Gal Yaniv

1.8k total citations · 1 hit paper
26 papers, 1.3k citations indexed

About

Gal Yaniv is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, Gal Yaniv has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pediatrics, Perinatology and Child Health, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Rheumatology. Recurrent topics in Gal Yaniv's work include Fetal and Pediatric Neurological Disorders (6 papers), Neonatal and fetal brain pathology (4 papers) and Birth, Development, and Health (3 papers). Gal Yaniv is often cited by papers focused on Fetal and Pediatric Neurological Disorders (6 papers), Neonatal and fetal brain pathology (4 papers) and Birth, Development, and Health (3 papers). Gal Yaniv collaborates with scholars based in Israel, United States and Canada. Gal Yaniv's co-authors include Gilad Twig, Dana Ben‐Ami Shor, Arnon Afek, Dorit Tzur, Ziona Haklai, Jeremy D. Kark, Ari Shamiss, Adi Leiba, Hagai Levine and Nehama Goldberger and has published in prestigious journals such as New England Journal of Medicine, Diabetes Care and Stroke.

In The Last Decade

Gal Yaniv

25 papers receiving 1.2k citations

Hit Papers

Body-Mass Index in 2.3 Million Adolescents and Cardiovasc... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gal Yaniv Israel 12 363 279 240 191 181 26 1.3k
P.C.M. Pasker-de Jong Netherlands 22 575 1.6× 101 0.4× 301 1.3× 60 0.3× 76 0.4× 65 1.8k
Lars Söderström Sweden 30 183 0.5× 124 0.4× 259 1.1× 149 0.8× 89 0.5× 89 2.3k
Gerda G. Zeeman Netherlands 29 389 1.1× 202 0.7× 1.4k 5.8× 209 1.1× 58 0.3× 83 2.6k
Theo M. de Boo Netherlands 14 298 0.8× 601 2.2× 175 0.7× 116 0.6× 39 0.2× 21 1.6k
Stephanie R. Shaftman United States 18 169 0.5× 304 1.1× 37 0.2× 223 1.2× 88 0.5× 23 1.3k
Marco van Brussel Netherlands 27 252 0.7× 118 0.4× 451 1.9× 36 0.2× 44 0.2× 57 1.8k
Joseph A. Spinnato United States 28 485 1.3× 422 1.5× 796 3.3× 210 1.1× 37 0.2× 72 2.1k
Wendy J. Carman United States 19 205 0.6× 270 1.0× 102 0.4× 42 0.2× 33 0.2× 23 1.2k
Ralf Schiel Germany 23 172 0.5× 79 0.3× 68 0.3× 95 0.5× 47 0.3× 114 1.5k
Lois Jovanovic‐Peterson United States 23 349 1.0× 90 0.3× 775 3.2× 113 0.6× 61 0.3× 67 2.5k

Countries citing papers authored by Gal Yaniv

Since Specialization
Citations

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

Fields of papers citing papers by Gal Yaniv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gal Yaniv

