Charles Macaulay

1.1k total citations
8 papers, 76 citations indexed

About

Charles Macaulay is a scholar working on Pathology and Forensic Medicine, Cancer Research and Oncology. According to data from OpenAlex, Charles Macaulay has authored 8 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Charles Macaulay's work include Cancer Genomics and Diagnostics (5 papers), Lymphoma Diagnosis and Treatment (4 papers) and CAR-T cell therapy research (3 papers). Charles Macaulay is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Lymphoma Diagnosis and Treatment (4 papers) and CAR-T cell therapy research (3 papers). Charles Macaulay collaborates with scholars based in United States, Germany and Switzerland. Charles Macaulay's co-authors include Michael C. Carroll, Gerben Bouma, Goran Bajic, Christian D. Ellson, Gabriel D. Victora, Søren E. Degn, Cees E. van der Poel, Theo van den Broek, Ash A. Alizadeh and David M. Kurtz and has published in prestigious journals such as Blood and Cell Reports.

In The Last Decade

Charles Macaulay

7 papers receiving 76 citations

Peers

Countries citing papers authored by Charles Macaulay

Since Specialization

Citations

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

Fields of papers citing papers by Charles Macaulay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Macaulay

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

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	MRD-Negativity As a Potential Surrogate Endpoint after Frontline DLBCL Therapy: Pooled Analysis of Trials & Implications for Clinical Trial Design 2022 ·Blood ·Mark Roschewski, David M. Kurtz, Jason R. Westin, Ryan C. Lynch, Charles Macaulay, Christian Kuffer, Gregory J. Hogan, Sandra Close, Jacob J. Chabon, Davide Rossi, Maximilian Diehn, Ash A. Alizadeh, André Schultz	8
2	Noninvasive Cell-of-Origin Classification of Diffuse Large B-Cell Lymphoma Using Inferred Gene Expression from Cell-Free DNA Sequencing 2021 ·Blood ·Mohammad Shahrokh Esfahani, Stefan Alig, Mahya Mehrmohamadi, Emily G. Hamilton, Daniel A. King, André Schultz, Chloé B. Steen, Charles Macaulay, Brian J. Sworder, David M. Kurtz, Maximilian Diehn, Ash A. Alizadeh	0
3	Profiling T-Cell Receptor Diversity and Dynamics during Lymphoma Immunotherapy Using Cell-Free DNA (cfDNA) 2020 ·Blood ·Navika Shukla, Alexander Craig, Brian J. Sworder, David M. Kurtz, Charles Macaulay, Andrea Garofalo, Matthew J. Frank, Stefan Alig, George E. Durán, Youn H. Kim, James L. Zehnder, Crystal L. Mackall, David B. Miklos, Maximilian Diehn, Michael S. Khodadoust, Ash A. Alizadeh	2
4	Follicular Dendritic Cells Modulate Germinal Center B Cell Diversity through FcγRIIB 2019 ·Cell Reports ·Cees E. van der Poel, Goran Bajic, Charles Macaulay, Theo van den Broek, Christian D. Ellson, Gerben Bouma, Gabriel D. Victora, Søren E. Degn, Michael C. Carroll	33
5	Circulating DNA for Molecular Response Prediction, Characterization of Resistance Mechanisms and Quantification of CAR T-Cells during Axicabtagene Ciloleucel Therapy 2019 ·Blood ·Brian J. Sworder, David M. Kurtz, Charles Macaulay, Matthew J. Frank, Stefan Alig, Andrea Garofalo, Bita Sahaf, Mohammad Shahrokh Esfahani, Jay Y. Spiegel, Jean Oak, Sara Beygi, Michael C. Jin, Jacob J. Chabon, Michael S. Khodadoust, Robbie G. Majzner, Crystal L. Mackall, Maximilian Diehn, David B. Miklos, Ash A. Alizadeh	14
6	Towards Non-Invasive Classification of DLBCL Genetic Subtypes By Ctdna Profiling 2019 ·Blood ·Mohammad Shahrokh Esfahani, Stefan Alig, David M. Kurtz, Joanne Soo, Michael C. Jin, Charles Macaulay, Alexander Craig, Andrea Garofalo, Chloé B. Steen, Florian Scherer, Brian J. Sworder, Maximilian Diehn, Ash A. Alizadeh	11
7	Phased Variant Enrichment for Enhanced Minimal Residual Disease Detection from Cell-Free DNA 2019 ·Blood ·David M. Kurtz, Joanne Soo, Stefan Alig, (unknown), Charles Macaulay, Michael C. Jin, Florian Scherer, Emily G. Hamilton, Chih Long Liu, Binbin Chen, Alexander Craig, Maximilian Diehn, Ash A. Alizadeh	4
8	Interim Circulating Tumor DNA As a Prognostic Biomarker in the Setting of Interim PET-Based Adaptive Therapy for DLBCL 2019 ·Blood ·Charles Macaulay, Stefan Alig, David M. Kurtz, Michael C. Jin, Stephen Opat, Joanne Soo, Brian J. Sworder, Mark Hertzberg, Maher K. Gandhi, Maximilian Diehn, Ash A. Alizadeh	4

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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