Adam Resnick

14.3k total citations
112 papers, 3.3k citations indexed

About

Adam Resnick is a scholar working on Genetics, Molecular Biology and Neurology. According to data from OpenAlex, Adam Resnick has authored 112 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Genetics, 41 papers in Molecular Biology and 18 papers in Neurology. Recurrent topics in Adam Resnick's work include Glioma Diagnosis and Treatment (43 papers), Neuroblastoma Research and Treatments (15 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). Adam Resnick is often cited by papers focused on Glioma Diagnosis and Treatment (43 papers), Neuroblastoma Research and Treatments (15 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). Adam Resnick collaborates with scholars based in United States, Canada and Germany. Adam Resnick's co-authors include Solomon H. Snyder, Adolfo Saiardi, Phillip B. Storm, Adele M. Snowman, Rashna Bhandari, Angela J. Sievert, Krishna R. Juluri, Jaclyn A. Biegel, Mariarita Santi and Namrata Choudhari and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Adam Resnick

103 papers receiving 3.2k citations

Peers

Countries citing papers authored by Adam Resnick

Since Specialization

Citations

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

Fields of papers citing papers by Adam Resnick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Resnick

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Resnick. A scholar is included among the top collaborators of Adam Resnick 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 Adam Resnick. Adam Resnick 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	Transient mRNA CAR T cells targeting GD2 provide dose-adjusted efficacy against diffuse midline glioma and high-grade glioma models 2025 ·Neuro-Oncology ·Jessica Foster, Peter J. Madsen, (unknown), (unknown), (unknown), (unknown), Nikhil Joshi, (unknown), (unknown), (unknown), (unknown), (unknown), Valérie Baubet, (unknown), Nicholas A. Vitanza, Javad Nazarian, Mateusz Koptyra, Phillip B. Storm, Adam Resnick	1
2	AutoGVP: a dockerized workflow integrating ClinVar and InterVar germline sequence variant classification 2024 ·Bioinformatics ·Jung Kim, Ammar S. Naqvi, (unknown), Rebecca Kaufman, Zalman Vaksman, Miguel Brown, Daniel P. Miller, (unknown), (unknown), Phillip B. Storm, Adam Resnick, Douglas R. Stewart, Jo Lynne Rokita, Sharon J. Diskin	4
3	Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors 2024 ·American Journal of Neuroradiology ·Arastoo Vossough, Nastaran Khalili, Ariana Familiar, (unknown), (unknown), (unknown), Debanjan Haldar, Sina Bagheri, Hannah Anderson, (unknown), Phillip B. Storm, Adam Resnick, Jeffrey B. Ware, Ali Nabavizadeh, Anahita Fathi Kazerooni	11
4	METB-12. GIFT FROM A CHILD POSTMORTEM SPECIMEN DATASET EXTENSION OF THE PEDIATRIC BRAIN TUMOR ATLAS EMPOWERS PEDIATRIC BRAIN TUMOR RESEARCH 2024 ·Neuro-Oncology ·Mateusz Koptyra, (unknown), Jo Lynne Rokita, (unknown), (unknown), (unknown), Adam Kraya, Valérie Baubet, (unknown), Catherine Sullivan, (unknown), (unknown), Jena Lilly, Mariarita Santi, Angela N. Viaene, Phillip B. Storm, Adam Resnick, (unknown)	0
5	LGG-05. IMAGING-BASED DEEP LEARNING FOR EVENT-FREE SURVIVAL PREDICTION IN PATIENTS WITH PEDIATRIC LOW-GRADE GLIOMA 2023 ·Neuro-Oncology ·(unknown), (unknown), Zezhong Ye, Sridhar Vajapeyam, (unknown), (unknown), Kevin X. Liu, Hugo J.W.L. Aerts, Pratiti Bandopadhayay, Daphne A. Haas‐Kogan, (unknown), Adam Resnick, Sabine Mueller, Tina Young Poussaint, Tabitha Cooney, Benjamin H. Kann	1
6	Radio-pathomic approaches in pediatric neuro-oncology: Opportunities and challenges 2023 ·Neuro-Oncology Advances ·Ariana Familiar, Aria Mahtabfar, Anahita Fathi Kazerooni, (unknown), Arastoo Vossough, Angela N. Viaene, Phillip B. Storm, Adam Resnick, Ali Nabavizadeh	5
7	Development of GPC2-directed chimeric antigen receptors using mRNA for pediatric brain tumors 2022 ·Journal for ImmunoTherapy of Cancer ·Jessica Foster, (unknown), Jo Lynne Rokita, (unknown), (unknown), Komal S. Rathi, Maria Lane, (unknown), Tiffany Smith, Peter J. Madsen, Daniel Martínez, Alberto Delaidelli, Poul H. Sorensen, Robert J. Wechsler‐Reya, Katalin Karikó, Phillip B. Storm, David M. Barrett, Adam Resnick, John M. Maris, Kristopher R. Bosse	30
