Alex Ing

1.2k total citations
10 papers, 175 citations indexed

About

Alex Ing is a scholar working on Cognitive Neuroscience, Health, Toxicology and Mutagenesis and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Alex Ing has authored 10 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Health, Toxicology and Mutagenesis and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Alex Ing's work include Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Neural dynamics and brain function (2 papers). Alex Ing is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Neural dynamics and brain function (2 papers). Alex Ing collaborates with scholars based in United Kingdom, Germany and United States. Alex Ing's co-authors include Gaëlle E. Doucet, Sophia Frangou, Dominik A. Moser, Günter Schumann, Christian Schwarzbauer, Won Hee Lee, Alexander Rasgon, Evan Leibu, Natalie Rasgon and Danai Dima and has published in prestigious journals such as PLoS ONE, NeuroImage and Molecular Psychiatry.

In The Last Decade

Alex Ing

10 papers receiving 170 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Alex Ing United Kingdom	8	130	53	40	38	11	10	175
Charlotte Fraza United Kingdom	5	113 0.9×	40 0.8×	44 1.1×	33 0.9×	7 0.6×	13	182
M. Justin Kim United States	2	164 1.3×	49 0.9×	68 1.7×	21 0.6×	8 0.7×	2	195
Yankun Wu China	7	75 0.6×	48 0.9×	15 0.4×	28 0.7×	11 1.0×	16	127
Mehrshad Golesorkhi Canada	6	238 1.8×	32 0.6×	26 0.7×	17 0.4×	3 0.3×	6	266
Alex P. Miller United States	7	55 0.4×	15 0.3×	32 0.8×	45 1.2×	19 1.7×	21	190
Michael C. Riedel United States	7	124 1.0×	50 0.9×	26 0.7×	22 0.6×	11 1.0×	9	173
Shuraku Son Japan	8	108 0.8×	30 0.6×	51 1.3×	39 1.0×	9 0.8×	12	148
Sina Mansour L. Australia	9	194 1.5×	37 0.7×	103 2.6×	16 0.4×	12 1.1×	16	256
Jessica Dafflon United Kingdom	8	122 0.9×	26 0.5×	54 1.4×	29 0.8×	9 0.8×	10	216
Nicole Sanford Canada	9	139 1.1×	56 1.1×	27 0.7×	106 2.8×	5 0.5×	18	228

Countries citing papers authored by Alex Ing

Since Specialization

Citations

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

Fields of papers citing papers by Alex Ing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Ing

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

All Works

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10 of 10 papers shown

Ing, Alex, et al.. (2025). Integrating multimodal cancer data using deep latent variable path modelling. Nature Machine Intelligence. 7(7). 1053–1075. 1 indexed citations

Liu, Xiaoxuan, et al.. (2022). Nighttime lights, urban features, household poverty, depression, and obesity. Current Psychology. 42(18). 15453–15464. 9 indexed citations

Newbury, Joanne B., et al.. (2022). Role of polygenic and environmental factors in the co-occurrence of depression and psychosis symptoms: a network analysis. Translational Psychiatry. 12(1). 259–259. 10 indexed citations

Lee, Won Hee, Dominik A. Moser, Alex Ing, Gaëlle E. Doucet, & Sophia Frangou. (2018). Behavioral and Health Correlates of Resting-State Metastability in the Human Connectome Project. Brain Topography. 32(1). 80–86. 15 indexed citations

Moser, Dominik A., Gaëlle E. Doucet, Won Hee Lee, et al.. (2018). Multivariate Associations Among Behavioral, Clinical, and Multimodal Imaging Phenotypes in Patients With Psychosis. JAMA Psychiatry. 75(4). 386–386. 63 indexed citations

Moser, Dominik A., Gaëlle E. Doucet, Alex Ing, et al.. (2017). An integrated brain–behavior model for working memory. Molecular Psychiatry. 23(10). 1974–1980. 37 indexed citations

Ing, Alex & Christian Schwarzbauer. (2014). Cluster Size Statistic and Cluster Mass Statistic: Two Novel Methods for Identifying Changes in Functional Connectivity Between Groups or Conditions. PLoS ONE. 9(6). e98697–e98697. 9 indexed citations

Eichler, Michael, Alex Ing, Marco Thiel, et al.. (2013). The impact of latent confounders in directed network analysis in neuroscience. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 371(1997). 20110612–20110612. 18 indexed citations

Ing, Alex & Christian Schwarzbauer. (2012). A dual echo approach to motion correction for functional connectivity studies. NeuroImage. 63(3). 1487–1497. 10 indexed citations

10.

Chan, Hing Man & Alex Ing. (1998). A database for environmental contaminants in traditional food in northern Canada.. PubMed. 57 Suppl 1. 567–71. 3 indexed citations

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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