Alexander W. Charney

24.7k total citations · 3 hit papers
68 papers, 2.0k citations indexed

About

Alexander W. Charney is a scholar working on Artificial Intelligence, Molecular Biology and Health Informatics. According to data from OpenAlex, Alexander W. Charney has authored 68 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Molecular Biology and 10 papers in Health Informatics. Recurrent topics in Alexander W. Charney's work include Machine Learning in Healthcare (12 papers), Artificial Intelligence in Healthcare and Education (10 papers) and COVID-19 Clinical Research Studies (8 papers). Alexander W. Charney is often cited by papers focused on Machine Learning in Healthcare (12 papers), Artificial Intelligence in Healthcare and Education (10 papers) and COVID-19 Clinical Research Studies (8 papers). Alexander W. Charney collaborates with scholars based in United States, Israel and Germany. Alexander W. Charney's co-authors include Girish N. Nadkarni, Benjamin S. Glicksberg, Matthew A. Levin, Jagat Narula, Zahi A. Fayad, Shan Zhao, Anuradha Lala, Valentı́n Fuster, Adam Russak and Ishan Paranjpe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Medicine.

In The Last Decade

Alexander W. Charney

59 papers receiving 2.0k 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.

Association of Treatment Dose Anticoagulation With In-Hospital Survival Among Hospitalized Patients With COVID-19

2020 622 citations Benjamin S. Glicksberg, Matthew A. Levin et al. profile →
Social connectedness as a determinant of mental health: A scoping review

2022 137 citations Priya Wickramaratne, Tenzin Yangchen et al. PLoS ONE profile →
Sociodemographic biases in medical decision making by large language models

2025 27 citations Mahmud Omar, Nicola Luigi Bragazzi et al. profile →

Peers

Countries citing papers authored by Alexander W. Charney

Since Specialization

Citations

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

Fields of papers citing papers by Alexander W. Charney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander W. Charney. 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 Alexander W. Charney. The network helps show where Alexander W. Charney may publish in the future.