8	Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers 2022 ·Neoplasia ·Debanjan Haldar, Anahita Fathi Kazerooni, (unknown), Ariana Familiar, (unknown), Nastaran Khalili, Sina Bagheri, Hannah Anderson, (unknown), Aria Mahtabfar, Meen Chul Kim, (unknown), (unknown), Arastoo Vossough, Christos Davatzikos, Phillip B. Storm, Adam Resnick, Ali Nabavizadeh	21
9	annoFuse: an R Package to annotate, prioritize, and interactively explore putative oncogenic RNA fusions 2020 ·BMC Bioinformatics ·Krutika S. Gaonkar, Fédérico Marini, Komal S. Rathi, Payal Jain, Yuankun Zhu, (unknown), Miguel Brown, Ammar S. Naqvi, (unknown), Phillip B. Storm, John M. Maris, Pichai Raman, Adam Resnick, Konstantin Strauch, Jaclyn Taroni, Jo Lynne Rokita	7
10	A transcriptome-based classifier to determine molecular subtypes in medulloblastoma 2020 ·PLoS Computational Biology ·Komal S. Rathi, (unknown), Mateusz Koptyra, Ammar S. Naqvi, Deanne Taylor, Phillip B. Storm, Adam Resnick, Jo Lynne Rokita, Pichai Raman	4
11	Clinically Relevant and Minimally Invasive Tumor Surveillance of Pediatric Diffuse Midline Gliomas Using Patient-Derived Liquid Biopsy 2018 ·Clinical Cancer Research ·Eshini Panditharatna, Lindsay Kilburn, Mariam Aboian, Madhuri Kambhampati, Heather Gordish‐Dressman, Suresh N. Magge, Nalin Gupta, John S. Myseros, Eugene Hwang, Cassie Kline, John R. Crawford, Katherine E. Warren, Soonmee Cha, Winnie S. Liang, Michael E. Berens, Roger J. Packer, Adam Resnick, Michael D. Prados, Sabine Mueller, Javad Nazarian	123
12	Dual HDAC and PI3K Inhibition Abrogates NFκB- and FOXM1-Mediated DNA Damage Response to Radiosensitize Pediatric High-Grade Gliomas 2018 ·Cancer Research ·Sharmistha Pal, David Kozono, Xiaodong Yang, Wojciech Fendler, (unknown), Jing Ni, John A. Alberta, Jean J. Zhao, Kevin X. Liu, Jie Bian, Nathalène Truffaux, William A. Weiss, Adam Resnick, Pratiti Bandopadhayay, Keith L. Ligon, Steven G. DuBois, Sabine Mueller, Dipanjan Chowdhury, Daphne A. Haas‐Kogan	71
13	Purification of mRNA Encoding Chimeric Antigen Receptor Is Critical for Generation of a Robust T-Cell Response 2018 ·Human Gene Therapy ·Jessica Foster, Namrata Choudhari, Jessica Perazzelli, (unknown), Ted J. Hofmann, Payal Jain, Phillip B. Storm, Norbert Pardi, Drew Weissman, Angela J. Waanders, Stephan A. Grupp, Katalin Karikó, Adam Resnick, David M. Barrett	101
14	BRAF Status in Personalizing Treatment Approaches for Pediatric Gliomas 2016 ·Clinical Cancer Research ·Aleksandra Olow, Sabine Mueller, Xiao-Dong Yang, Rintaro Hashizume, Justin Meyerowitz, William A. Weiss, Adam Resnick, Angela J. Waanders, Lukas J.A. Stalpers, Mitchel S. Berger, Nalin Gupta, C. David James, Claudia Petritsch, Daphne A. Haas‐Kogan	33
15	Inositol polyphosphates intersect with signaling and metabolic networks via two distinct mechanisms 2016 ·Proceedings of the National Academy of Sciences ·Mingxuan Wu, Lucy S. Chong, (unknown), Adam Resnick, Dorothea Fiedler	72
16	Sourcing and Global Distribution of Medical Supplies 2014 ·Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School) ·Adam Resnick, William Welser, (unknown)	1
17	Inositol polyphosphate multikinase is a physiologic PI3-kinase that activates Akt/PKB 2011 ·Proceedings of the National Academy of Sciences ·David Maag, Micah J. Maxwell, Douglas A. Hardesty, Katie Boucher, Namrata Choudhari, (unknown), (unknown), (unknown), (unknown), Risheng Xu, Phillip B. Storm, Adolfo Saiardi, Solomon H. Snyder, Adam Resnick	88
18	Protein pyrophosphorylation by inositol pyrophosphates is a posttranslational event 2007 ·Proceedings of the National Academy of Sciences ·Rashna Bhandari, Adolfo Saiardi, Yousef Ahmadibeni, Adele M. Snowman, Adam Resnick, Troels Zakarias Kristiansen, Henrik Molina, Akhilesh Pandey, J. Kent Werner, Krishna R. Juluri, Yong Xu, Glenn D. Prestwich, Keykavous Parang, Solomon H. Snyder	182
19	Inositol polyphosphate multikinase is a nuclear PI3-kinase with transcriptional regulatory activity 2005 ·Proceedings of the National Academy of Sciences ·Adam Resnick, Adele M. Snowman, (unknown), K. Joseph Hurt, Solomon H. Snyder, Adolfo Saiardi	101
20	Phosphorylation of Proteins by Inositol Pyrophosphates 2004 ·Science ·Adolfo Saiardi, Rashna Bhandari, Adam Resnick, Adele M. Snowman, Solomon H. Snyder	250

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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