Sonali Kaushik

456 total citations
16 papers, 165 citations indexed

About

Sonali Kaushik is a scholar working on Surgery, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Sonali Kaushik has authored 16 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Epidemiology and 4 papers in Modeling and Simulation. Recurrent topics in Sonali Kaushik's work include Fractional Differential Equations Solutions (3 papers), Cervical Cancer and HPV Research (3 papers) and Genital Health and Disease (3 papers). Sonali Kaushik is often cited by papers focused on Fractional Differential Equations Solutions (3 papers), Cervical Cancer and HPV Research (3 papers) and Genital Health and Disease (3 papers). Sonali Kaushik collaborates with scholars based in United Kingdom, India and Australia. Sonali Kaushik's co-authors include Andy Nordin, Theresa A Lawrie, Litha Pepas, Andrew Bryant, Heather O Dickinson, P. Sinha, Saddam Hussain, S Katariya, R. K. Marwaha and B. N. S. Walia and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Gynecologic Oncology and Journal of Pediatric Surgery.

In The Last Decade

Sonali Kaushik

13 papers receiving 161 citations

Peers

Sonali Kaushik
Comparison fields: 5 of 51
  • Epidemiology 88
  • Surgery 77
  • Obstetrics and Gynecology 33
  • Dermatology 27
  • Oncology 21
Replace G. Akerman with:
G. Akerman France
Björn Lampe Germany
Santiago Scasso Uruguay
Melissa Bradbury Spain
Vincenzo Scotto di Palumbo Italy
M K Roy United Kingdom
Dirk Michael Forner Germany
Eduardo Torres Alonso Mexico
Andrea Hafner Germany
Camille Mimoun France
G. Akerman France View profile →
Citations per field, relative to Sonali Kaushik
Sonali Kaushik · 1×
Citations per year, relative to Sonali Kaushik
Sonali Kaushik · 1×

Countries citing papers authored by Sonali Kaushik

Since Specialization
Citations

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

Fields of papers citing papers by Sonali Kaushik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonali Kaushik

This figure shows the co-authorship network connecting the top 25 collaborators of Sonali Kaushik. A scholar is included among the top collaborators of Sonali Kaushik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sonali Kaushik. Sonali Kaushik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 4
2 9
3 0
4 12
5 3
6 14
7 1
8 37
9 0
10 14
11 36
12 0
13 4
14 9
15 10
16 12

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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2026