Daniel J. Emerson

1.3k total citations
14 papers, 664 citations indexed

About

Daniel J. Emerson is a scholar working on Molecular Biology, Safety, Risk, Reliability and Quality and Building and Construction. According to data from OpenAlex, Daniel J. Emerson has authored 14 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Safety, Risk, Reliability and Quality and 3 papers in Building and Construction. Recurrent topics in Daniel J. Emerson's work include Traffic Prediction and Management Techniques (3 papers), Traffic and Road Safety (3 papers) and Genomics and Chromatin Dynamics (3 papers). Daniel J. Emerson is often cited by papers focused on Traffic Prediction and Management Techniques (3 papers), Traffic and Road Safety (3 papers) and Genomics and Chromatin Dynamics (3 papers). Daniel J. Emerson collaborates with scholars based in United States, Australia and Japan. Daniel J. Emerson's co-authors include Jennifer E. Phillips‐Cremins, Katelyn R. Titus, Dan Sindhikara, Adrián E. Roitberg, Thomas G. Gilgenast, Cheryl A. Keller, Ross C. Hardison, Peng Huang, Belinda Giardine and Gerd A. Blobel and has published in prestigious journals such as Nature, Cell and Journal of the American Chemical Society.

In The Last Decade

Daniel J. Emerson

13 papers receiving 656 citations

Peers

Daniel J. Emerson

GENET

CMN

AMPO

Chiraj K. Dalal United States

Corella S. Casas-Delucchi Germany

Kazunari Kaizu Japan

Laixing Zhang China

Kayo Hibino Japan

Haitham A. Shaban Egypt

Juntao Gao China

Zhi Qi China

Michal Szczepek Germany

Olivier Cinquin United States

Chiraj K. Dalal United States

Daniel J. Emerson

606 ×1.1

80 ×0.7

79 ×0.9

GENET

55 ×1.2

CMN

23 ×0.5

AMPO

Citations per year, relative to Daniel J. Emerson Daniel J. Emerson (= 1×) peers Chiraj K. Dalal

Countries citing papers authored by Daniel J. Emerson

Since Specialization

Citations

This map shows the geographic impact of Daniel J. Emerson'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. Emerson 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. Emerson more than expected).

Fields of papers citing papers by Daniel J. Emerson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Han, Ye, et al.. (2025). A data-driven approach for real-time soft tissue deformation prediction using nonlinear presurgical simulations. PLoS ONE. 20(4). e0319196–e0319196.

Emerson, Daniel J., Yoed Rabin, & Levent Burak Kara. (2025). A simplified computational liver perfusion model, with applications to organ preservation. Scientific Reports. 15(1). 2178–2178. 1 indexed citations

Huang, Harvey, et al.. (2019). A subset of topologically associating domains fold into mesoscale core-periphery networks. Scientific Reports. 9(1). 9526–9526. 10 indexed citations

Zhang, Haoyue, Daniel J. Emerson, Thomas G. Gilgenast, et al.. (2019). Chromatin structure dynamics during the mitosis-to-G1 phase transition. Nature. 576(7785). 158–162. 167 indexed citations

Sun, James, Linda Zhou, Daniel J. Emerson, et al.. (2018). Disease-Associated Short Tandem Repeats Co-localize with Chromatin Domain Boundaries. Cell. 175(1). 224–238.e15. 138 indexed citations

Emerson, Daniel J., Harvey Huang, Katelyn R. Titus, et al.. (2018). Detecting hierarchical genome folding with network modularity. Nature Methods. 15(2). 119–122. 83 indexed citations

Hsu, Sarah, Thomas G. Gilgenast, Caroline Bartman, et al.. (2017). The BET Protein BRD2 Cooperates with CTCF to Enforce Transcriptional and Architectural Boundaries. Molecular Cell. 66(1). 102–116.e7. 94 indexed citations

Emerson, Daniel J., et al.. (2013). A data mining driven risk profiling method for road asset management. 1267–1275. 1 indexed citations

Emerson, Daniel J., Brian P. Weiser, Zhengzheng Liao, et al.. (2013). Direct Modulation of Microtubule Stability Contributes to Anthracene General Anesthesia. Journal of the American Chemical Society. 135(14). 5389–5398. 43 indexed citations

10.

Emerson, Daniel J., Zhengzheng Liao, Roderic G. Eckenhoff, & Ivan J. Dmochowski. (2012). A Novel Fluorescent General Anesthetic Enables Imaging of Sites of Action In Vivo . Anesthesiology. 116(6). 1363–1363. 3 indexed citations

11.

Emerson, Daniel J., et al.. (2011). Using data mining to predict road crash count with a focus on skid resistance values. QUT ePrints (Queensland University of Technology). 5 indexed citations

12.

Nayak, Richi, et al.. (2011). Road crash proneness prediction using data mining. 521–526. 11 indexed citations

13.

Sindhikara, Dan, Daniel J. Emerson, & Adrián E. Roitberg. (2010). Exchange Often and Properly in Replica Exchange Molecular Dynamics. Journal of Chemical Theory and Computation. 6(9). 2804–2808. 104 indexed citations

14.

Nayak, Richi, et al.. (2010). Using data mining on road asset management data in analysing road crashes. QUT ePrints (Queensland University of Technology). 4 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.

Explore authors with similar magnitude of impact