Fariba Vaziri‐Sani

42 total papers · 1.7k total citations
34 papers, 921 citations indexed

About

Fariba Vaziri‐Sani is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Fariba Vaziri‐Sani has authored 34 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 21 papers in Surgery and 18 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Fariba Vaziri‐Sani's work include Diabetes and associated disorders (24 papers), Pancreatic function and diabetes (20 papers) and Diabetes Management and Research (12 papers). Fariba Vaziri‐Sani is often cited by papers focused on Diabetes and associated disorders (24 papers), Pancreatic function and diabetes (20 papers) and Diabetes Management and Research (12 papers). Fariba Vaziri‐Sani collaborates with scholars based in Sweden, United States and Denmark. Fariba Vaziri‐Sani's co-authors include Åke Lernmark, Diana Karpman, Ann‐Charlotte Kristoffersson, Helena Elding Larsson, Annelie Carlsson, Anne-lie Ståhl, Reem Raafat, Peter F. Zipfel, Véronique Frémeaux‐Bacchi and Anders G. Sjöholm and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Diabetes.

In The Last Decade

Fariba Vaziri‐Sani

34 papers receiving 914 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fariba Vaziri‐Sani 490 406 389 323 184 34 921
Julie A. Lane 418 0.9× 266 0.7× 357 0.9× 227 0.7× 280 1.5× 27 1.1k
Setsuya Naito 151 0.3× 121 0.3× 523 1.3× 90 0.3× 94 0.5× 48 1.1k
Bertil Lindquist 212 0.4× 128 0.3× 193 0.5× 107 0.3× 63 0.3× 31 858
B. Uring‐Lambert 155 0.3× 100 0.2× 555 1.4× 98 0.3× 189 1.0× 46 1.2k
V. Lepage 474 1.0× 245 0.6× 739 1.9× 195 0.6× 127 0.7× 46 1.2k
J. Awad 224 0.5× 132 0.3× 557 1.4× 60 0.2× 97 0.5× 42 1.1k
Doron Markovits 227 0.5× 176 0.4× 294 0.8× 91 0.3× 79 0.4× 33 1.1k
J Barbosa 499 1.0× 292 0.7× 380 1.0× 230 0.7× 27 0.1× 20 858
Carlo Socci 259 0.5× 463 1.1× 480 1.2× 156 0.5× 23 0.1× 38 1.2k
G. J. O’Neill 147 0.3× 65 0.2× 383 1.0× 110 0.3× 214 1.2× 21 850

Countries citing papers authored by Fariba Vaziri‐Sani

Since Specialization
Citations

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

Fields of papers citing papers by Fariba Vaziri‐Sani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fariba Vaziri‐Sani. 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 Fariba Vaziri‐Sani. The network helps show where Fariba Vaziri‐Sani may publish in the future.

Co-authorship network of co-authors of Fariba Vaziri‐Sani

This figure shows the co-authorship network connecting the top 25 collaborators of Fariba Vaziri‐Sani. A scholar is included among the top collaborators of Fariba Vaziri‐Sani 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 Fariba Vaziri‐Sani. Fariba Vaziri‐Sani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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