Kushal Kumar

531 citations
12 papers · 456 · h-index 10

Impact in

Papers in

Kushal Kumar

12 papers receiving 446 citations

Peers

Kushal Kumar
Comparison fields: 5 of 76
  • Cellular and Molecular Neuroscience 72
  • Complementary and alternative medicine 40
  • Neurology 31
  • Physiology 100
  • Drug Discovery 1
Replace Liliana Carmona‐Aparicio with:
Liliana Carmona‐Aparicio Mexico
Baiba Jansone Latvia
Aina Bellver‐Sanchís Spain
Bruno Dutra Arbo Brazil
Tawfeeq Shekh‐Ahmad Israel
Sònia Abad Spain
Maryam Noorbakhshnia Iran
Victoria García‐Morales Spain
Ahmad Tarmizi Che Has Malaysia
Kushal Kumar relative to Liliana Carmona‐Aparicio Mexico Liliana Carmona‐Aparicio's profile →
Citations per field
00.5×1.5×
Liliana Carmona‐Aparicio · 1×
Citations per year

Countries citing papers authored by Kushal Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Kushal Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Kushal Kumar, 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 Kushal Kumar Line = papers co-authored together Kushal Kumar links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2017128
2 2013108
3 201342
4 201642
5 201939
6 201328
7 201319
8 201616
9 201715
10 201712
11 20156
12
Role of hippocampal GABAergic interneurons in learning and memory
20181

About Kushal Kumar

Kushal Kumar is a scholar working on Cellular and Molecular Neuroscience, Neurology, Complementary and alternative medicine, Physiology and Pharmacology, having authored 12 papers that have together received 456 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurological Disease Mechanisms and Treatments (2 papers), Phosphodiesterase function and regulation (2 papers), Memory and Neural Mechanisms (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Cardiac Ischemia and Reperfusion (1 paper) and Medicinal Plants and Neuroprotection (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (72 citations), Complementary and alternative medicine (40 citations), Neurology (31 citations), Physiology (100 citations) and Drug Discovery (1 citation). Kushal Kumar has collaborated with scholars based in India and United States. Frequent co-authors include Rahul R Deshmukh, Sorabh Sharma, Puneet Kumar, Pyare Lal Sharma, Sunil Kumar Hota, Kalpana Kumari Barhwal, Tapas Chandra Nag, Bhuvnesh Kumar, Ankur Sharma and Kalpesh Vaghasiya. Their work appears in journals such as European Journal of Pharmacology, Behavioural Pharmacology, ACS Biomaterials Science & Engineering, Neuroscience and Journal of Ethnopharmacology.

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