Pardis Saeedi

18 papers receiving 398 citations

Peers

Pardis Saeedi
Comparison fields: 5 of 82
  • Genetics 153
  • Endocrinology 33
  • Developmental Neuroscience 11
  • Rehabilitation 18
  • Cancer Research 39
Replace Julia Hupfeld with:
Julia Hupfeld Germany
Huihui Liu China
Eun Kyoung Shin South Korea
Susan A. Safley United States
Aaron Gardner United Kingdom
Sean Tighe United States
Eric M. Wier United States
Jonas Steinmann Germany
Diana González‐Espinosa Mexico
Afrodite Lourbakos Australia
Pardis Saeedi relative to Julia Hupfeld Germany Julia Hupfeld's profile →
Citations per field
00.5×4.1×
Julia Hupfeld · 1×
Citations per year

Countries citing papers authored by Pardis Saeedi

Since Specialization
Citations

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

Fields of papers citing papers by Pardis Saeedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Pardis Saeedi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pardis Saeedi Line = papers co-authored together Pardis Saeedi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019187
2 201760
3 201840
4 201829
5 201523
6 202115
7 201213
8 201211
9 20229
10 20214
11 20123
12 20233
13 20113
14 20232
15 20232
16 20241
17 20251
18
Detection of Acinetobacter baumannii by PCR-ELISA method
20171
19 20240
20 20230

About Pardis Saeedi

Pardis Saeedi is a scholar working on Genetics, Molecular Biology, Surgery, Cellular and Molecular Neuroscience and Oncology, having authored 21 papers that have together received 407 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Photoreceptor and optogenetics research (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Neuroscience and Neural Engineering (2 papers), Cancer Cells and Metastasis (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Wound Healing and Treatments (2 papers) and Saffron Plant Research Studies (2 papers). The work is most often cited by research in Genetics (153 citations), Endocrinology (33 citations), Developmental Neuroscience (11 citations), Rehabilitation (18 citations) and Cancer Research (39 citations). Pardis Saeedi has collaborated with scholars based in Iran, Malaysia and United Kingdom. Frequent co-authors include Raheleh Halabian, Abbas Ali Imani Fooladi, Shahram Nazarian, Jafar Amani, Ali Hatef Salmanian, Elham Behzadi, Seyed Latif Mousavi Gargari, Jalil Fallah Mehrabadi, Jafar Salimian and Mehrdad Behmanesh. Their work appears in journals such as Microbial Pathogenesis, Cellular & Molecular Biology Letters, Biotechnology Letters, Bioorganic Chemistry and Journal of Cellular Physiology.

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.

Explore authors with similar magnitude of impact