Cynthia Gao

31 total papers · 3.5k total citations
8 papers, 200 citations indexed

About

Cynthia Gao is a scholar working on Artificial Intelligence, Infectious Diseases and Surgery. According to data from OpenAlex, Cynthia Gao has authored 8 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Infectious Diseases and 1 paper in Surgery. Recurrent topics in Cynthia Gao's work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Biomedical Text Mining and Ontologies (1 paper). Cynthia Gao is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Biomedical Text Mining and Ontologies (1 paper). Cynthia Gao collaborates with scholars based in United States, Singapore and France. Cynthia Gao's co-authors include Francisco Guzmán, Bethany Percha, Vishrav Chaudhary, Da Young Ju, Marc’Aurelio Ranzato, Guillaume Wenzek, Naman Goyal, Peng‐Jen Chen, Angela Fan and Xiao‐Fei Kong and has published in prestigious journals such as Clinical Microbiology and Infection, Journal of the American Medical Informatics Association and Genetics in Medicine.

In The Last Decade

Cynthia Gao

7 papers receiving 189 citations

Author Peers

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

Author						Papers	Cites
Cynthia Gao	118	30	21	20	20	8	200
Umme Raihan Siddiqi	58 0.5×	33 1.1×	17 0.8×	43 2.1×	14 0.7×	14	268
Christian Castañeda	63 0.5×	33 1.1×	28 1.3×	4 0.2×	9 0.5×	14	231
David Lloyd	101 0.9×	58 1.9×	42 2.0×	3 0.1×	4 0.2×	7	209
Shengpu Tang	79 0.7×	41 1.4×	7 0.3×	30 1.5×	5 0.3×	10	226
Bradley D. Menz	43 0.4×	26 0.9×	14 0.7×	10 0.5×	2 0.1×	18	222
Rachel Lea Draelos	100 0.8×	8 0.3×	16 0.8×	4 0.2×	13 0.7×	8	214
Erwan Drézen	58 0.5×	14 0.5×	142 6.8×	9 0.5×	5 0.3×	8	250
Ante Karoglan	59 0.5×	9 0.3×	24 1.1×	12 0.6×	8 0.4×	8	187
Zachary H. Strasser	57 0.5×	8 0.3×	26 1.2×	74 3.7×	4 0.2×	12	220
Monica Isgut	61 0.5×	35 1.2×	52 2.5×	9 0.5×	3 0.1×	14	259

Countries citing papers authored by Cynthia Gao

Since Specialization

Citations

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

Fields of papers citing papers by Cynthia Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cynthia Gao

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