Sahil Loomba

2.0k total citations · 1 hit paper
7 papers, 1.2k citations indexed

About

Sahil Loomba is a scholar working on Health, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Sahil Loomba has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health, 2 papers in Artificial Intelligence and 1 paper in Infectious Diseases. Recurrent topics in Sahil Loomba's 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). Sahil Loomba is often cited by papers focused on Vaccine Coverage and Hesitancy (3 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). Sahil Loomba collaborates with scholars based in United Kingdom, United States and Uganda. Sahil Loomba's 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 and has published in prestigious journals such as PLoS ONE, Psychological Methods and Nature Human Behaviour.

In The Last Decade

Sahil Loomba

6 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA

2021 1.1k citations Sahil Loomba, Alexandre de Figueiredo et al. Nature Human Behaviour profile →

Peers

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

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7 of 7 papers shown

#	Work	Indexed citations
1	AI-enabled drug prediction and gene network analysis reveal therapeutic use of vorinostat for Rett Syndrome in preclinical models 2025 ·Communications Medicine ·Richard Novák, (unknown), (unknown), (unknown), (unknown), (unknown), Sahil Loomba, (unknown), (unknown), (unknown), Anish Vasan, (unknown), Takako Takeda, (unknown), (unknown), Jerrold R. Turner, Michael Levin, Donald E. Ingber	0
2	Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development. 2023 ·Psychological Methods ·Friedrich M. Götz, Rakoen Maertens, Sahil Loomba, Sander van der Linden	27
3	FcMBL magnetic bead-based MALDI-TOF MS rapidly identifies paediatric blood stream infections from positive blood cultures 2022 ·PLoS ONE ·(unknown), Sahil Loomba, Thomas J. Elliott, (unknown), (unknown), Thomas J. Doyle, (unknown), Dagmar Alber, (unknown), Michael T. McCurdy, James Hill, Michael Super, Donald E. Ingber, Nigel Klein, Elaine Cloutman-Green	3
4	Author Correction: Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA 2021 ·Nature Human Behaviour ·Sahil Loomba, Alexandre de Figueiredo, Simon J. Piatek, Kristen de Graaf, Heidi J. Larson	36
5	Author Correction: Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA 2021 ·Nature Human Behaviour ·Sahil Loomba, Alexandre de Figueiredo, Simon J. Piatek, Kristen de Graaf, Heidi J. Larson	7
6	Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA breakdown → 2021 ·Nature Human Behaviour ·Sahil Loomba, Alexandre de Figueiredo, Simon J. Piatek, Kristen de Graaf, Heidi J. Larson	1102
7	Easy Navigation through Instructional Videos using Automatically Generated Table of Content 2016 ·(unknown), Arijit Biswas, (unknown), (unknown), Sahil Loomba, Om Deshmukh	3

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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