Matthew B. Dong

47 total papers · 2.8k total citations
24 papers, 1.8k citations indexed

About

Matthew B. Dong is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Matthew B. Dong has authored 24 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 11 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Matthew B. Dong's work include CRISPR and Genetic Engineering (11 papers), Immune Cell Function and Interaction (8 papers) and CAR-T cell therapy research (7 papers). Matthew B. Dong is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), Immune Cell Function and Interaction (8 papers) and CAR-T cell therapy research (7 papers). Matthew B. Dong collaborates with scholars based in United States, Switzerland and Austria. Matthew B. Dong's co-authors include Sidi Chen, Ryan D. Chow, Lupeng Ye, Guangchuan Wang, Youssef Errami, Jonathan J. Park, Xiaoyun Dai, Paul Renauer, Yaying Du and Lei Peng and has published in prestigious journals such as Cell, Nature Neuroscience and Nature Biotechnology.

In The Last Decade

Matthew B. Dong

23 papers receiving 1.8k citations

Hit Papers

High-content CRISPR scree... 2022 2026 2023 2024 2022 2022 2022 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthew B. Dong 1.2k 570 410 276 136 24 1.8k
Ryan D. Chow 1.2k 1.0× 647 1.1× 346 0.8× 265 1.0× 195 1.4× 38 1.8k
Michael E. Rothenberg 1.4k 1.1× 376 0.7× 362 0.9× 254 0.9× 250 1.8× 35 2.2k
Mateusz Legut 1.1k 0.9× 738 1.3× 727 1.8× 277 1.0× 123 0.9× 26 2.1k
Jonathan J. Park 787 0.6× 494 0.9× 432 1.1× 195 0.7× 151 1.1× 25 1.3k
Raquel Blanco 1.4k 1.1× 400 0.7× 319 0.8× 113 0.4× 209 1.5× 18 1.9k
Irina Y. Tcherepanova 702 0.6× 414 0.7× 615 1.5× 228 0.8× 96 0.7× 34 1.4k
Tran C. Thai 1.1k 0.9× 327 0.6× 521 1.3× 98 0.4× 166 1.2× 16 1.7k
Michael J. T. Stubbington 1.2k 1.0× 228 0.4× 902 2.2× 160 0.6× 226 1.7× 22 1.9k
Hélène Bœuf 1.2k 1.0× 519 0.9× 264 0.6× 326 1.2× 174 1.3× 39 1.8k
Gediminas Greicius 1.1k 0.8× 545 1.0× 238 0.6× 297 1.1× 136 1.0× 25 1.7k

Countries citing papers authored by Matthew B. Dong

Since Specialization
Citations

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

Fields of papers citing papers by Matthew B. Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew B. Dong. 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 Matthew B. Dong. The network helps show where Matthew B. Dong may publish in the future.

Co-authorship network of co-authors of Matthew B. Dong

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

All Works

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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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