Pranav Preman

559 total citations · 1 hit paper
7 papers, 222 citations indexed

About

Pranav Preman is a scholar working on Neurology, Physiology and Small Animals. According to data from OpenAlex, Pranav Preman has authored 7 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 5 papers in Physiology and 1 paper in Small Animals. Recurrent topics in Pranav Preman's work include Alzheimer's disease research and treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Inflammation biomarkers and pathways (1 paper). Pranav Preman is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Inflammation biomarkers and pathways (1 paper). Pranav Preman collaborates with scholars based in Belgium, United Kingdom and Spain. Pranav Preman's co-authors include Amaia M. Arranz, Elena Alberdi, Alexei Verkhratsky, Bart De Strooper, An Snellinx, Nikky Corthout, Sara Calafate, Lutgarde Serneels, Sebastian Munck and Renzo Mancuso and has published in prestigious journals such as Nature Neuroscience, Cell Reports and Cells.

In The Last Decade

Pranav Preman

7 papers receiving 219 citations

Hit Papers

Xenografted human microglia display diverse transcriptomi... 2024 2026 2025 2024 10 20 30 40 50

Peers

Pranav Preman
Comparison fields: 5 of 52
  • Neurology 127
  • Physiology 107
  • Molecular Biology 77
  • Cellular and Molecular Neuroscience 49
  • Biological Psychiatry 36
Replace Rabia R. Khawaja with:
Rabia R. Khawaja United States
Carmen Romero‐Molina Spain
Dylan Garceau United States
Hyeon-Gu Yeo South Korea
Thomas Childs United Kingdom
Gerard Crowley United Kingdom
Jessica Blumenfeld United States
Jiwoon Lim South Korea
Dimitra Sokolova United Kingdom
Allison Sowa United States
Rabia R. Khawaja United States View profile →
Citations per field, relative to Pranav Preman
Pranav Preman · 1×
Citations per year, relative to Pranav Preman
Pranav Preman · 1×

Countries citing papers authored by Pranav Preman

Since Specialization
Citations

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

Fields of papers citing papers by Pranav Preman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranav Preman

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 7
2 8
3
Xenografted human microglia display diverse transcriptomic states in response to Alzheimer’s disease-related amyloid-β pathology breakdown →
55
4 1
5 44
6 103
7 4

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

Rankless by CCL
2026