Deepti Lall

1.6k citations
9 papers · 899 · 1 hit paper · h-index 7

Impact in

  • Neurology top 2%
    • Amyotrophic Lateral Sclerosis Research
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research

Papers in

Deepti Lall

9 papers receiving 896 citations

Deepti Lall's Hit Papers

C9orf72 is required for proper macrophage and microglial function in mice 2016 · 410 citations
4100+3+6Years since publication100200300400

Peers

Deepti Lall
Comparison fields: 5 of 62
  • Neurology 513
  • Neurology 280
  • Genetics 246
  • Biological Psychiatry 26
  • Immunology 154
Replace Marisa S. Feiler with:
Marisa S. Feiler Germany
Terri L. Petkau Canada
Chris McKinnon United Kingdom
Francesco Limone United States
Fabiola Rojas Chile
Austin Hill Canada
Veselin Grozdanov Germany
Xu‐Gang Xia United States
Nathalie Verpoorten Belgium
Jennifer A. Fifita Australia
Deepti Lall relative to Marisa S. Feiler Germany Marisa S. Feiler's profile →
Citations per field
00.5×4.3×
Marisa S. Feiler · 1×
Citations per year

Countries citing papers authored by Deepti Lall

Since Specialization
Citations

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

Fields of papers citing papers by Deepti Lall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
C9orf72 is required for proper macrophage and microglial function in mice
Hit paper breakdown →
2016410
2 2020205
3 2017125
4 202191
5 201142
6 202210
7 20127
8 20235
9 20254

About Deepti Lall

Deepti Lall is a scholar working on Neurology, Neurology, Molecular Biology, Physiology and Immunology, having authored 9 papers that have together received 899 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Alzheimer's disease research and treatments (3 papers), interferon and immune responses (2 papers), Epilepsy research and treatment (1 paper), Neuroscience and Neural Engineering (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Neurology (513 citations), Neurology (280 citations), Genetics (246 citations), Biological Psychiatry (26 citations) and Immunology (154 citations). Deepti Lall has collaborated with scholars based in United States, Germany and Mexico. Frequent co-authors include Robert H. Baloh, Jacqueline G. O’Rourke, Shaughn Bell, A.K.M. Ghulam Muhammad, Ritchie Ho, Alberto Yáñez, Andrea J. Wolf, Jonah E. Zarrow, Helen S. Goodridge and Timothy M. Miller. Their work appears in journals such as Biochemical and Biophysical Research Communications, Nature, Neuron, Journal of Clinical Investigation and PLoS Pathogens.

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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