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.
Multiple Sclerosis: Pathogenesis, Symptoms, Diagnoses and Cell-Based Therapy.
Countries citing papers authored by Shahnaz Razavi
Since
Specialization
Citations
This map shows the geographic impact of Shahnaz Razavi'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 Shahnaz Razavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahnaz Razavi more than expected).
This network shows the impact of papers produced by Shahnaz Razavi. 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 Shahnaz Razavi. The network helps show where Shahnaz Razavi may publish in the future.
Co-authorship network of co-authors of Shahnaz Razavi
This figure shows the co-authorship network connecting the top 25 collaborators of Shahnaz Razavi.
A scholar is included among the top collaborators of Shahnaz Razavi 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 Shahnaz Razavi. Shahnaz Razavi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Semnani, Dariush, et al.. (2017). A novel biodegradable micro-nano tubular knitted structure of PGA braided yarns and PCL nanofibres applicable as esophagus prosthesis. Indian Journal of Fibre & Textile Research (IJFTR). 42(3). 264–270.4 indexed citations
Mostafavi, Firoozeh, Shahnaz Razavi, Mohammad Mardani, et al.. (2014). Comparative Study of Microtubule-associated Protein-2 and Glial Fibrillary Acidic Proteins during Neural Induction of Human Bone Marrow Mesenchymal Stem Cells and Adipose-Derived Stem Cells. SHILAP Revista de lepidopterología.10 indexed citations
5.
Salimi, Marzieh, Daryoush Shahbazi‐Gahrouei, Saeed Karbasi, Saeed Kermani, & Shahnaz Razavi. (2013). Effect of Extremely Low-Frequency (50 Hz) Field on Proliferation Rate of Human Adipose-Derived Mesenchymal Stem Cells. SHILAP Revista de lepidopterología.7 indexed citations
Razavi, Shahnaz, et al.. (2012). Increase the continuity of learning the lessons of histology with discussion method. SHILAP Revista de lepidopterología. 11(938). 1162–1170.1 indexed citations
Razavi, Shahnaz, et al.. (2009). THE COMPARISON OF HA BINDING AND ZETA METHODS EFFICIENCY IN SELECTION OF SPERM WITH NORMAL MORPHOLOGY AND INTACT CHROMATIN. 27(92). 45–55.1 indexed citations
12.
Razavi, Shahnaz, et al.. (2009). Can Zeta sperm selection method, recover sperm with higher DNA integrity compare to density gradient centrifugation?. International Journal of Reproductive BioMedicine (IJRM). 7(2). 73–77.17 indexed citations
13.
Nasr‐Esfahani, Mohammad Hossein, et al.. (2009). The Comparison of Efficiency of Density Gradient Centrifugation and Zeta Methods in Separation of Mature Sperm with Normal Chromatin Structure. SHILAP Revista de lepidopterología.2 indexed citations
Nasr‐Esfahani, Mohammad Hossein, et al.. (2003). THE EFFECT OF SPERM CHROMATIN ANOMALIES ON PRONUCLEUS DIFFERENT SIZE AFTER IVF AND ICSI. Journal of Reproduction & Infertility. 4(214). 137–145.1 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.