 37
  • Radiology, Nuclear Medicine and Imaging 140
  • Hepatology 29
  • Internal Medicine 9
  • Epidemiology 62
  • Emergency Medical Services 12
Replace Adrian Kobe with:
Adrian Kobe Switzerland
Luca Salvolini Italy
Paolo Pavone Italy
Jonathan Nadjiri Germany
Maarten Spinhoven Belgium
Gaurav S. Desai United States
Andrea Azzaretti Italy
Rupert Horst Portugaller Austria
Takeshi Miyairi Japan
Abraham Levitin United States
Tust Techasith relative to Adrian Kobe Switzerland Adrian Kobe's profile →
Citations per field
00.5×10×14.5×
Adrian Kobe · 1×
Citations per year

Countries citing papers authored by Tust Techasith

Since Specialization
Citations

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

Fields of papers citing papers by Tust Techasith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tust Techasith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tust Techasith Line = papers co-authored together Tust Techasith links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201189
2 201473
3 202219
4 201618
5 201216
6 201514
7 201114
8 201111
9 20119
10 20249
11 20126
12 20114
13 20102
14 20251
15 20250
16 20250

About Tust Techasith

Tust Techasith is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Internal Medicine, Biomedical Engineering and Surgery, having authored 16 papers that have together received 285 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Advanced X-ray and CT Imaging (2 papers), Prostate Cancer Treatment and Research (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Liver Disease and Transplantation (1 paper), Neuroendocrine Tumor Research Advances (1 paper) and Acute Myocardial Infarction Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (140 citations), Hepatology (29 citations), Internal Medicine (9 citations), Epidemiology (62 citations) and Emergency Medical Services (12 citations). Tust Techasith has collaborated with scholars based in United States, Netherlands and Austria. Frequent co-authors include Ricardo C. Cury, Daniel Y. Sze, Arjun Banerjee, Jarrett Rosenberg, Zlatko Devcic, Marnix G. E. H. Lam, Arthur J. A. T. Braat, Udo Hoffmann, Brian Ghoshhajra and Thomas J. Brady. Their work appears in journals such as Journal of cardiovascular computed tomography, Journal of Vascular and Interventional Radiology, American Journal of Roentgenology, JACC. Cardiovascular imaging and Journal of Nuclear Medicine.

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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