Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Advancements in tissue and organ 3D bioprinting: Current techniques, applications, and future perspectives
202470 citationsHamid Rashedi, Fatemeh Yazdian et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Hamid Rashedi'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 Hamid Rashedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Rashedi more than expected).
This network shows the impact of papers produced by Hamid Rashedi. 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 Hamid Rashedi. The network helps show where Hamid Rashedi may publish in the future.
Co-authorship network of co-authors of Hamid Rashedi
This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Rashedi.
A scholar is included among the top collaborators of Hamid Rashedi 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 Hamid Rashedi. Hamid Rashedi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Karimi, Elham, et al.. (2018). Biodesulfurization of Dibenzothiophene by Rhodococcus erythropolis IGTS8 in the Presence of Magnetic Nanoparticles and Carbon Nanotubes Surface-modified Polyethylene Glycol. 9(2). 301–308.1 indexed citations
12.
Rashedi, Hamid, et al.. (2018). Comparative Assessment of Crude Oil Biodegradation by Acinetobacter Calcoaceticus RAG-1 in the Presence and Absence of Biofunctional Magnetic Nanoparticles. 9(2). 309–315.1 indexed citations
Rashedi, Hamid, et al.. (2016). The Effect of Silver Nanofilms based on Titaniom Dioxide on the Shelf-life of Rainbow Trout Fillet (Oncorhynchus mykiss). Iranian Journal of Nutrition Sciences and Food Technology. 11(3). 85–92.3 indexed citations
15.
Rashedi, Hamid, Ali Izadi, & Mehdi Esmaeili Bidhendi. (2015). Optimization of Operational Parameters in Rhamnolipid Production by Pseudomonas aeruginosa MM1011 in a Miniaturized Shaken Bioreactor. 2(3). 271–278.4 indexed citations
16.
Rashedi, Hamid, et al.. (2015). Assessment of phytochemical and antioxidant properties of the Capparis spinosa L. in Khuzestan province. The Journal of Qazvin University of Medical Sciences. 18(677). 11–17.3 indexed citations
Ghasemlou, Mehran, et al.. (2013). Preparation and Investigation of Antimicrobial Biodegradable Edible Film Based on Corn Starch. Iranian Journal of Nutrition Sciences and Food Technology. 7(5). 115–123.2 indexed citations
19.
Sheikhi, Amir, et al.. (2008). Influence of fungal enzyme pre-treatment on totally chlorine-free (TCF) bleaching of dimethyl formamide bagasse pulp. Iranian Journal of Biotechnology. 6(3). 144–150.1 indexed citations
20.
Rashedi, Hamid, et al.. (2006). Optimization of the Production of Biosurfactant by Psuedomonas aeruginosa HR Isolated from an Iranian Southern Oil Well. SHILAP Revista de lepidopterología.11 indexed citations
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.