Daniel S. Day

7.6k total citations · 2 hit papers
13 papers, 2.4k citations indexed

About

Daniel S. Day is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Daniel S. Day has authored 13 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Neurology. Recurrent topics in Daniel S. Day's work include Genomics and Chromatin Dynamics (8 papers), RNA Research and Splicing (6 papers) and RNA modifications and cancer (4 papers). Daniel S. Day is often cited by papers focused on Genomics and Chromatin Dynamics (8 papers), RNA Research and Splicing (6 papers) and RNA modifications and cancer (4 papers). Daniel S. Day collaborates with scholars based in United States, China and Germany. Daniel S. Day's co-authors include Richard A. Young, Denes Hnisz, Abraham S. Weintraub, Charles H. Li, Alla A. Sigova, Rudolf Jaenisch, Alicia V. Zamudio, Tong Ihn Lee, Nathanael S. Gray and Brian J. Abraham and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel S. Day

13 papers receiving 2.4k citations

Hit Papers

Activation of proto-oncogenes by disruption of chromosome... 2016 2026 2019 2022 2016 2017 200 400 600

Peers

Daniel S. Day
Comparison fields: 5 of 86
  • Molecular Biology 2.1k
  • Plant Science 351
  • Cancer Research 297
  • Genetics 255
  • Oncology 209
Replace Abraham S. Weintraub with:
Abraham S. Weintraub United States
Roland Green United States
Anita Göndör Sweden
Andrei Kuzmichev United States
Allen W. Zhang Canada
Marc A. Morgan United States
Jolyon Terragni United States
Robbyn Issner United States
Lara S. Collier United States
Esther Rheinbay United States
Abraham S. Weintraub United States View profile →
Citations per field, relative to Daniel S. Day
Daniel S. Day · 1×
Citations per year, relative to Daniel S. Day
Daniel S. Day · 1×

Countries citing papers authored by Daniel S. Day

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Day

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 8
2 14
3 181
4 74
5 137
6
YY1 Is a Structural Regulator of Enhancer-Promoter Loops breakdown →
661
7
Activation of proto-oncogenes by disruption of chromosome neighborhoods breakdown →
679
8 67
9 286
10 98
11 69
12 81
13 44

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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