Maryam Daneshvar

67 total papers · 2.5k total citations
55 papers, 1.8k citations indexed

About

Maryam Daneshvar is a scholar working on Molecular Biology, Epidemiology and Endocrinology. According to data from OpenAlex, Maryam Daneshvar has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Epidemiology and 12 papers in Endocrinology. Recurrent topics in Maryam Daneshvar's work include Genomics and Phylogenetic Studies (13 papers), Infections and bacterial resistance (7 papers) and Bacterial Identification and Susceptibility Testing (7 papers). Maryam Daneshvar is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Infections and bacterial resistance (7 papers) and Bacterial Identification and Susceptibility Testing (7 papers). Maryam Daneshvar collaborates with scholars based in United States, Iran and Canada. Maryam Daneshvar's co-authors include Arnold G. Steigerwalt, D G Hollis, Robbin S. Weyant, C W Moss, D J Brenner, S P O'Connor, J B Brooks, Roger E. Morey, R E Weaver and Jennifer S. Daly and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

Maryam Daneshvar

52 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Maryam Daneshvar 529 443 383 347 277 55 1.8k
Lori A. Rowe 577 1.1× 370 0.8× 297 0.8× 353 1.0× 60 0.2× 82 1.7k
Potjanee Srimanote 603 1.1× 284 0.6× 178 0.5× 785 2.3× 163 0.6× 89 2.3k
Gernot Geginat 617 1.2× 497 1.1× 128 0.3× 440 1.3× 404 1.5× 86 2.2k
David J. Mead 859 1.6× 705 1.6× 295 0.8× 651 1.9× 66 0.2× 32 2.4k
Ghislaine Guigon 472 0.9× 338 0.8× 192 0.5× 500 1.4× 42 0.2× 29 1.7k
Keun Seok Seo 804 1.5× 250 0.6× 74 0.2× 778 2.2× 193 0.7× 63 2.0k
Mireya de la Garza 603 1.1× 198 0.4× 342 0.9× 599 1.7× 50 0.2× 90 2.2k
Raquel Tobes 1.3k 2.5× 242 0.5× 130 0.3× 295 0.9× 144 0.5× 42 2.2k
Claudia Toma 846 1.6× 179 0.4× 265 0.7× 615 1.8× 127 0.5× 88 2.4k
Yuko Yoshikawa 864 1.6× 579 1.3× 160 0.4× 175 0.5× 113 0.4× 44 1.8k

Countries citing papers authored by Maryam Daneshvar

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Daneshvar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Daneshvar

This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Daneshvar. A scholar is included among the top collaborators of Maryam Daneshvar 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 Maryam Daneshvar. Maryam Daneshvar 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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