Nitika Sanger

47 papers receiving 684 citations

Peers

Nitika Sanger
Comparison fields: 5 of 99
  • Applied Psychology 61
  • Statistics, Probability and Uncertainty 79
  • Public Health, Environmental and Occupational Health 144
  • Pharmacology 79
  • Clinical Psychology 72
Replace Arpit Parmar with:
Arpit Parmar India
Frances B. Garfield United States
JoAnne W. Ray United States
Nadja Könsgen Germany
Birgit Teufer Austria
R McCarney United Kingdom
Beth Fordham United Kingdom
Charl Els Canada
Wendy M. Bjornson-Benson United States
Emily B. Jones United States
Nitika Sanger relative to Arpit Parmar India Arpit Parmar's profile →
Citations per field
00.5×2×4×6×8.8×
Arpit Parmar · 1×
Citations per year

Countries citing papers authored by Nitika Sanger

Since Specialization
Citations

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

Fields of papers citing papers by Nitika Sanger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020117
2 201885
3 201752
4 201831
5 201727
6 202027
7 201925
8 202024
9 202321
10 202118
11
Adverse Outcomes Associated with Prescription Opioids for Acute Low Back Pain: A Systematic Review and Meta-Analysis.
201916
12 202416
13 202015
14 202013
15 202012
16 202112
17 202112
18 202112
19 202011
20 202111

About Nitika Sanger

Nitika Sanger is a scholar working on Public Health, Environmental and Occupational Health, Pharmacology, Statistics, Probability and Uncertainty, Clinical Psychology and Applied Psychology, having authored 49 papers that have together received 698 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (11 papers), Cannabis and Cannabinoid Research (7 papers), Substance Abuse Treatment and Outcomes (5 papers), Suicide and Self-Harm Studies (3 papers), Meta-analysis and systematic reviews (3 papers), Delphi Technique in Research (2 papers), Digital Mental Health Interventions (2 papers) and Health Policy Implementation Science (2 papers). The work is most often cited by research in Applied Psychology (61 citations), Statistics, Probability and Uncertainty (79 citations), Public Health, Environmental and Occupational Health (144 citations), Pharmacology (79 citations) and Clinical Psychology (72 citations). Nitika Sanger has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Zainab Samaan, Lehana Thabane, Tea Rosic, David C. Marsh, Andrew Worster, Stephanie Sanger, Candice Luo, Meha Bhatt, Hamnah Shahid and Leen Naji. Their work appears in journals such as BMJ Open, Harm Reduction Journal, Biology of Sex Differences, Frontiers in Psychiatry and BJPsych Open.

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