Maryam Rafraf

110 total papers · 2.4k total citations
97 papers, 1.9k citations indexed

About

Maryam Rafraf is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Nutrition and Dietetics. According to data from OpenAlex, Maryam Rafraf has authored 97 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Endocrinology, Diabetes and Metabolism, 23 papers in Epidemiology and 22 papers in Nutrition and Dietetics. Recurrent topics in Maryam Rafraf's work include Liver Disease Diagnosis and Treatment (18 papers), Diet and metabolism studies (12 papers) and Nutritional Studies and Diet (11 papers). Maryam Rafraf is often cited by papers focused on Liver Disease Diagnosis and Treatment (18 papers), Diet and metabolism studies (12 papers) and Nutritional Studies and Diet (11 papers). Maryam Rafraf collaborates with scholars based in Iran, Australia and United States. Maryam Rafraf's co-authors include Mohammad Asghari Jafarabadi, Laya Farzadi, Aziz Homayouni Rad, Somayyeh Asghari, Sara Shojaei‐Zarghani, Seyed Massood Nabavi, Mohammad Hossein Somi, Elahe Mohammadi, Bahram Pourghassem Gargari and Mohammad‐Hossein Somi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Dairy Science.

In The Last Decade

Maryam Rafraf

88 papers receiving 1.8k citations

Author Peers

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

Author						Papers	Cites
Maryam Rafraf	485	442	373	333	315	97	1.9k
Ehsan Ghaedi	253 0.5×	324 0.7×	526 1.4×	357 1.1×	387 1.2×	92	1.8k
Hassan Mozaffari–Khosravi	267 0.6×	366 0.8×	514 1.4×	376 1.1×	509 1.6×	145	2.5k
Zorana Jelić‐Ivanović	388 0.8×	490 1.1×	326 0.9×	452 1.4×	217 0.7×	104	2.3k
Vesna Spasojević‐Kalimanovska	414 0.9×	619 1.4×	339 0.9×	426 1.3×	307 1.0×	122	2.7k
Fatemeh Haidari	156 0.3×	318 0.7×	372 1.0×	392 1.2×	228 0.7×	84	1.6k
Amir Hadi	415 0.9×	493 1.1×	789 2.1×	701 2.1×	490 1.6×	122	3.1k
Zhaofeng Zhang	223 0.5×	330 0.7×	409 1.1×	828 2.5×	197 0.6×	126	2.4k
Giuseppe Annunziata	363 0.7×	340 0.8×	738 2.0×	838 2.5×	331 1.1×	91	3.0k
Hamed Kord‐Varkaneh	414 0.9×	611 1.4×	839 2.2×	395 1.2×	417 1.3×	130	2.6k
Helda Tutunchi	481 1.0×	333 0.8×	343 0.9×	436 1.3×	210 0.7×	87	1.7k

Countries citing papers authored by Maryam Rafraf

Since Specialization

Citations

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

Fields of papers citing papers by Maryam Rafraf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Rafraf

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