Silvia Sookoian

2.0k citations
27 papers · 1.5k indexed · h-index 15
Topics
Liver Disease Diagnosis and Treatment (16 papers)Endoplasmic Reticulum Stress and Disease (6 papers)Diet, Metabolism, and Disease (5 papers)

In The Last Decade

Silvia Sookoian

25 papers receiving 1.4k citations

Peers

Silvia Sookoian
Comparison fields: 5 of 97
  • Epidemiology 807
  • Molecular Biology 589
  • Endocrinology, Diabetes and Metabolism 411
  • Cancer Research 335
  • Physiology 248
Replace Mingjiang Xu with:
Mingjiang Xu United States
Yanchuan Li China
Ian Sipula United States
Simon W. Beaven United States
Niels Kloosterhuis Netherlands
TianTeng He United States
Cristiano De Stefanis Italy
Lionel Fizanne France
Joseph W. Beals United States
Adam B. Mayerson United States
Silvia Sookoian relative to Mingjiang Xu United States Mingjiang Xu's profile →
Citations per field
00.5×1.5×2.4×
Mingjiang Xu · 1×
Citations per year

Countries citing papers authored by Silvia Sookoian

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Sookoian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Sookoian

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Sookoian. A scholar is included among the top collaborators of Silvia Sookoian 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 Silvia Sookoian. Silvia Sookoian 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 47
2 15
3 11
4 53
5 438
6 1
7 22
8 15
9 77
10 288
11 39
12 202
13 2
14 72
15 46
16 15
17 66
18
[Propranolol and 5-isosorbide mononitrate in patients with cirrhosis: systemic and portal hemodynamic events].
0
19 11
20 1

About Silvia Sookoian

Silvia Sookoian is a scholar working on Hepatology, Epidemiology and Cell Biology, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (16 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (411 citations), Epidemiology (807 citations) and Cancer Research (335 citations). Silvia Sookoian has collaborated with scholars based in Argentina, United States and Chile. Frequent co-authors include Carlos J. Pirola, Tomas Fernández Gianotti, Gustavo Castaño, Julio San Martino, Arun J. Sanyal, F. Mirshahi, Diego Flichman, María Mora González López Ledesma, Adriana L. Burgueño and César Fabián Loidl. Their work appears in journals such as PLoS ONE, Hepatology and Gut.

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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