Anika Sood

514 citations
17 papers · 372 · h-index 12

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

    • Sphingolipid Metabolism and Signaling 4
    • Inflammasome and immune disorders 3
    • Epigenetics and DNA Methylation 2
    • Neuroinflammation and Neurodegeneration Mechanisms 9

Anika Sood

17 papers receiving 371 citations

Peers

Anika Sood
Comparison fields: 5 of 68
  • Neurology 102
  • Biological Psychiatry 24
  • Developmental Neuroscience 21
  • Physiology 21
  • Neurology 62
Replace Irene García-Domínguez with:
Irene García-Domínguez Spain
Rocío M. de Pablos Spain
Mahshad Kolahdouzan Canada
Stella C. Junqueira Brazil
Xi Gao United States
Xiaolan Rao United States
Chi Zhao-fu China
Qiu-Shuang Zhang China
Miguel Angel Abellanas Spain
Ya-Ni Huang Taiwan
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Citations per field
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Irene García-Domínguez · 1×
Citations per year

Countries citing papers authored by Anika Sood

Since Specialization
Citations

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

Fields of papers citing papers by Anika Sood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Anika Sood, 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 Anika Sood Line = papers co-authored together Anika Sood links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201863
2 202053
3 202142
4 202241
5 202140
6 202324
7 202222
8 202318
9 202113
10 202412
11 202311
12 202211
13 202310
14 20237
15 20223
16 20231
17 20211

About Anika Sood

Anika Sood is a scholar working on Molecular Biology, Neurology, Immunology, Epidemiology and Physiology, having authored 17 papers that have together received 372 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Immune cells in cancer (5 papers), Sphingolipid Metabolism and Signaling (4 papers), Inflammasome and immune disorders (3 papers), Autophagy in Disease and Therapy (3 papers), Epigenetics and DNA Methylation (2 papers), interferon and immune responses (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Neurology (102 citations), Biological Psychiatry (24 citations), Developmental Neuroscience (21 citations), Physiology (21 citations) and Neurology (62 citations). Anika Sood has collaborated with scholars based in India. Frequent co-authors include Dharmendra Kumar Khatri, Shashi Bala Singh, Valencia Fernandes, Preeti Kumari, Kashif Hanif, Rakesh Shukla, Shahnawaz Ali Bhat, Kamatham Pushpa Tryphena, Saurabh Srivastava and Sabiya Samim Khan. Their work appears in journals such as Molecular Neurobiology, Molecular Biology Reports, Cellular and Molecular Neurobiology, Behavioural Brain Research and International Immunopharmacology.

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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