Parisa Monfared

598 citations
16 papers · 444 · h-index 11

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Virus-based gene therapy research
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • bioluminescence and chemiluminescence research 3
    • Glioma Diagnosis and Treatment 6
    • Virus-based gene therapy research 3

Parisa Monfared

16 papers receiving 439 citations

Peers

Parisa Monfared
Comparison fields: 5 of 63
  • Genetics 99
  • Neurology 42
  • Developmental Neuroscience 17
  • Radiology, Nuclear Medicine and Imaging 94
  • Biological Psychiatry 9
Replace Anirudh Sattiraju with:
Anirudh Sattiraju United States
Deepu R. Pillai Germany
Heather M. Ames United States
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Ilya Gubskiy Russia
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Arend H. Sikkema Netherlands
Ian H. Guldner United States
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Parisa Monfared relative to Anirudh Sattiraju United States Anirudh Sattiraju's profile →
Citations per field
00.5×9.7×
Anirudh Sattiraju · 1×
Citations per year

Countries citing papers authored by Parisa Monfared

Since Specialization
Citations

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

Fields of papers citing papers by Parisa Monfared

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Parisa Monfared, 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 Parisa Monfared Line = papers co-authored together Parisa Monfared links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201377
2 200372
3 200947
4 200840
5 201037
6 201236
7 201229
8 201328
9 201126
10 200718
11 201313
12 20087
13 20124
14 20084
15 20113
16 20113

About Parisa Monfared

Parisa Monfared is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Oncology and Genetics, having authored 16 papers that have together received 444 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Cancer, Hypoxia, and Metabolism (3 papers), Medical Imaging Techniques and Applications (3 papers), bioluminescence and chemiluminescence research (3 papers), Virus-based gene therapy research (3 papers), Alzheimer's disease research and treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Genetics (99 citations), Neurology (42 citations), Developmental Neuroscience (17 citations), Radiology, Nuclear Medicine and Imaging (94 citations) and Biological Psychiatry (9 citations). Parisa Monfared has collaborated with scholars based in Germany, France and Norway. Frequent co-authors include Alexandra Winkeler, Andreas H. Jacobs, Thomas Viel, Yannic Waerzeggers, Mathias Hoehn, Markus Klein, Andreas H. Jacobs, Jürgen Voges, Bernd Neumaier and Lukas P. Frenzel. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, British Journal of Radiology, Molecular Therapy, Neoplasia and Journal of Nuclear Medicine.

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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