Sepideh Shakeri

63 total papers · 978 total citations
41 papers, 710 citations indexed

About

Sepideh Shakeri is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Sepideh Shakeri has authored 41 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Molecular Biology. Recurrent topics in Sepideh Shakeri's work include Prostate Cancer Diagnosis and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Prostate Cancer Treatment and Research (5 papers). Sepideh Shakeri is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Prostate Cancer Treatment and Research (5 papers). Sepideh Shakeri collaborates with scholars based in Iran, United States and Canada. Sepideh Shakeri's co-authors include Steven S. Raman, Kyunghyun Sung, Sohrab Afshari Mirak, Dieter R. Enzmann, Amirhossein Mohammadian Bajgiran, Xinran Zhong, Ruiming Cao, Hossein Ayatollahi, Anthony Sisk and Holden H. Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Radiology.

In The Last Decade

Sepideh Shakeri

41 papers receiving 695 citations

Author Peers

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

Author						Papers	Cites
Sepideh Shakeri	324	298	117	99	91	41	710
Swapnil Rane	135 0.4×	276 0.9×	177 1.5×	106 1.1×	22 0.2×	82	837
U. Raeth	95 0.3×	147 0.5×	42 0.4×	54 0.5×	178 2.0×	23	727
Antonella Balestrieri	199 0.6×	228 0.8×	102 0.9×	21 0.2×	20 0.2×	49	776
Roos J. Leguit	123 0.4×	66 0.2×	120 1.0×	162 1.6×	116 1.3×	42	873
Mehdi Taghipour	258 0.8×	388 1.3×	41 0.4×	28 0.3×	32 0.4×	33	694
L. Gill Naul	196 0.6×	300 1.0×	118 1.0×	45 0.5×	9 0.1×	30	712
Alexandra E. Kovach	217 0.7×	81 0.3×	25 0.2×	78 0.8×	42 0.5×	60	812
Wolfgang Thaiss	206 0.6×	308 1.0×	21 0.2×	82 0.8×	21 0.2×	66	828
Nieves Gómez León	340 1.0×	288 1.0×	14 0.1×	24 0.2×	36 0.4×	38	832
M. Medl	49 0.2×	235 0.8×	72 0.6×	102 1.0×	48 0.5×	36	865

Countries citing papers authored by Sepideh Shakeri

Since Specialization

Citations

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

Fields of papers citing papers by Sepideh Shakeri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sepideh Shakeri

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