Jai Broome

5.9k total citations
4 papers, 40 citations indexed

About

Jai Broome is a scholar working on Genetics, General Health Professions and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jai Broome has authored 4 papers receiving a total of 40 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 1 paper in General Health Professions and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Jai Broome's work include Genetic Associations and Epidemiology (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and MRI in cancer diagnosis (1 paper). Jai Broome is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and MRI in cancer diagnosis (1 paper). Jai Broome collaborates with scholars based in United States and China. Jai Broome's co-authors include Derek Stafford, Holly B. Shakya, Emma Iriarte, Jennifer C. Nelson, Denise Hughes, Thomas Keegan, James H. Fowler, Nicholas A. Christakis, Rennie Negron and Yingxi Yang and has published in prestigious journals such as BMJ Open, Briefings in Bioinformatics and Alzheimer s & Dementia.

In The Last Decade

Jai Broome

3 papers receiving 40 citations

Peers

Countries citing papers authored by Jai Broome

Since Specialization

Citations

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

Fields of papers citing papers by Jai Broome

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jai Broome

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

All Works

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4 of 4 papers shown

#	Work	Indexed citations
1	Multi‐ancestry meta‐analysis identifies genetic modifiers of age‐at‐onset of Alzheimer's disease at known and novel loci 2025 ·Alzheimer s & Dementia ·Elizabeth Blue, Jai Broome, (unknown), (unknown), Nicola H. Chapman, Stephanie M. Gogarten, Adam C. Naj, Ellen M. Wijsman	0
2	eSCAN: scan regulatory regions for aggregate association testing using whole-genome sequencing data 2021 ·Briefings in Bioinformatics ·Yingxi Yang, (unknown), Quan Sun, Le Huang, Jai Broome, Adolfo Correa, Alexander P. Reiner, Laura M. Raffield, Yuchen Yang, Yun Li	5
3	Exploiting social influence to magnify population-level behaviour change in maternal and child health: study protocol for a randomised controlled trial of network targeting algorithms in rural Honduras 2017 ·BMJ Open ·Holly B. Shakya, Derek Stafford, Denise Hughes, Thomas Keegan, Rennie Negron, Jai Broome, (unknown), (unknown), Jennifer C. Nelson, Emma Iriarte, (unknown), (unknown), James H. Fowler, Nicholas A. Christakis	34
4	Myo-inositol level and cerebral glioma grade;value of routine short te single voxel proton MRS – 2 minuteswell spent? 2008 ·Thomas J. Smith, (unknown), (unknown), Philipp Warnke, Jai Broome	1

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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