Anthony Khairallah

928 total citations
2 papers, 43 citations indexed

About

Anthony Khairallah is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Anthony Khairallah has authored 2 papers receiving a total of 43 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Neurology and 1 paper in Physiology. Recurrent topics in Anthony Khairallah's work include Machine Learning in Bioinformatics (1 paper), Alzheimer's disease research and treatments (1 paper) and Single-cell and spatial transcriptomics (1 paper). Anthony Khairallah is often cited by papers focused on Machine Learning in Bioinformatics (1 paper), Alzheimer's disease research and treatments (1 paper) and Single-cell and spatial transcriptomics (1 paper). Anthony Khairallah collaborates with scholars based in United States and Slovakia. Anthony Khairallah's co-authors include Richard M. Ransohoff, Sarah M. Connor, Galina Marsh, Marta Olah, Julie A. Schneider, Christina Yung, Kyle W. Karhohs, Elizabeth M. Bradshaw, Philip L. De Jager and Mariko Taga and has published in prestigious journals such as Alzheimer s & Dementia and Molecular Neurodegeneration.

In The Last Decade

Anthony Khairallah

2 papers receiving 43 citations

Peers

Countries citing papers authored by Anthony Khairallah

Since Specialization

Citations

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

Fields of papers citing papers by Anthony Khairallah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Khairallah

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

All Works

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2 of 2 papers shown

#	Work	Indexed citations
1	BIN1 protein isoforms are differentially expressed in astrocytes, neurons, and microglia: neuronal and astrocyte BIN1 are implicated in tau pathology 2020 ·Molecular Neurodegeneration ·Mariko Taga, Vladislav Petyuk, Charles C. White, Galina Marsh, Yiyi Ma, Hans‐Ulrich Klein, Sarah M. Connor, Alexandra Kroshilina, Christina Yung, Anthony Khairallah, Marta Olah, Julie A. Schneider, Kyle W. Karhohs, Anne E. Carpenter, Richard M. Ransohoff, David A. Bennett, Andrea Crotti, Elizabeth M. Bradshaw, Philip L. De Jager	35
2	Single cell RNA sequencing of human microglia uncovers a subset that is associated with Alzheimer’s disease 2020 ·Alzheimer s & Dementia ·Marta Olah, Vilas Menon, Naomi Habib, Mariko Taga, Yiyi Ma, Anthony Khairallah, Christina Yung, Guillermo Coronas‐Samano, Jean Paul Vonsattel, Andrew F. Teich, Julie A. Schneider, David A. Bennett, Aviv Regev, Philip L. De Jager	8

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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