Grace Yan

12 total papers · 419 total citations
10 papers, 315 citations indexed

About

Grace Yan is a scholar working on Oncology, Molecular Biology and Pharmacology. According to data from OpenAlex, Grace Yan has authored 10 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Grace Yan's work include Drug Transport and Resistance Mechanisms (5 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Grace Yan is often cited by papers focused on Drug Transport and Resistance Mechanisms (5 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Grace Yan collaborates with scholars based in United States, Switzerland and Germany. Grace Yan's co-authors include Kim L. R. Brouwer, Raju Mohan, Tielin Wang, Xiao‐Hui Gu, Ira G. Schulman, Richard Martin, Paul Foster, Jiali Li, Paige E. Mahaney and Jay Wrobel and has published in prestigious journals such as Neurology, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Grace Yan

10 papers receiving 302 citations

Author Peers

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

Author Last Decade Papers Cites
Grace Yan 161 98 66 55 52 10 315
Feng Deng 170 1.1× 85 0.9× 61 0.9× 23 0.4× 71 1.4× 19 351
Ewa Nilsson 87 0.5× 175 1.8× 35 0.5× 23 0.4× 30 0.6× 8 335
Koen G. A. M. Hussaarts 121 0.8× 99 1.0× 28 0.4× 20 0.4× 54 1.0× 14 342
F. J. Hollis 89 0.6× 167 1.7× 26 0.4× 64 1.2× 79 1.5× 8 345
Prasad H. Kari 84 0.5× 65 0.7× 69 1.0× 50 0.9× 141 2.7× 9 355
Jennifer Colangelo 126 0.8× 142 1.4× 41 0.6× 89 1.6× 71 1.4× 15 358
Yi Han 115 0.7× 109 1.1× 28 0.4× 22 0.4× 101 1.9× 13 332
Peng Zhou 96 0.6× 79 0.8× 69 1.0× 31 0.6× 71 1.4× 19 354
Kaori Nakamoto 97 0.6× 121 1.2× 58 0.9× 38 0.7× 160 3.1× 5 357
J. Fred Pritchard 46 0.3× 111 1.1× 32 0.5× 16 0.3× 45 0.9× 7 285

Countries citing papers authored by Grace Yan

Since Specialization
Citations

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

Fields of papers citing papers by Grace Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Yan

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