M. Grace Gordon

23 total papers · 1.7k total citations
8 papers, 387 citations indexed

About

M. Grace Gordon is a scholar working on Molecular Biology, Immunology and Computational Mathematics. According to data from OpenAlex, M. Grace Gordon has authored 8 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Immunology and 1 paper in Computational Mathematics. Recurrent topics in M. Grace Gordon's work include RNA modifications and cancer (3 papers), Single-cell and spatial transcriptomics (3 papers) and Immune Cell Function and Interaction (2 papers). M. Grace Gordon is often cited by papers focused on RNA modifications and cancer (3 papers), Single-cell and spatial transcriptomics (3 papers) and Immune Cell Function and Interaction (2 papers). M. Grace Gordon collaborates with scholars based in United States, Australia and Netherlands. M. Grace Gordon's co-authors include Chun Ye, Joseph E. Powell, Seyhan Yazar, Alex W. Hewitt, Stacey B. Andersen, Anne Senabouth, Kirsten A. Fairfax, Antonia C. Rowson, Christine Chen and Kristof Wing and has published in prestigious journals such as Science, Nature Communications and Nature Biotechnology.

In The Last Decade

M. Grace Gordon

8 papers receiving 384 citations

Hit Papers

Single-cell eQTL mapping ... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
M. Grace Gordon 287 105 89 48 21 8 387
L. Alexander Liggett 187 0.7× 90 0.9× 107 1.2× 55 1.1× 30 1.4× 7 430
Dongchan Yang 292 1.0× 104 1.0× 96 1.1× 50 1.0× 18 0.9× 8 443
Matthew Jones 295 1.0× 41 0.4× 100 1.1× 86 1.8× 15 0.7× 5 394
Mai Dvorak 233 0.8× 28 0.3× 101 1.1× 32 0.7× 25 1.2× 8 362
Y S Yang 292 1.0× 39 0.4× 129 1.4× 45 0.9× 33 1.6× 7 432
Mariel-Esther Eberle 290 1.0× 35 0.3× 131 1.5× 42 0.9× 15 0.7× 7 421
Zijing Xie 260 0.9× 42 0.4× 60 0.7× 71 1.5× 16 0.8× 9 401
Brian Hsu 214 0.7× 96 0.9× 79 0.9× 29 0.6× 5 0.2× 6 354
Alexander Williams 289 1.0× 49 0.5× 56 0.6× 51 1.1× 13 0.6× 12 426
Karen L. Angus 186 0.6× 112 1.1× 185 2.1× 15 0.3× 23 1.1× 6 387

Countries citing papers authored by M. Grace Gordon

Since Specialization
Citations

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

Fields of papers citing papers by M. Grace Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Grace Gordon. 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 M. Grace Gordon. The network helps show where M. Grace Gordon may publish in the future.

Co-authorship network of co-authors of M. Grace Gordon

This figure shows the co-authorship network connecting the top 25 collaborators of M. Grace Gordon. A scholar is included among the top collaborators of M. Grace Gordon 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 M. Grace Gordon. M. Grace Gordon 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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