Nima Motamed

106 total papers · 1.5k total citations
74 papers, 983 citations indexed

About

Nima Motamed is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nima Motamed has authored 74 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 22 papers in Endocrinology, Diabetes and Metabolism and 19 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nima Motamed's work include Liver Disease Diagnosis and Treatment (25 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers) and Diet, Metabolism, and Disease (11 papers). Nima Motamed is often cited by papers focused on Liver Disease Diagnosis and Treatment (25 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers) and Diet, Metabolism, and Disease (11 papers). Nima Motamed collaborates with scholars based in Iran, United Kingdom and United States. Nima Motamed's co-authors include Farhad Zamani, Mansooreh Maadi, Hossein Ajdarkosh, Behnam Rabiee, Gholamreza Hemmasi, Hossein Keyvani, Fatemeh Sima Saeedian, Mahmood Reza Khonsari, Masoudreza Sohrabi and Hossein Poustchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and World Journal of Gastroenterology.

In The Last Decade

Nima Motamed

71 papers receiving 966 citations

Author Peers

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

Author						Papers	Cites
Nima Motamed	509	385	171	162	150	74	983
Guotai Sheng	468 0.9×	433 1.1×	106 0.6×	78 0.5×	171 1.1×	57	823
Daniela Catalano	492 1.0×	306 0.8×	120 0.7×	110 0.7×	135 0.9×	54	1.1k
Joong‐Myung Choi	336 0.7×	281 0.7×	82 0.5×	142 0.9×	193 1.3×	41	908
Seung Ha Park	643 1.3×	240 0.6×	306 1.8×	85 0.5×	110 0.7×	55	1.0k
Ying Shang	538 1.1×	260 0.7×	150 0.9×	84 0.5×	113 0.8×	81	1.2k
Carrie McAdam‐Marx	290 0.6×	305 0.8×	144 0.8×	162 1.0×	114 0.8×	74	1.1k
K. R. Sundaram	323 0.6×	341 0.9×	150 0.9×	184 1.1×	76 0.5×	42	1.1k
William K. B. A. Owiredu	382 0.8×	189 0.5×	236 1.4×	139 0.9×	92 0.6×	80	1.1k
Hossein Ajdarkosh	539 1.1×	319 0.8×	215 1.3×	79 0.5×	71 0.5×	73	1.2k
Ilana Goldiner	536 1.1×	204 0.5×	193 1.1×	84 0.5×	63 0.4×	64	1.0k

Countries citing papers authored by Nima Motamed

Since Specialization

Citations

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

Fields of papers citing papers by Nima Motamed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nima Motamed

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