Shawn M. Sweeney

5.5k citations
16 papers · 1.8k indexed · 1 hit paper · h-index 11
Topics
Cancer Genomics and Diagnostics (4 papers)Cell Adhesion Molecules Research (4 papers)Angiogenesis and VEGF in Cancer (3 papers)

In The Last Decade

Shawn M. Sweeney

16 papers receiving 1.8k citations

Hit Papers

Mapping the Ligand-binding Sites and Disease-associated M...20022026201020182002200400600

Peers

Shawn M. Sweeney
Comparison fields: 5 of 125
  • Molecular Biology 691
  • Biomaterials 443
  • Cell Biology 358
  • Immunology and Allergy 346
  • Cancer Research 317
Replace Jarmo Käpylä with:
Jarmo Käpylä Finland
Ruggero Tenni Italy
Atsushi Utani Japan
Jürgen Rauterberg Germany
Demitrios H. Vynios Greece
Hongmin Tu Finland
Jürgen Brinckmann Germany
Purva Singh United States
Jean‐Claude Monboisse France
Hisae Hori Japan
Shawn M. Sweeney relative to Jarmo Käpylä Finland Jarmo Käpylä's profile →
Citations per field
00.5×1.5×
Jarmo Käpylä · 1×
Citations per year

Countries citing papers authored by Shawn M. Sweeney

Since Specialization
Citations

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

Fields of papers citing papers by Shawn M. Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn M. Sweeney. 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 Shawn M. Sweeney. The network helps show where Shawn M. Sweeney may publish in the future.

Co-authorship network of co-authors of Shawn M. Sweeney

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn M. Sweeney. A scholar is included among the top collaborators of Shawn M. Sweeney 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 Shawn M. Sweeney. Shawn M. Sweeney 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 1
3 49
4 1
5 25
6 181
7 224
8 89
9 119
10 274
11
Mapping the Ligand-binding Sites and Disease-associated Mutations on the Most Abundant Protein in the Human, Type I Collagenbreakdown →
676
12 58
13 22
14 90
15 1
16 2

About Shawn M. Sweeney

Shawn M. Sweeney is a scholar working on Immunology and Allergy, Cancer Research and Internal Medicine, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Cell Adhesion Molecules Research (4 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Immunology and Allergy (346 citations), Biomaterials (443 citations) and Cell Biology (358 citations). Shawn M. Sweeney has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include James D. San Antonio, Leena Ala‐Kokko, Gloria A. Di Lullo, Jarmo Körkkö, Renato V. Iozzo, Maurizio Mongiat, Jian Fu, Gregg B. Fields, Bruno Calabretta and Paolo Salomoni. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

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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