Morteza Shams

81 total papers · 813 total citations
62 papers, 485 citations indexed

About

Morteza Shams is a scholar working on Parasitology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Morteza Shams has authored 62 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Parasitology, 22 papers in Molecular Biology and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Morteza Shams's work include Parasitic Infections and Diagnostics (21 papers), vaccines and immunoinformatics approaches (19 papers) and Toxoplasma gondii Research Studies (14 papers). Morteza Shams is often cited by papers focused on Parasitic Infections and Diagnostics (21 papers), vaccines and immunoinformatics approaches (19 papers) and Toxoplasma gondii Research Studies (14 papers). Morteza Shams collaborates with scholars based in Iran, United States and Afghanistan. Morteza Shams's co-authors include Ali Asghari, Laya Shamsi, Alireza Sadrebazzaz, Hamidreza Majidiani, Soheil Hassanipour, Hamid Irannejad, Saeed Shahabi, Gholam Basati, Behnam Mohammadi‐Ghalehbin and Davood Anvari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environmental Science and Pollution Research.

In The Last Decade

Morteza Shams

59 papers receiving 478 citations

Author Peers

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

Author						Papers	Cites
Morteza Shams	314	128	95	88	67	62	485
Saw Bawm	212 0.7×	103 0.8×	118 1.2×	32 0.4×	40 0.6×	54	457
Mohammad Ali Mohaghegh	163 0.5×	54 0.4×	87 0.9×	72 0.8×	111 1.7×	70	434
Ewa Długosz	257 0.8×	89 0.7×	139 1.5×	23 0.3×	42 0.6×	47	470
Kun Shi	108 0.3×	84 0.7×	140 1.5×	35 0.4×	58 0.9×	49	516
Ülkü Karaman	191 0.6×	74 0.6×	132 1.4×	65 0.7×	52 0.8×	102	501
Ahmad Nematollahi	219 0.7×	111 0.9×	88 0.9×	48 0.5×	23 0.3×	49	485
Omnia M. Kandil	176 0.6×	100 0.8×	78 0.8×	78 0.9×	17 0.3×	47	503
Elham Moghaddas	168 0.5×	35 0.3×	94 1.0×	53 0.6×	105 1.6×	58	486
Amir Tavakoli Kareshk	199 0.6×	70 0.5×	59 0.6×	110 1.3×	126 1.9×	40	518
Fabienne D. Uehlinger	229 0.7×	74 0.6×	180 1.9×	18 0.2×	55 0.8×	35	546

Countries citing papers authored by Morteza Shams

Since Specialization

Citations

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

Fields of papers citing papers by Morteza Shams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morteza Shams

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