This figure shows the co-authorship network connecting the top 25 collaborators of Gal Yaniv. A scholar is included among the top collaborators of Gal Yaniv 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 Gal Yaniv. Gal Yaniv 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.
Bardugo, Aya, Cole D. Bendor, Miri Lutski, et al.. (2024). Cognitive function in adolescence and the risk of early-onset stroke. Journal of Epidemiology & Community Health. 78(9). 570–577. 1 indexed citations
3.
Knoller, Nachshon, et al.. (2023). Prevalence and Characteristics of Cervical Ossified Posterior Longitudinal Ligament in the Jewish Population. World Neurosurgery. 179. e256–e261.
4.
Bardugo, Aya, Boris Fishman, David Tanné, et al.. (2021). Body Mass Index in 1.9 Million Adolescents and Stroke in Young Adulthood. Stroke. 52(6). 2043–2052. 31 indexed citations
5.
Katorza, Eldad, et al.. (2021). 3.0 Tesla normative diffusivity in 3rd trimester fetal brain. Neuroradiology. 64(6). 1249–1254. 2 indexed citations
6.
Harel, Ran, et al.. (2020). Surgical Management of Failed Endovascular Treatment for Spinal Dural Arteriovenous Fistulas. World Neurosurgery. 147. e354–e362. 5 indexed citations
7.
Hoffmann, Chen, et al.. (2017). Apparent Diffusion Coefficient Value Changes and Clinical Correlation in 90 Cases of Cytomegalovirus-Infected Fetuses with Unremarkable Fetal MRI Results. American Journal of Neuroradiology. 38(7). 1443–1448. 10 indexed citations
8.
Nadler, Roy, Elon Glassberg, Gal Yaniv, et al.. (2016). The approximated cardiovascular reserve index complies with haemorrhage related hemodynamic deterioration pattern: A swine exsanguination model. Annals of Medicine and Surgery. 14. 1–7. 2 indexed citations
9.
Twig, Gilad, Gal Yaniv, Hagai Levine, et al.. (2016). Body-Mass Index in 2.3 Million Adolescents and Cardiovascular Death in Adulthood. New England Journal of Medicine. 374(25). 2430–2440. 655 indexed citations breakdown →
10.
Yaniv, Gal, et al.. (2016). Old Challenges and New Perspectives on Developing Military Physicians: The First 4 Years of the New Israeli Model. Military Medicine. 181(2). 129–135. 5 indexed citations
11.
Yaniv, Gal, et al.. (2015). Region-specific changes in brain diffusivity in fetal isolated mild ventriculomegaly. European Radiology. 26(3). 840–848. 13 indexed citations
12.
Hoffmann, Chen, Boaz Weisz, Shlomo Lipitz, et al.. (2014). Regional apparent diffusion coefficient values in 3rd trimester fetal brain. Neuroradiology. 56(7). 561–567. 21 indexed citations
13.
Twig, Gilad, Amir Tirosh, Hertzel C. Gerstein, et al.. (2014). Cognitive Function and the Risk for Diabetes Among Young Men. Diabetes Care. 37(11). 2982–2988. 50 indexed citations
14.
Yaniv, Gal, Gilad Twig, Dana Ben‐Ami Shor, et al.. (2014). A volcanic explosion of autoantibodies in systemic lupus erythematosus: A diversity of 180 different antibodies found in SLE patients. Autoimmunity Reviews. 14(1). 75–79. 264 indexed citations
15.
Yaniv, Gal, et al.. (2013). Revised protocol for whole-body CT for multi-trauma patients applying triphasic injection followed by a single-pass scan on a 64-MDCT. Clinical Radiology. 68(7). 668–675. 32 indexed citations
16.
Yaniv, Gal, Merav Lidar, Amir Herman, et al.. (2013). The natural course of bridging osteophyte formation in diffuse idiopathic skeletal hyperostosis: retrospective analysis of consecutive CT examinations over 10 years. Lara D. Veeken. 53(11). 1951–1957. 49 indexed citations
17.
Yaniv, Gal, et al.. (2013). Common sites and etiologies of residents' misinterpretation of head CT scans in the emergency department of a level I trauma center.. PubMed. 15(5). 221–5. 4 indexed citations
18.
Yaniv, Gal, et al.. (2012). The eagle is landing: Eagle syndrome — an important differential diagnosis. British Journal of General Practice. 62(602). 501–502. 22 indexed citations
19.
Yaniv, Gal, Noga Shabshin, Michal Sharon, et al.. (2011). Osteoid osteoma—the CT vessel sign. Skeletal Radiology. 40(10). 1311–1314. 17 indexed citations
20.
Yaniv, Gal, et al.. (2011). Correlation between radiological and pathological findings for a sudden death incident in the emergency department.. PubMed. 13(11). 707–8. 3 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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