Daniel J. Engelberth

405 total citations
2 papers, 335 citations indexed

About

Daniel J. Engelberth is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Daniel J. Engelberth has authored 2 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Genetics. Recurrent topics in Daniel J. Engelberth's work include MicroRNA in disease regulation (1 paper), Cancer Genomics and Diagnostics (1 paper) and Extracellular vesicles in disease (1 paper). Daniel J. Engelberth is often cited by papers focused on MicroRNA in disease regulation (1 paper), Cancer Genomics and Diagnostics (1 paper) and Extracellular vesicles in disease (1 paper). Daniel J. Engelberth collaborates with scholars based in United States and India. Daniel J. Engelberth's co-authors include Pranela Rameshwar, Sarah A. Bliss, Steven J. Greco, Garima Sinha, Seda Ayer, Margarette Bryan, Leidy Isenalumhe, Rakesh Kumar, Khadidiatou Guiro and Lisa M. Williams and has published in prestigious journals such as Cancer Research and Scientific Reports.

In The Last Decade

Daniel J. Engelberth

2 papers receiving 333 citations

Peers

Daniel J. Engelberth
Seda Ayer United States
Jo Lynne Rokita United States
Kimi Kong United States
Zhefu Zhao Germany
Qin Bi China
Nikki A. Evensen United States
Berwini Endaya Australia
Seda Ayer United States
Daniel J. Engelberth
Citations per year, relative to Daniel J. Engelberth Daniel J. Engelberth (= 1×) peers Seda Ayer

Countries citing papers authored by Daniel J. Engelberth

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Engelberth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Engelberth

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

All Works

2 of 2 papers shown
1.
Bliss, Sarah A., Sunirmal Paul, Seda Ayer, et al.. (2018). Evaluation of a developmental hierarchy for breast cancer cells to assess risk-based patient selection for targeted treatment. Scientific Reports. 8(1). 367–367. 21 indexed citations
2.
Bliss, Sarah A., Garima Sinha, Oleta A. Sandiford, et al.. (2016). Mesenchymal Stem Cell–Derived Exosomes Stimulate Cycling Quiescence and Early Breast Cancer Dormancy in Bone Marrow. Cancer Research. 76(19). 5832–5844. 314 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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