Daniel E. Strongin

1.2k citations
14 papers · 846 indexed · h-index 10
Topics
Virus-based gene therapy research (5 papers)Endoplasmic Reticulum Stress and Disease (4 papers)Herpesvirus Infections and Treatments (3 papers)

In The Last Decade

Daniel E. Strongin

14 papers receiving 837 citations

Peers

Daniel E. Strongin
Comparison fields: 5 of 80
  • Molecular Biology 631
  • Cell Biology 415
  • Biophysics 135
  • Cellular and Molecular Neuroscience 100
  • Epidemiology 76
Replace Riya Raghupathy with:
Riya Raghupathy India
Séverine Divoux France
Arrate Mallabiabarrena Spain
Oliviano Martella Italy
Peter C. Fridy United States
Jon Soderholm United States
Gisela Beck Germany
Dmitry S. Ushakov United Kingdom
Mark T. Howes Australia
Vadym Sulimenko Czechia
Daniel E. Strongin relative to Riya Raghupathy India Riya Raghupathy's profile →
Citations per field
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Riya Raghupathy · 1×
Citations per year

Countries citing papers authored by Daniel E. Strongin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Strongin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel E. Strongin

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 4
3 12
4 52
5 32
6 15
7 55
8 2
9 154
10 47
11 287
12 140
13 43
14 1

About Daniel E. Strongin

Daniel E. Strongin is a scholar working on Biophysics, Cell Biology and Biotechnology, having authored 14 papers that have together received 846 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Cell Biology (415 citations), Biophysics (135 citations) and Molecular Biology (631 citations). Daniel E. Strongin has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include Benjamin S. Glick, Catherine Reinke, Brooke J. Bevis, Rita Strack, Robert J. Keenan, Jon Soderholm, Dibyendu Bhattacharyya, Pamela L. Connerly, Stephanie Levi and Allison Berman. Their work appears in journals such as Nature, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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