Payam Nahavandi

18 total papers · 990 total citations
6 papers, 691 citations indexed

About

Payam Nahavandi is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Payam Nahavandi has authored 6 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Epidemiology. Recurrent topics in Payam Nahavandi's work include Cerebrospinal fluid and hydrocephalus (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Traumatic Brain Injury Research (2 papers). Payam Nahavandi is often cited by papers focused on Cerebrospinal fluid and hydrocephalus (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Traumatic Brain Injury Research (2 papers). Payam Nahavandi collaborates with scholars based in United Kingdom, United States and Norway. Payam Nahavandi's co-authors include Ozama Ismail, Yolanda Ohene, Mark F. Lythgoe, Ian F. Harrison, Jack A. Wells, Erlend A. Nagelhus, Ole Petter Ottersen, David L. Thomas, Alice Fisher and Tracey K. Murray and has published in prestigious journals such as Nature Communications, NeuroImage and Brain.

In The Last Decade

Payam Nahavandi

6 papers receiving 689 citations

Hit Papers

Impaired glymphatic funct... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Payam Nahavandi 469 252 204 165 119 6 691
Yolanda Ohene 484 1.0× 254 1.0× 253 1.2× 173 1.0× 122 1.0× 15 769
Sunil Koundal 481 1.0× 334 1.3× 129 0.6× 162 1.0× 110 0.9× 21 723
Beatrice Bedussi 456 1.0× 312 1.2× 100 0.5× 176 1.1× 94 0.8× 6 626
O R Blaumanis 466 1.0× 252 1.0× 72 0.4× 156 0.9× 106 0.9× 10 688
S. Meftah 334 0.7× 171 0.7× 92 0.5× 78 0.5× 80 0.7× 18 629
Romain Goulay 415 0.9× 436 1.7× 59 0.3× 151 0.9× 97 0.8× 13 697
Roxana Aldea 269 0.6× 240 1.0× 58 0.3× 94 0.6× 55 0.5× 8 593
Eric A. Linell 328 0.7× 209 0.8× 40 0.2× 227 1.4× 124 1.0× 15 750
D.R. Held 308 0.7× 186 0.7× 45 0.2× 99 0.6× 25 0.2× 13 759
Takuji Yamamoto 361 0.8× 442 1.8× 38 0.2× 129 0.8× 116 1.0× 16 767

Countries citing papers authored by Payam Nahavandi

Since Specialization
Citations

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

Fields of papers citing papers by Payam Nahavandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payam Nahavandi

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