Grace M. Wang

20 total papers · 461 total citations
12 papers, 158 citations indexed

About

Grace M. Wang is a scholar working on Molecular Biology, Ophthalmology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Grace M. Wang has authored 12 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Ophthalmology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Grace M. Wang's work include PI3K/AKT/mTOR signaling in cancer (2 papers), Developmental Biology and Gene Regulation (2 papers) and DNA Repair Mechanisms (2 papers). Grace M. Wang is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (2 papers), Developmental Biology and Gene Regulation (2 papers) and DNA Repair Mechanisms (2 papers). Grace M. Wang collaborates with scholars based in United States and Russia. Grace M. Wang's co-authors include Brenda L. Bohnsack, Joseph P. Garay, Justin Cidado, Ben Ho Park, Julia A. Beaver, Hong Yuen Wong, Josh Lauring, Rory L. Cochran, Daniel J. Zabransky and Paula J. Hurley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genetics and Oncotarget.

In The Last Decade

Grace M. Wang

11 papers receiving 157 citations

Author Peers

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

Author						Papers	Cites
Grace M. Wang	88	40	34	21	16	12	158
Siquan Chen	124 1.4×	20 0.5×	22 0.6×	25 1.2×	13 0.8×	14	188
Kyle Ford	110 1.3×	12 0.3×	22 0.6×	22 1.0×	5 0.3×	12	154
Chi‐Fan Yang	102 1.2×	69 1.7×	26 0.8×	7 0.3×	2 0.1×	12	185
Meenal Chalukya	70 0.8×	35 0.9×	17 0.5×	43 2.0×	56 3.5×	13	205
Arjan Bouman	66 0.8×	73 1.8×	8 0.2×	16 0.8×	21 1.3×	14	144
Adriana Buskin	185 2.1×	13 0.3×	43 1.3×	55 2.6×	20 1.3×	11	253
Larissa S. Moniz	202 2.3×	40 1.0×	45 1.3×	26 1.2×	7 0.4×	10	252
Ingrid Bader	185 2.1×	68 1.7×	17 0.5×	61 2.9×	13 0.8×	12	204
Joseph C. Siefert	171 1.9×	23 0.6×	37 1.1×	5 0.2×	9 0.6×	14	228
Alice Fiévet	103 1.2×	45 1.1×	57 1.7×	6 0.3×	4 0.3×	15	186

Countries citing papers authored by Grace M. Wang

Since Specialization

Citations

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

Fields of papers citing papers by Grace M. Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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