Payam Saadat

131 total papers · 939 total citations
89 papers, 618 citations indexed

About

Payam Saadat is a scholar working on Pathology and Forensic Medicine, Neurology and Epidemiology. According to data from OpenAlex, Payam Saadat has authored 89 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pathology and Forensic Medicine, 13 papers in Neurology and 11 papers in Epidemiology. Recurrent topics in Payam Saadat's work include Parkinson's Disease Mechanisms and Treatments (8 papers), Cancer and Skin Lesions (7 papers) and Multiple Sclerosis Research Studies (7 papers). Payam Saadat is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (8 papers), Cancer and Skin Lesions (7 papers) and Multiple Sclerosis Research Studies (7 papers). Payam Saadat collaborates with scholars based in Iran, United States and Sweden. Payam Saadat's co-authors include Manjunath S. Vadmal, Ramin Ram, William H. Slattery, Rong Chang, Mei Chen, Zhi Liu, David T. Woodley, Kiarash Saleki, Abolfazl Rahmani and Hamid Reza Nouri and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Investigative Dermatology.

In The Last Decade

Payam Saadat

81 papers receiving 608 citations

Author Peers

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

Author						Papers	Cites
Payam Saadat	143	120	101	95	89	89	618
Carmencita Jimenez	111 0.8×	185 1.5×	51 0.5×	85 0.9×	127 1.4×	43	590
Kai Dämmert	53 0.4×	75 0.6×	69 0.7×	37 0.4×	119 1.3×	47	551
Hiroshi Okuno	125 0.9×	175 1.5×	102 1.0×	21 0.2×	246 2.8×	79	669
Michinari Muraoka	68 0.5×	83 0.7×	46 0.5×	37 0.4×	257 2.9×	49	564
Anna M. Stagner	49 0.3×	96 0.8×	73 0.7×	33 0.3×	111 1.2×	92	601
M Cagnoni	236 1.7×	81 0.7×	184 1.8×	38 0.4×	47 0.5×	44	622
Alina Markova	56 0.4×	169 1.4×	43 0.4×	36 0.4×	68 0.8×	66	692
Hua‐Ching Chang	47 0.3×	158 1.3×	98 1.0×	34 0.4×	52 0.6×	45	570
Shuo Li	115 0.8×	124 1.0×	83 0.8×	18 0.2×	160 1.8×	57	651
Reginald Marsh	97 0.7×	202 1.7×	25 0.2×	35 0.4×	186 2.1×	45	671

Countries citing papers authored by Payam Saadat

Since Specialization

Citations

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

Fields of papers citing papers by Payam Saadat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payam Saadat

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