Katherine Dang

481 total citations
5 papers, 344 citations indexed

About

Katherine Dang is a scholar working on Pathology and Forensic Medicine, Epidemiology and Oncology. According to data from OpenAlex, Katherine Dang has authored 5 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pathology and Forensic Medicine, 2 papers in Epidemiology and 1 paper in Oncology. Recurrent topics in Katherine Dang's work include Liver Disease Diagnosis and Treatment (2 papers), Alcohol Consumption and Health Effects (2 papers) and Liver Disease and Transplantation (1 paper). Katherine Dang is often cited by papers focused on Liver Disease Diagnosis and Treatment (2 papers), Alcohol Consumption and Health Effects (2 papers) and Liver Disease and Transplantation (1 paper). Katherine Dang collaborates with scholars based in United States, India and Israel. Katherine Dang's co-authors include Robert J. Wong, Ashwani K. Singal, Vinay Sundaram, Grishma Hirode, Mark M. Davis, Sandy Srinivas, Lih‐Ling Lin, Han Zhu, Holden T. Maecker and Francisco X. Galdos and has published in prestigious journals such as JAMA, Circulation and The American Journal of Gastroenterology.

In The Last Decade

Katherine Dang

4 papers receiving 341 citations

Peers

Katherine Dang
Katherine Dang
Citations per year, relative to Katherine Dang Katherine Dang (= 1×) peers Hossein Nobakht

Countries citing papers authored by Katherine Dang

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Dang. A scholar is included among the top collaborators of Katherine Dang 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 Katherine Dang. Katherine Dang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
2.
Zhu, Han, Francisco X. Galdos, Daniel Lee, et al.. (2022). Identification of Pathogenic Immune Cell Subsets Associated With Checkpoint Inhibitor–Induced Myocarditis. Circulation. 146(4). 316–335. 103 indexed citations
3.
Pang, Jonathan C., et al.. (2022). Intranasal Anticholinergics for Treatment of Chronic Rhinitis: Systematic Review and Meta‐Analysis. The Laryngoscope. 133(4). 722–731. 9 indexed citations
4.
Dang, Katherine, Grishma Hirode, Ashwani K. Singal, Vinay Sundaram, & Robert J. Wong. (2019). Alcoholic Liver Disease Epidemiology in the United States: A Retrospective Analysis of 3 US Databases. The American Journal of Gastroenterology. 115(1). 96–104. 103 indexed citations
5.
Dang, Katherine, et al.. (2019). Prevalence of Alcoholic Fatty Liver Disease Among Adults in the United States, 2001-2016. JAMA. 321(17). 1723–1723. 129 indexed citations

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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