Sahil Loomba

2.0k citations
7 papers · 1.2k indexed · 1 hit paper · h-index 4
Topics
Vaccine Coverage and Hesitancy (3 papers)SARS-CoV-2 and COVID-19 Research (1 paper)Bacterial Identification and Susceptibility Testing (1 paper)

In The Last Decade

Sahil Loomba

6 papers receiving 1.2k citations

Hit Papers

Measuring the impact of COVID-19 vaccine misinformation o...202120262022202420212505007501000

Peers

Sahil Loomba
Comparison fields: 5 of 83
  • Health 774
  • Sociology and Political Science 763
  • Infectious Diseases 314
  • Artificial Intelligence 210
  • Modeling and Simulation 203
Replace Kristen de Graaf with:
Kristen de Graaf United Kingdom
Simon J. Piatek United Kingdom
Bao Sheng Loe United Kingdom
S. M. Murshid Hasan Bangladesh
Abu-Hena Mostofa Kamal Australia
Sazzad Hossain Khan Bangladesh
Tonmoy Sarkar Australia
Nicholas J. Restrepo United States
Nicolás Velásquez United States
Jeanette B. Ruiz United States
Sahil Loomba relative to Kristen de Graaf United Kingdom Kristen de Graaf's profile →
Citations per field
00.5×1.5×
Kristen de Graaf · 1×
Citations per year

Countries citing papers authored by Sahil Loomba

Since Specialization
Citations

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

Fields of papers citing papers by Sahil Loomba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahil Loomba

This figure shows the co-authorship network connecting the top 25 collaborators of Sahil Loomba. A scholar is included among the top collaborators of Sahil Loomba 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 Sahil Loomba. Sahil Loomba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 27
3 3
4 36
5 7
6
Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USAbreakdown →
1102
7 3

About Sahil Loomba

Sahil Loomba is a scholar working on Health, General Social Sciences and Clinical Biochemistry, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (3 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). The work is most often cited by research in Health (774 citations), Modeling and Simulation (203 citations) and Sociology and Political Science (763 citations). Sahil Loomba has collaborated with scholars based in United Kingdom, United States and Uganda. Frequent co-authors include Heidi J. Larson, Simon J. Piatek, Alexandre de Figueiredo, Kristen de Graaf, Rakoen Maertens, Sander van der Linden, Friedrich M. Götz, Om Deshmukh, Arijit Biswas and Takako Takeda. Their work appears in journals such as PLoS ONE, Psychological Methods and Nature Human Behaviour.

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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