Mohammad Akbari

63 total papers · 475 total citations
33 papers, 316 citations indexed

About

Mohammad Akbari is a scholar working on Surgery, Pharmacology and Cell Biology. According to data from OpenAlex, Mohammad Akbari has authored 33 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Pharmacology and 12 papers in Cell Biology. Recurrent topics in Mohammad Akbari's work include Musculoskeletal pain and rehabilitation (12 papers), Myofascial pain diagnosis and treatment (12 papers) and Spine and Intervertebral Disc Pathology (8 papers). Mohammad Akbari is often cited by papers focused on Musculoskeletal pain and rehabilitation (12 papers), Myofascial pain diagnosis and treatment (12 papers) and Spine and Intervertebral Disc Pathology (8 papers). Mohammad Akbari collaborates with scholars based in Iran, United States and Norway. Mohammad Akbari's co-authors include Soghrat Faghihzadeh, Hossein Karimi, Hassan Jafari, Yahya Javadian, Noureddin Nakhostin Ansari, Scott Hasson, Soofia Naghdi, Asghar Rezasoltani, Javad Sarrafzadeh and Mohammad Bayat and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Rehabilitation Research and Development and Archives of Orthopaedic and Trauma Surgery.

In The Last Decade

Mohammad Akbari

30 papers receiving 304 citations

Author Peers

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

Author						Papers	Cites
Mohammad Akbari	119	99	87	60	46	33	316
Fatemeh Azadinia	92 0.8×	141 1.4×	147 1.7×	88 1.5×	69 1.5×	41	353
Asghar Akbari	80 0.7×	132 1.3×	95 1.1×	42 0.7×	60 1.3×	38	304
Kanagaraj Rengaramanujam	81 0.7×	142 1.4×	54 0.6×	40 0.7×	45 1.0×	26	336
Jemyung Shim	88 0.7×	97 1.0×	71 0.8×	62 1.0×	21 0.5×	38	339
Mastour Saeed Alshahrani	79 0.7×	204 2.1×	61 0.7×	53 0.9×	46 1.0×	40	353
Elżbieta Szczygieł	73 0.6×	93 0.9×	85 1.0×	68 1.1×	28 0.6×	34	315
Nobuharu Suzuki	79 0.7×	109 1.1×	42 0.5×	67 1.1×	34 0.7×	29	266
Rosana Macher Teodori	58 0.5×	84 0.8×	88 1.0×	37 0.6×	47 1.0×	30	360
Catarina de Oliveira Sousa	54 0.5×	97 1.0×	126 1.4×	47 0.8×	37 0.8×	33	329
Farid Bahrpeyma	52 0.4×	94 0.9×	64 0.7×	42 0.7×	21 0.5×	43	345

Countries citing papers authored by Mohammad Akbari

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Akbari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Akbari

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