S. Silvera

2.6k citations
55 papers · 2.0k · h-index 19

Impact in

Papers in

S. Silvera

52 papers receiving 1.9k citations

Peers

S. Silvera
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 627
  • Surgery 984
  • Cancer Research 307
  • Radiology, Nuclear Medicine and Imaging 252
  • Genetics 76
Replace Michael Hofmann with:
Michael Hofmann Germany
Massimo Venturini Italy
Christian Scheuba Austria
Michael Gabriel Austria
Takashi Ohta Japan
Tara D. Barwick United Kingdom
Isamu Narabayashi Japan
Soon Jin Lee South Korea
JL Doppman United States
Chun K. Kim United States
S. Silvera relative to Michael Hofmann Germany Michael Hofmann's profile →
Citations per field
00.5×1.5×1.8×
Michael Hofmann · 1×
Citations per year

Countries citing papers authored by S. Silvera

Since Specialization
Citations

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

Fields of papers citing papers by S. Silvera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Silvera, 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 S. Silvera Line = papers co-authored together S. Silvera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007355
2 2006186
3 2009156
4 2012151
5 2010145
6 2009129
7 2019122
8 2010113
9
Spontaneous intracerebral hematoma on diffusion-weighted images: influence of T2-shine-through and T2-blackout effects.
2005110
10 201079
11 201367
12 200844
13 201632
14 201731
15 201528
16 200824
17 201624
18 201121
19 201221
20 201719

About S. Silvera

S. Silvera is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (8 papers), Pituitary Gland Disorders and Treatments (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Maternal and fetal healthcare (4 papers), Cardiac Imaging and Diagnostics (4 papers), Hormonal Regulation and Hypertension (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (627 citations), Surgery (984 citations), Cancer Research (307 citations), Radiology, Nuclear Medicine and Imaging (252 citations) and Genetics (76 citations). S. Silvera has collaborated with scholars based in France, United States and Germany. Frequent co-authors include XAVIER Y. BERTAGNA, Jérôme Bertherat, Paul Legmann, Joël Coste, Bertrand E. Dousset, Zahi Adel Fayad, Éric Baudin, Pierre‐François Plouin, Séverine Peyrard and Anne‐Paule Gimenez‐Roqueplo. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Radiology, Radiographics, European Journal of Endocrinology and European Radiology.

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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