Mariam Vahdani

9 total papers · 531 total citations
7 papers, 426 citations indexed

About

Mariam Vahdani is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and General Health Professions. According to data from OpenAlex, Mariam Vahdani has authored 7 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Pediatrics, Perinatology and Child Health and 2 papers in General Health Professions. Recurrent topics in Mariam Vahdani's work include Cancer survivorship and care (4 papers), Childhood Cancer Survivors' Quality of Life (4 papers) and Health Literacy and Information Accessibility (2 papers). Mariam Vahdani is often cited by papers focused on Cancer survivorship and care (4 papers), Childhood Cancer Survivors' Quality of Life (4 papers) and Health Literacy and Information Accessibility (2 papers). Mariam Vahdani collaborates with scholars based in Iran and United States. Mariam Vahdani's co-authors include Ali Montazeri, Soghra Jarvandi, Mehregan Haji‐Mahmoodi, Iraj Harirchi, Fatemeh Khaleghi, Mandana Ebrahimi, Mansour Ebrahimi, Shahpar Haghighat, Akram Sajadian and Mitra Barati and has published in prestigious journals such as Quality of Life Research, Patient Education and Counseling and Supportive Care in Cancer.

In The Last Decade

Mariam Vahdani

7 papers receiving 413 citations

Author Peers

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

Author						Papers	Cites
Mariam Vahdani	302	121	117	104	91	7	426
A Tait	290 1.0×	114 0.9×	134 1.1×	127 1.2×	122 1.3×	12	434
Melanie Brooke	283 0.9×	112 0.9×	130 1.1×	123 1.2×	120 1.3×	13	492
Janet L. Stewart	207 0.7×	84 0.7×	161 1.4×	159 1.5×	114 1.3×	7	457
G. M. Sprinzl	261 0.9×	91 0.8×	153 1.3×	111 1.1×	144 1.6×	7	407
Sieglinde Schmid‐Höpfner	341 1.1×	141 1.2×	152 1.3×	69 0.7×	64 0.7×	9	450
Chung-Wah Siu	316 1.0×	113 0.9×	179 1.5×	65 0.6×	123 1.4×	7	486
Nigel Palmer	389 1.3×	151 1.2×	153 1.3×	89 0.9×	149 1.6×	7	486
Lynne Colbourne	405 1.3×	144 1.2×	152 1.3×	82 0.8×	149 1.6×	5	479
Mary Lou Siefert	235 0.8×	101 0.8×	98 0.8×	112 1.1×	129 1.4×	15	477
Maggie Crowe	396 1.3×	144 1.2×	156 1.3×	102 1.0×	162 1.8×	4	484

Countries citing papers authored by Mariam Vahdani

Since Specialization

Citations

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

Fields of papers citing papers by Mariam Vahdani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariam Vahdani

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