David T. McSwiggen

2.3k citations
16 papers · 1.4k indexed · 2 hit papers · h-index 9
Topics
RNA Research and Splicing (5 papers)RNA modifications and cancer (4 papers)RNA and protein synthesis mechanisms (4 papers)

In The Last Decade

David T. McSwiggen

16 papers receiving 1.4k citations

Hit Papers

Evaluating phase separation in live cells: diagnosis, cav...201820262020202320192018100200300400

Peers

David T. McSwiggen
Comparison fields: 5 of 93
  • Molecular Biology 1.2k
  • Physiology 108
  • Cell Biology 88
  • Plant Science 84
  • Oncology 83
Replace John C. Manteiga with:
John C. Manteiga United States
Judith Sleeman United Kingdom
Lena K. Afeyan United States
Maj‐Britt Rask Denmark
Daniela S. Dimitrova United States
Jonathan E. Henninger United States
Stefanie Böhm Sweden
Carolina Eliscovich United States
Michael M. Soniat United States
Behzad Aghazadeh United States
David T. McSwiggen relative to John C. Manteiga United States John C. Manteiga's profile →
Citations per field
00.5×8.3×
John C. Manteiga · 1×
Citations per year

Countries citing papers authored by David T. McSwiggen

Since Specialization
Citations

This map shows the geographic impact of David T. McSwiggen'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 David T. McSwiggen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. McSwiggen more than expected).

Fields of papers citing papers by David T. McSwiggen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. McSwiggen. 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 David T. McSwiggen. The network helps show where David T. McSwiggen may publish in the future.

Co-authorship network of co-authors of David T. McSwiggen

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 29
3
Evaluating phase separation in live cells: diagnosis, caveats, and functional consequencesbreakdown →
420
4 26
5 204
6 1
7
RNA polymerase II clustering through carboxy-terminal domain phase separationbreakdown →
408
8 29
9 7
10 5
11 59
12 201
13 17
14 1
15 1
16 7

About David T. McSwiggen

David T. McSwiggen is a scholar working on Molecular Biology, Biophysics and Hematology, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Aging (24 citations) and Biophysics (53 citations). David T. McSwiggen has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Xavier Darzacq, Robert Tjian, Mustafa Mir, Hervé Marie-Nelly, Claire Dugast‐Darzacq, Anders S. Hansen, Patrick Cramer, Goran Kokić, Markus Zweckstetter and Gina M. Dailey. Their work appears in journals such as Science, Genes & Development and Molecular Cell.

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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