Nihit Kumar

9 papers receiving 401 citations

Nihit Kumar's Hit Papers

Clinical trials of N-acetylcysteine in psychiatry and neurology: A systematic review 2015 · 369 citations
3690+3+7Years since publication100200300

Peers

Nihit Kumar
Comparison fields: 5 of 87
  • Biological Psychiatry 78
  • Behavioral Neuroscience 20
  • Psychiatry and Mental health 63
  • Biochemistry 32
  • Cellular and Molecular Neuroscience 70
Replace Daniela Vicente Bavaresco with:
Daniela Vicente Bavaresco Brazil
Graziela Amboni Brazil
Concepción Vaquero‐Lorenzo Spain
Kazuto Oya Japan
Huimei An China
Kirk Nylen Canada
Patrycja Pańczyszyn-Trzewik Poland
Zifeng Wu China
Brusov Os Russia
Mathieu Di Miceli United Kingdom
Nihit Kumar relative to Daniela Vicente Bavaresco Brazil Daniela Vicente Bavaresco's profile →
Citations per field
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Daniela Vicente Bavaresco · 1×
Citations per year

Countries citing papers authored by Nihit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Nihit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Clinical trials of N-acetylcysteine in psychiatry and neurology: A systematic review
Hit paper breakdown →
2015369
2 201623
3 20199
4 20223
5 20202
6 20231
7 20201
8 20231
9 20221
10 20230

About Nihit Kumar

Nihit Kumar is a scholar working on Public Health, Environmental and Occupational Health, Complementary and alternative medicine, Genetics, Psychiatry and Mental health and Molecular Biology, having authored 10 papers that have together received 410 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (2 papers), Complementary and Alternative Medicine Studies (2 papers), Genomics and Rare Diseases (1 paper), Digestive system and related health (1 paper), Acupuncture Treatment Research Studies (1 paper), Mobile Health and mHealth Applications (1 paper), Child Nutrition and Feeding Issues (1 paper) and Digital Mental Health Interventions (1 paper). The work is most often cited by research in Biological Psychiatry (78 citations), Behavioral Neuroscience (20 citations), Psychiatry and Mental health (63 citations), Biochemistry (32 citations) and Cellular and Molecular Neuroscience (70 citations). Nihit Kumar has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Leanna Delhey, Michael Berk, C Spielholz, Deepmala Deepmala, Richard E. Frye, Olivia Dean, John M. Slattery, Xiaotong Han, Zachary N. Stowe and Michael J. Mancino. Their work appears in journals such as American Journal on Addictions, Human Mutation, Neuroscience & Biobehavioral Reviews, Games for Health Journal and Developmental Medicine & Child Neurology.

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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