Danielle L. Swaney

17.1k total citations · 2 hit papers
65 papers, 4.4k citations indexed

About

Danielle L. Swaney is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Danielle L. Swaney has authored 65 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 18 papers in Spectroscopy and 10 papers in Epidemiology. Recurrent topics in Danielle L. Swaney's work include Advanced Proteomics Techniques and Applications (18 papers), Mass Spectrometry Techniques and Applications (14 papers) and Ubiquitin and proteasome pathways (8 papers). Danielle L. Swaney is often cited by papers focused on Advanced Proteomics Techniques and Applications (18 papers), Mass Spectrometry Techniques and Applications (14 papers) and Ubiquitin and proteasome pathways (8 papers). Danielle L. Swaney collaborates with scholars based in United States, United Kingdom and Canada. Danielle L. Swaney's co-authors include Joshua J. Coon, Craig D. Wenger, Nevan J. Krogan, Graeme C. McAlister, Judit Villén, Pedro Beltrão, Jae C. Schwartz, John E. P. Syka, A. John Rush and Stanley Fields and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Danielle L. Swaney

60 papers receiving 4.4k citations

Hit Papers

Global analysis of phosphorylation and ubiquitylation cro... 2013 2026 2017 2021 2013 2019 100 200 300 400

Peers

Danielle L. Swaney
Comparison fields: 5 of 125
  • Molecular Biology 3.4k
  • Spectroscopy 1.6k
  • Cell Biology 471
  • Oncology 370
  • Epidemiology 267
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Paul J. Boersema Netherlands View profile →
Citations per field, relative to Danielle L. Swaney
Danielle L. Swaney · 1×
Citations per year, relative to Danielle L. Swaney
Danielle L. Swaney · 1×

Countries citing papers authored by Danielle L. Swaney

Since Specialization
Citations

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

Fields of papers citing papers by Danielle L. Swaney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle L. Swaney. 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 Danielle L. Swaney. The network helps show where Danielle L. Swaney may publish in the future.

Co-authorship network of co-authors of Danielle L. Swaney

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 1
5 2
6 1
7 4
8 11
9 19
10 3
11 17
12 20
13 17
14 20
15 30
16 12
17
The functional landscape of the human phosphoproteome breakdown →
300
18 63
19 58
20 345

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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