Ranu Pal

646 citations
23 papers · 547 · h-index 12

Impact in

Papers in

Ranu Pal

23 papers receiving 545 citations

Peers

Ranu Pal
Comparison fields: 5 of 81
  • Developmental Neuroscience 48
  • Cellular and Molecular Neuroscience 211
  • Neurology 80
  • Biochemistry 63
  • Biological Psychiatry 21
Replace Ylva Edling with:
Ylva Edling Sweden
Axel Preuss Switzerland
Sumiti Saharan India
Gregor Zündorf Germany
Renato Santiago Gomez Brazil
Zdena Krištofíková Czechia
Carol J. Watkins United States
Michela Giustizieri Italy
Laurence Had‐Aissouni France
Ranu Pal relative to Ylva Edling Sweden Ylva Edling's profile →
Citations per field
00.5×1.5×
Ylva Edling · 1×
Citations per year

Countries citing papers authored by Ranu Pal

Since Specialization
Citations

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

Fields of papers citing papers by Ranu Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200594
2 200971
3 200967
4 200766
5 200739
6 201033
7 201131
8 200326
9 201219
10 199416
11 201413
12 201413
13 199911
14 19939
15 20018
16 20087
17 20176
18 19985
19 20194
20 19833

About Ranu Pal

Ranu Pal is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Neurology and Developmental Neuroscience, having authored 23 papers that have together received 547 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Alzheimer's disease research and treatments (5 papers), Mitochondrial Function and Pathology (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Memory and Neural Mechanisms (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Chemical Synthesis and Analysis (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Developmental Neuroscience (48 citations), Cellular and Molecular Neuroscience (211 citations), Neurology (80 citations), Biochemistry (63 citations) and Biological Psychiatry (21 citations). Ranu Pal has collaborated with scholars based in United States, Netherlands and Saudi Arabia. Frequent co-authors include Elias K. Michaelis, Xinkun Wang, Keshava N. Kumar, Xiaodong Bao, Mary L. Michaelis, Derek B. Oien, Jackob Moskovitz, Nanteetip Limpeanchob, Xuewen Chen and Abdulbaki Aǵbaş. Their work appears in journals such as Brain Research, BMC Neuroscience, Free Radical Biology and Medicine, Frontiers in Aging Neuroscience and Plant Cell Reports.

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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