Co-authorship network of co-authors of Alexander W. Charney

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Safety of Prefrontal Cortex Biopsies During Deep Brain Stimulation Procedures 2025 ·Neurosurgery ·(unknown), Nicole W. Simons, (unknown), Richard H. Epstein, P. Zuccaro, (unknown), (unknown), K.W. Ng, (unknown), (unknown), Henry C. Rogers, (unknown), (unknown), Kate E. Keller, (unknown), Girish N. Nadkarni, Alexander W. Charney, Brian H. Kopell	0
2	Assessing Retrieval-Augmented Large Language Models for Medical Coding 2025 ·NEJM AI ·Eyal Klang, (unknown), (unknown), (unknown), Benjamin S. Glicksberg, (unknown), (unknown), Ankit Sakhuja, Ali Soroush, Alexander W. Charney, David L. Reich, Jolion McGreevy, Nicholas Gavin, Brendan G. Carr, Robert Freeman, Girish N. Nadkarni	0
3	Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support 2025 ·Communications Medicine ·Mahmud Omar, Vera Sorin, Jeremy D. Collins, David Reich, Robert Freeman, Nicholas Gavin, Alexander W. Charney, (unknown), Nicola Luigi Bragazzi, Girish N. Nadkarni, Eyal Klang	6
4	InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records 2025 ·Nature Communications ·(unknown), Emma Holmes, Akhil Vaid, Alexander W. Charney, Patricia Kovatch, Joshua Lampert, Ankit Sakhuja, Marinka Žitnik, Benjamin S. Glicksberg, Ira Hofer, Girish N. Nadkarni	0
5	Correction: Social connectedness as a determinant of mental health: A scoping review 2024 ·PLoS ONE ·Priya Wickramaratne, Tenzin Yangchen, Lauren Lepow, Braja Gopal Patra, Benjamin S. Glicksberg, Ardesheer Talati, Prakash Adekkanattu, Euijung Ryu, Joanna M. Biernacka, Alexander W. Charney, J. John Mann, Jyotishman Pathak, Mark Olfson, Myrna M. Weissman	1
6	Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension 2024 ·npj Digital Medicine ·(unknown), Pushkala Jayaraman, (unknown), (unknown), (unknown), (unknown), Brian Y. Soong, (unknown), Alexandra S. Reynolds, Son Q. Duong, Akhil Vaid, Patricia Kovatch, Robert Freeman, Ira Hofer, Ankit Sakhuja, Neha Dangayach, (unknown), Alexander W. Charney, Girish N. Nadkarni	5
7	Evaluation of imputation performance of multiple reference panels in a Pakistani population 2024 ·Human Genetics and Genomics Advances ·Jiayi Xu, Dongjing Liu, (unknown), Giulio Genovese, (unknown), (unknown), Esther Cheng, Alexander W. Charney, James A. Knowles, Muhammad Ayub, Roseann E. Peterson, Tim B. Bigdeli, Laura M. Huckins	0
8	Intravenous administration of blood–brain barrier-crossing conjugates facilitate biomacromolecule transport into central nervous system 2024 ·Nature Biotechnology ·Chang Wang, Siyu Wang, Yonger Xue, (unknown), Haoyuan Li, Xucheng Hou, Diana D. Kang, Zhengwei Liu, Meng Tian, Leiming Wang, Dinglingge Cao, Yang Yu, (unknown), Xiaolin Cheng, Tamara Markovic, (unknown), Brian H. Kopell, Alexander W. Charney, Eric J. Nestler, Yizhou Dong	16
9	Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model 2024 ·Journal of the American Medical Informatics Association ·Braja Gopal Patra, Lauren Lepow, (unknown), (unknown), Mohit Sharma, Prakash Adekkanattu, (unknown), (unknown), Isotta Landi, (unknown), Euijung Ryu, Joanna M. Biernacka, Girish N. Nadkarni, Ardesheer Talati, Myrna M. Weissman, Mark Olfson, J. John Mann, Yiye Zhang, Alexander W. Charney, Jyotishman Pathak	6
10	Large Language Models and Empathy: Systematic Review 2024 ·Journal of Medical Internet Research ·Vera Sorin, Dana Brin, Yiftach Barash, Eli Konen, Alexander W. Charney, Girish N. Nadkarni, Eyal Klang	48
11	A foundational vision transformer improves diagnostic performance for electrocardiograms 2023 ·npj Digital Medicine ·Akhil Vaid, Joy Jiang, (unknown), Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander W. Charney, Hayit Greenspan, Jagat Narula, Benjamin S. Glicksberg, Girish N. Nadkarni	58
12	Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings 2023 ·Annals of Internal Medicine ·Akhil Vaid, (unknown), Mayte Suárez‐Fariñas, (unknown), Sanjeev Kaul, Patricia Kovatch, Robert Freeman, Joy Jiang, Pushkala Jayaraman, Zahi A. Fayad, Edgar Argulian, Stamatios Lerakis, Alexander W. Charney, Fei Wang, Matthew A. Levin, Benjamin S. Glicksberg, Jagat Narula, Ira Hofer, Karandeep Singh, Girish N. Nadkarni	23
13	Large Language Models and Empathy: Systematic Review (Preprint) 2023 ·Vera Sorin, Dana Brin, Yiftach Barash, Eli Konen, Alexander W. Charney, Girish N. Nadkarni, Eyal Klang	2
14	Quantitative Prediction of Right Ventricular Size and Function From the ECG 2023 ·Journal of the American Heart Association ·Son Q. Duong, Akhil Vaid, Ha My T. Vy, (unknown), Joshua Lampert, Robert H. Pass, Alexander W. Charney, Jagat Narula, Rohan Khera, Ankit Sakhuja, Hayit Greenspan, Bruce D. Gelb, Ron Do, Girish N. Nadkarni	8
15	FLAIRR-Seq: A Method for Single-Molecule Resolution of Near Full-Length Antibody H Chain Repertoires 2023 ·The Journal of Immunology ·(unknown), David Tieri, Oscar L. Rodriguez, Nancy Francoeur, Juan Soto, Justin T. Kos, Ayelet Peres, William S. Gibson, (unknown), Gintaras Deikus, Elizabeth Hudson, (unknown), Noam D. Beckmann, Alexander W. Charney, Thomas C. Mitchell, Gur Yaari, Robert Sebra, Corey T. Watson, Melissa Smith	15
16	Genetics of the human microglia regulome refines Alzheimer’s disease risk loci 2022 ·Nature Genetics ·Roman Kosoy, John F. Fullard, Biao Zeng, Jaroslav Bendl, Pengfei Dong, Samir Rahman, Steven P. Kleopoulos, Zhiping Shao, Kiran Girdhar, Jack Humphrey, Kátia de Paiva Lopes, Alexander W. Charney, Brian H. Kopell, Towfique Raj, David A. Bennett, Christopher P. Kellner, Vahram Haroutunian, Gabriel E. Hoffman, Panos Roussos	61
17	Mapping anorexia nervosa genes to clinical phenotypes 2022 ·Psychological Medicine ·Jessica Johnson, (unknown), Amanda Dobbyn, Laura Sloofman, Jiayi Xu, (unknown), Alexander W. Charney, Andreas Birgegård, Jennifer Jordan, Martin A. Kennedy, Mikael Landén, Sarah Maguire, Nicholas G. Martin, Preben Bo Mortensen, Laura M. Thornton, Cynthia M. Bulik, Laura M. Huckins	13
18	Targeting the coronavirus nucleocapsid protein through GSK-3 inhibition 2021 ·Proceedings of the National Academy of Sciences ·(unknown), Anurag Verma, Gustavo Garcia, Holly Ramage, Anastasia Lucas, (unknown), Jacob J. Michaelson, William Coryell, Arvind Kumar, Alexander W. Charney, Marcelo G. Kazanietz, Daniel J. Rader, Marylyn D. Ritchie, Wade H. Berrettini, D. Schultz, Sara Cherry, Robert Damoiseaux, Vaithilingaraja Arumugaswami, Peter S. Klein	59
19	Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study 2021 ·PLoS ONE ·Ishan Paranjpe, Kumardeep Chaudhary, Kipp W. Johnson, Suraj K. Jaladanki, Shan Zhao, Jessica K. De Freitas, (unknown), Fayzan Chaudhry, Erwin P. Böttinger, Matthew A. Levin, Zahi A. Fayad, Alexander W. Charney, Jane Houldsworth, Carlos Cordon‐Cardo, Benjamin S. Glicksberg, Girish N. Nadkarni	6
20	Polygenic overlap between schizophrenia risk and antipsychotic response: a genomic medicine approach 2016 ·The Lancet Psychiatry ·Douglas M. Ruderfer, Alexander W. Charney, Ben Readhead, Brian Kidd, Anna K. Kähler, Paul J. Kenny, Michael J. Keiser, Jennifer L. Moran, Christina M. Hultman, Stuart A. Scott, Patrick F. Sullivan, Shaun Purcell, Joel T. Dudley, Pamela Sklar	90

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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