Pardis Saeedi

19 papers receiving 431 citations

Peers

Pardis Saeedi
Comparison fields: 5 of 82
  • Genetics 153
  • Endocrinology 31
  • Developmental Neuroscience 11
  • Molecular Biology 177
  • Cancer Research 35
Replace Eun Kyoung Shin with:
Eun Kyoung Shin South Korea
Ekaterina A. Evtushenko Russia
Huihui Liu China
Aaron Gardner United Kingdom
Sean Tighe United States
Eric M. Wier United States
Emma Tabe Eko Niba Japan
Jonas Steinmann Germany
Pardis Saeedi relative to Eun Kyoung Shin South Korea Eun Kyoung Shin's profile →
Citations per field
00.5×2×2.7×
Eun Kyoung Shin · 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 25 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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019198
2 201764
3 201843
4 201831
5 201526
6 202118
7 201216
8 201213
9 202210
10 20216
11 20233
12 20123
13 20113
14 20232
15 20232
16 20241
17 20251
18 20241
19
Detection of Acinetobacter baumannii by PCR-ELISA method
20171
20 20230

About Pardis Saeedi

Pardis Saeedi is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Surgery, having authored 22 papers that have together received 442 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (8 papers), Photoreceptor and optogenetics research (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Vibrio bacteria research studies (2 papers), Saffron Plant Research Studies (2 papers), Cancer Cells and Metastasis (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Genetics (153 citations), Endocrinology (31 citations), Developmental Neuroscience (11 citations), Molecular Biology (177 citations) and Cancer Research (35 citations). Pardis Saeedi has collaborated with scholars based in Iran, Malaysia and United Kingdom. Frequent co-authors include Raheleh Halabian, Abbas Ali Imani Fooladi, Seyed Latif Mousavi Gargari, Ali Hatef Salmanian, Elham Behzadi, Shahram Nazarian, Jafar Amani, Jafar Salimian, Jalil Fallah Mehrabadi and Mehrdad Behmanesh. Their work appears in journals such as Tissue and Cell, Inhalation Toxicology, Cytotherapy, Bioorganic Chemistry and Journal of Proteomics.

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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