Leila Saadatpour

726 citations
15 papers · 589 indexed · h-index 7
Topics
Parkinson's Disease Mechanisms and Treatments (3 papers)Neuroinflammation and Neurodegeneration Mechanisms (3 papers)Extracellular vesicles in disease (2 papers)
Partner nations
United StatesIranBelgium

In The Last Decade

Leila Saadatpour

14 papers receiving 587 citations

Peers

Leila Saadatpour
Comparison fields: 5 of 79
  • Molecular Biology 382
  • Cancer Research 296
  • Immunology 84
  • Neurology 56
  • Neurology 47
Replace Ying Peng with:
Ying Peng China
Vítor Carmona Portugal
Doina Manu Romania
Panpan Xian China
Raghavendra Upadhya United States
Shuqin Zhan China
Sarrabeth Stone United States
Jessica Schlaudraff Germany
Sienna Drake Canada
Leila Saadatpour relative to Ying Peng China Ying Peng's profile →
Citations per field
00.5×1.5×2.2×
Ying Peng · 1×
Citations per year

Countries citing papers authored by Leila Saadatpour

Since Specialization
Citations

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

Fields of papers citing papers by Leila Saadatpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leila Saadatpour

This figure shows the co-authorship network connecting the top 25 collaborators of Leila Saadatpour. A scholar is included among the top collaborators of Leila Saadatpour 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 Leila Saadatpour. Leila Saadatpour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 28
5 1
6 16
7 3
8 54
9 1
10 97
11 168
12 10
13 201
14
A Novel Approach to Discriminate Subgroups in Multiple Sclerosis.
4
15 3

About Leila Saadatpour

Leila Saadatpour is a scholar working on Biological Psychiatry, Neurology and Neurology, having authored 15 papers that have together received 589 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Cancer Research (296 citations), Biological Psychiatry (24 citations) and Neurology (56 citations). Leila Saadatpour has collaborated with scholars based in United States, Iran and Belgium. Frequent co-authors include Hamed Mirzaei, Mohammad Goodarzi, Aria Masoudifar, Reyhaneh Nassiri Mansour, Javad Verdi, Seyed Mojtaba Mousavi, Sara Fadaei, Mohsen Mohammadi, Amirhossein Sahebkar and Fatemeh Momeni. Their work appears in journals such as Neurology, Journal of Cellular Physiology and Brain Behavior and Immunity.

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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