Emily C. Liang

122 total papers · 932 total citations
44 papers, 500 citations indexed

About

Emily C. Liang is a scholar working on Oncology, Immunology and Epidemiology. According to data from OpenAlex, Emily C. Liang has authored 44 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 11 papers in Immunology and 9 papers in Epidemiology. Recurrent topics in Emily C. Liang's work include CAR-T cell therapy research (13 papers), Acute Lymphoblastic Leukemia research (6 papers) and Cytomegalovirus and herpesvirus research (6 papers). Emily C. Liang is often cited by papers focused on CAR-T cell therapy research (13 papers), Acute Lymphoblastic Leukemia research (6 papers) and Cytomegalovirus and herpesvirus research (6 papers). Emily C. Liang collaborates with scholars based in United States, China and Australia. Emily C. Liang's co-authors include Catherine A. Blish, Dara M. Strauss‐Albee, Alison L. Drake, Ruth R. Montgomery, Susan Holmes, Yi Yao, Grace John‐Stewart, Julia Fukuyama, Justin A. Jarrell and John Kinuthia and has published in prestigious journals such as Journal of Clinical Oncology, Blood and JNCI Journal of the National Cancer Institute.

In The Last Decade

Emily C. Liang

39 papers receiving 499 citations

Author Peers

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

Author Last Decade Papers Cites
Emily C. Liang 162 117 91 80 75 44 500
Révillard Jp 186 1.1× 66 0.6× 51 0.6× 65 0.8× 39 0.5× 66 497
Dominique Masson 215 1.3× 53 0.5× 50 0.5× 57 0.7× 41 0.5× 49 467
Roxane Lemoine 101 0.6× 123 1.1× 69 0.8× 78 1.0× 20 0.3× 36 537
J. L. Touraine 142 0.9× 28 0.2× 66 0.7× 178 2.2× 50 0.7× 53 536
Ciara N. Magee 293 1.8× 110 0.9× 124 1.4× 60 0.8× 31 0.4× 31 600
Yoshinobu Fuke 164 1.0× 101 0.9× 45 0.5× 75 0.9× 26 0.3× 39 496
D. Niese 76 0.5× 58 0.5× 48 0.5× 58 0.7× 83 1.1× 43 573
Cosimi Ab 175 1.1× 71 0.6× 126 1.4× 95 1.2× 36 0.5× 39 536
J Bedrossian 84 0.5× 71 0.6× 150 1.6× 151 1.9× 47 0.6× 31 574
Katsunori Miyake 206 1.3× 75 0.6× 98 1.1× 75 0.9× 32 0.4× 47 525

Countries citing papers authored by Emily C. Liang

Since Specialization
Citations

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

Fields of papers citing papers by Emily C. Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily C. Liang. 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 Emily C. Liang. The network helps show where Emily C. Liang may publish in the future.

Co-authorship network of co-authors of Emily C. Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Emily C. Liang. A scholar is included among the top collaborators of Emily C. Liang 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 Emily C. Liang. Emily C. Liang 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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