Bridget K. Wagner

10.8k citations
83 papers · 5.7k indexed · 3 hit papers · h-index 34
Topics
Pancreatic function and diabetes (28 papers)Computational Drug Discovery Methods (13 papers)Genetics and Neurodevelopmental Disorders (9 papers)

In The Last Decade

Bridget K. Wagner

82 papers receiving 5.6k citations

Hit Papers

A Single-Cell Transcriptomic Map of the Human and Mouse P...2013202620172021201620132019250500750

Peers

Bridget K. Wagner
Comparison fields: 5 of 132
  • Molecular Biology 3.6k
  • Surgery 990
  • Cancer Research 747
  • Genetics 746
  • Organic Chemistry 628
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Bridget K. Wagner relative to Ajit Jadhav United States Ajit Jadhav's profile →
Citations per field
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Ajit Jadhav · 1×
Citations per year

Countries citing papers authored by Bridget K. Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Bridget K. Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bridget K. Wagner. 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 Bridget K. Wagner. The network helps show where Bridget K. Wagner may publish in the future.

Co-authorship network of co-authors of Bridget K. Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Bridget K. Wagner. A scholar is included among the top collaborators of Bridget K. Wagner 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 Bridget K. Wagner. Bridget K. Wagner 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
#WorkIndexed citations
1 2
2 9
3 40
4 3
5 6
6 33
7 11
8 72
9 6
10 22
11 26
12 150
13
A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structurebreakdown →
913
14 11
15 18
16 1
17 44
18 280
19 58
20 7

About Bridget K. Wagner

Bridget K. Wagner is a scholar working on Biophysics, Physiology and Computational Theory and Mathematics, having authored 83 papers that have together received 5.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (28 papers), Computational Drug Discovery Methods (13 papers) and Genetics and Neurodevelopmental Disorders (9 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Biophysics (287 citations) and Cancer Research (747 citations). Bridget K. Wagner has collaborated with scholars based in United States, Austria and Denmark. Frequent co-authors include Paul A. Clemons, Vlado Dančík, Stuart L. Schreiber, Monica Schenone, Amedeo Vetere, Alykhan F. Shamji, Douglas A. Melton, Samuel L. Wolock, Shai S. Shen-Orr and Renaud Gaujoux. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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