Daniel Y. Paik

856 total citations
11 papers, 350 citations indexed

About

Daniel Y. Paik is a scholar working on Molecular Biology, Reproductive Medicine and Oncology. According to data from OpenAlex, Daniel Y. Paik has authored 11 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Reproductive Medicine and 4 papers in Oncology. Recurrent topics in Daniel Y. Paik's work include Endometrial and Cervical Cancer Treatments (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Reproductive Biology and Fertility (2 papers). Daniel Y. Paik is often cited by papers focused on Endometrial and Cervical Cancer Treatments (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Reproductive Biology and Fertility (2 papers). Daniel Y. Paik collaborates with scholars based in United States. Daniel Y. Paik's co-authors include Deanna M. Janzen, Sanaz Memarzadeh, Owen N. Witte, Donghui Cheng, Jiaoti Huang, Miguel A. Rosales, M. Luisa Iruela‐Arispe, Daniel A. Smith, Bryan D. Moyer and Matteo Pellegrini and has published in prestigious journals such as Cancer Research, Biochemical Journal and Genetics.

In The Last Decade

Daniel Y. Paik

11 papers receiving 350 citations

Peers

Daniel Y. Paik

RM

MB

ONCOL

OG

IMMUN

Kristen Bunch United States

A. de Goeij Netherlands

Maud Jonnaert United States

Ruben Heremans Belgium

Mackenzie Coatham Canada

Mara Artibani United Kingdom

Sumit Bhutada United States

Marcin Jędryka Poland

Hao Ran United States

Heidi Godoy United States

Kristen Bunch United States

Daniel Y. Paik

94 ×0.7

RM

140 ×1.0

MB

101 ×0.9

ONCOL

38 ×0.4

OG

64 ×0.9

IMMUN

Citations per year, relative to Daniel Y. Paik Daniel Y. Paik (= 1×) peers Kristen Bunch

Countries citing papers authored by Daniel Y. Paik

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Y. Paik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Y. Paik. 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 Daniel Y. Paik. The network helps show where Daniel Y. Paik may publish in the future.

Co-authorship network of co-authors of Daniel Y. Paik

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

All Works

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11 of 11 papers shown

1.

Sethi, Rajni, et al.. (2018). Real-time Doppler ultrasound to identify vessels and guide needle placement for gynecologic interstitial brachytherapy. Brachytherapy. 17(5). 742–746. 8 indexed citations

2.

Sethi, Rajni, et al.. (2018). Real-Time Doppler Ultrasound to Identify Vessels and Guide Needle Placement for Gynecologic Interstitial Brachytherapy. Brachytherapy. 17(4). S114–S115. 2 indexed citations

3.

Paik, Daniel Y., et al.. (2015). Spindle Assembly and Chromosome Segregation Requires Central Spindle Proteins in Drosophila Oocytes. Genetics. 202(1). 61–75. 15 indexed citations

4.

Gangi, Alexandra, Ilana Cass, Daniel Y. Paik, et al.. (2014). Breast Cancer Following Ovarian Cancer inBRCAMutation Carriers. JAMA Surgery. 149(12). 1306–1306. 29 indexed citations

5.

Janzen, Deanna M., Miguel A. Rosales, Daniel Y. Paik, et al.. (2013). Progesterone Receptor Signaling in the Microenvironment of Endometrial Cancer Influences Its Response to Hormonal Therapy. Cancer Research. 73(15). 4697–4710. 58 indexed citations

6.

Janzen, Deanna M., Daniel Y. Paik, Miguel A. Rosales, et al.. (2013). Low Levels of Circulating Estrogen Sensitize PTEN-Null Endometrial Tumors to PARP Inhibition In Vivo. Molecular Cancer Therapeutics. 12(12). 2917–2928. 22 indexed citations

7.

Janzen, Deanna M., Donghui Cheng, Daniel Y. Paik, et al.. (2013). Estrogen and progesterone together expand murine endometrial epithelial progenitor cells. Stem Cells. 31(4). 808–822. 45 indexed citations

8.

Paik, Daniel Y., Deanna M. Janzen, Donghui Cheng, et al.. (2012). Stem‐Like Epithelial Cells Are Concentrated in the Distal End of the Fallopian Tube: A Site for Injury and Serous Cancer Initiation. Stem Cells. 30(11). 2487–2497. 114 indexed citations

9.

Werner, Erika F., et al.. (2010). Gastroschisis and Bladder Herniation. Journal of Ultrasound in Medicine. 29(2). 313–316. 2 indexed citations

10.

Paik, Daniel Y., Emiliano Cocco, Stefania Bellone, et al.. (2010). Higher sensitivity to patupilone versus paclitaxel chemotherapy in primary uterine serous papillary carcinoma cell lines with high versus low HER-2/neu expression in vitro. Gynecologic Oncology. 119(1). 140–145. 10 indexed citations

11.

Maitra, Rangan, Patricia A. Halpin, Katherine H. Karlson, et al.. (2001). Differential effects of mitomycin C and doxorubicin on P-glycoprotein expression. Biochemical Journal. 355(3). 617–624. 45 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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