Casey A. Gifford

4.8k total citations · 1 hit paper
21 papers, 2.5k citations indexed

About

Casey A. Gifford is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Casey A. Gifford has authored 21 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Surgery. Recurrent topics in Casey A. Gifford's work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers) and Congenital heart defects research (4 papers). Casey A. Gifford is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers) and Congenital heart defects research (4 papers). Casey A. Gifford collaborates with scholars based in United States, United Kingdom and Italy. Casey A. Gifford's co-authors include John J. Mekalanos, Joseph D. Mougous, M.E. Cuff, Stefan Raunser, G. Joachimiak, Thomas Walz, Min Zhou, Aimee Shen, Andrew L. Goodman and A. Joachimiak and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Casey A. Gifford

20 papers receiving 2.5k citations

Hit Papers

A Virulence Locus of Pseudomonas aeruginosa Encodes a Pro... 2006 2026 2012 2019 2006 250 500 750

Peers

Casey A. Gifford
Comparison fields: 5 of 114
  • Molecular Biology 1.7k
  • Endocrinology 824
  • Genetics 477
  • Molecular Medicine 373
  • Plant Science 179
Replace Anne L. Bishop with:
Anne L. Bishop United States
Itaru Yanagihara Japan
Tung B. K. Le United Kingdom
Valentina Donati Italy
Mathieu Coureuil France
Verena Pfeiffer Germany
Brent Berwin United States
Siying Ye Australia
Xiaolin Tian Canada
Jon R. Armstrong United States
Anne L. Bishop United States View profile →
Citations per field, relative to Casey A. Gifford
Casey A. Gifford · 1×
Citations per year, relative to Casey A. Gifford
Casey A. Gifford · 1×

Countries citing papers authored by Casey A. Gifford

Since Specialization
Citations

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

Fields of papers citing papers by Casey A. Gifford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey A. Gifford. 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 Casey A. Gifford. The network helps show where Casey A. Gifford may publish in the future.

Co-authorship network of co-authors of Casey A. Gifford

This figure shows the co-authorship network connecting the top 25 collaborators of Casey A. Gifford. A scholar is included among the top collaborators of Casey A. Gifford 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 Casey A. Gifford. Casey A. Gifford 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 0
2 4
3 5
4 14
5 6
6 66
7 127
8 94
9 169
10 120
11 52
12 36
13 357
14 151
15 113
16 21
17 2
18 21
19 253
20
A Virulence Locus of Pseudomonas aeruginosa Encodes a Protein Secretion Apparatus breakdown →
865

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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