Amanda Capes‐Davis

2.3k citations
29 papers · 1.2k indexed · 1 hit paper · h-index 16

Impact in

Papers in

Amanda Capes‐Davis

27 papers receiving 1.1k citations

Hit Papers

Guidelines for the use of cell lines in biomedical research 2014 · 318 citations
3182014202620182022100200300

Peers

Amanda Capes‐Davis
Comparison fields: 5 of 135
  • Biophysics 89
  • Developmental Neuroscience 59
  • Cancer Research 169
  • Developmental Biology 21
  • Molecular Biology 592
Replace James Lee with:
James Lee United States
Christoph Ziegenhain Germany
Stephen Taylor United Kingdom
Yvonne Reid United States
Robin Ketteler United Kingdom
Martin Baumgartner Switzerland
Michael E. Rothenberg United States
Javad Nazarian United States
Joseph Papamatheakis Greece
Kai Tan United States
Amanda Capes‐Davis relative to James Lee United States James Lee's profile →
Citations per field
00.5×
James Lee · 1×
Citations per year

Countries citing papers authored by Amanda Capes‐Davis

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Capes‐Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda Capes‐Davis. 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 Amanda Capes‐Davis. The network helps show where Amanda Capes‐Davis may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Amanda Capes‐Davis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amanda Capes‐Davis Line = papers co-authored together Amanda Capes‐Davis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20243
3 202219
4 202114
5 20213
6 202113
7 202114
8 201950
9 201925
10 201921
11 201750
12 201736
13
Guidelines for the use of cell lines in biomedical research
Hit paper breakdown →
2014318
14 2010338
15 200437
16 200434
17 200216
18 200021
19 199931
20 19992

About Amanda Capes‐Davis

Amanda Capes‐Davis is a scholar working on Biophysics, Developmental Neuroscience, Microbiology, Molecular Biology and Cancer Research, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (7 papers), Virus-based gene therapy research (5 papers), Single-cell and spatial transcriptomics (4 papers), CAR-T cell therapy research (3 papers), Molecular Biology Techniques and Applications (3 papers), Congenital heart defects research (3 papers), Microtubule and mitosis dynamics (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Biophysics (89 citations), Developmental Neuroscience (59 citations), Cancer Research (169 citations), Developmental Biology (21 citations) and Molecular Biology (592 citations). Amanda Capes‐Davis has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include John R. Masters, R. Ian Freshney, Yvonne Reid, Roderick A.F. MacLeod, Arihiro Kohara, Hans G. Drexler, Yukio Nakamura, Roger R. Reddel, Maria Vias and Robin Lovell‐Badge. Their work appears in journals such as International Journal of Cancer, British Journal of Cancer, SLAS DISCOVERY, Scientometrics and Gene.

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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