Diana Cai

2.1k total citations
13 papers, 344 citations indexed

About

Diana Cai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Statistical and Nonlinear Physics. According to data from OpenAlex, Diana Cai has authored 13 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Diana Cai's work include Bayesian Methods and Mixture Models (2 papers), Complex Network Analysis Techniques (2 papers) and Force Microscopy Techniques and Applications (1 paper). Diana Cai is often cited by papers focused on Bayesian Methods and Mixture Models (2 papers), Complex Network Analysis Techniques (2 papers) and Force Microscopy Techniques and Applications (1 paper). Diana Cai collaborates with scholars based in United States, France and Switzerland. Diana Cai's co-authors include Matthew Meyerson, Peter S. Choi, Qingqin S. Li, Ashton C. Berger, Tao Zou, Francisca Vázquez, Aviad Tsherniak, Galen F. Gao, Andrew D. Cherniack and Michael K. Kießling and has published in prestigious journals such as Nature Communications, Neuron and Frontiers in Neuroscience.

In The Last Decade

Diana Cai

12 papers receiving 338 citations

Peers

Diana Cai

IMMUN

PRM

GENET

Benjamin T. Dake United States

Jana M. Braunger Germany

Akiomi Nagasaka Japan

Shoko Ikeda Japan

Gabriel Rosenfeld United States

Hidetaka Ohnuki United States

Valeria Cicatiello Italy

Semyon Kolmykov Russia

Masanori Yoshinaga Japan

Manuel Rogg Germany

Benjamin T. Dake United States

Diana Cai

218 ×0.9

71 ×1.0

IMMUN

53 ×1.1

48 ×1.1

PRM

21 ×0.8

GENET

Citations per year, relative to Diana Cai Diana Cai (= 1×) peers Benjamin T. Dake

Countries citing papers authored by Diana Cai

Since Specialization

Citations

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

Fields of papers citing papers by Diana Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Cai

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

All Works

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13 of 13 papers shown

Novick, Andrew C., Diana Cai, Quan Dong Nguyen, et al.. (2024). Probabilistic prediction of material stability: integrating convex hulls into active learning. Materials Horizons. 11(21). 5381–5393. 3 indexed citations

Jones, Andrew, et al.. (2024). Optimizing the design of spatial genomic studies. Nature Communications. 15(1). 4987–4987. 2 indexed citations

Li, Qingqin S. & Diana Cai. (2021). Integrated miRNA-Seq and mRNA-Seq Study to Identify miRNAs Associated With Alzheimer’s Disease Using Post-mortem Brain Tissue Samples. Frontiers in Neuroscience. 15. 620899–620899. 34 indexed citations

Cai, Diana, et al.. (2021). Toward the Analysis of Lymphocyte Development in Space: PCR-Based Amplification of T-Cell Receptor Excision Circles (TRECs) Aboard the International Space Station. Gravitational and Space Research. 9(1). 159–163.

Cai, Diana, Trevor Campbell, & Tamara Broderick. (2020). Finite mixture models are typically inconsistent for the number of components. arXiv (Cornell University). 1 indexed citations

Cai, Diana, et al.. (2019). Identification and Characterization of Oncogenic SOS1 Mutations in Lung Adenocarcinoma. Molecular Cancer Research. 17(4). 1002–1012. 30 indexed citations

Mitsuishi, Yoichiro, Peter S. Choi, Diana Cai, et al.. (2019). Multi-Omics Analysis Identifies MGA as a Negative Regulator of the MYC Pathway in Lung Adenocarcinoma. Molecular Cancer Research. 18(4). 574–584. 26 indexed citations

Cai, Diana, Michael Mitzenmacher, & Ryan P. Adams. (2018). A Bayesian Nonparametric View on Count-Min Sketch. Neural Information Processing Systems. 31. 8768–8777. 2 indexed citations

Gannon, Hugh, Tao Zou, Michael K. Kießling, et al.. (2018). Identification of ADAR1 adenosine deaminase dependency in a subset of cancer cells. Nature Communications. 9(1). 5450–5450. 159 indexed citations

10.

Pedamallu, Chandra Sekhar, Ami S. Bhatt, Susan Bullman, et al.. (2016). Metagenomic Characterization of Microbial Communities In Situ Within the Deeper Layers of the Ileum in Crohn’s Disease. Cellular and Molecular Gastroenterology and Hepatology. 2(5). 563–566.e5. 24 indexed citations

11.

Cai, Diana, et al.. (2016). Priors on exchangeable directed graphs. Electronic Journal of Statistics. 10(2). 2 indexed citations

12.

Bhatt, Ami S., Veronica E. Manzo, Chandra Sekhar Pedamallu, et al.. (2014). Brief Report: In Search of a Candidate Pathogen for Giant Cell Arteritis: Sequencing‐Based Characterization of the Giant Cell Arteritis Microbiome. Arthritis & Rheumatology. 66(7). 1939–1944. 39 indexed citations

13.

Triballeau, Nicolas, Diana Cai, Peter W. Sorensen, et al.. (2008). High-Potency Olfactory Receptor Agonists Discovered by Virtual High-Throughput Screening: Molecular Probes for Receptor Structure and Olfactory Function. Neuron. 60(5). 767–774. 22 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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