Christopher Amourda

544 citations
12 papers · 325 · h-index 8

Impact in

  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics

Papers in

Christopher Amourda

12 papers receiving 324 citations

Peers

Christopher Amourda
Comparison fields: 5 of 58
  • Cell Biology 126
  • Aging 13
  • Cellular and Molecular Neuroscience 84
  • Molecular Biology 187
  • Biophysics 12
Replace Anna C.-C. Jang with:
Anna C.-C. Jang Taiwan
Ivana Viktorinová Germany
Shinya Matsuda Switzerland
Gabriele Putz Germany
James P. Mahaffey United States
Jérémy Sallé France
Caroline Médioni France
Corinne Benassayag France
Ralf Pflanz Germany
Simon Restrepo Switzerland
Christopher Amourda relative to Anna C.-C. Jang Taiwan Anna C.-C. Jang's profile →
Citations per field
00.5×1.5×2.5×
Anna C.-C. Jang · 1×
Citations per year

Countries citing papers authored by Christopher Amourda

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Amourda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Amourda. 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 Christopher Amourda. The network helps show where Christopher Amourda may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher Amourda, 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 Christopher Amourda Line = papers co-authored together Christopher Amourda links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201791
2 201774
3 202038
4 201833
5 201026
6 201823
7 202219
8 20179
9 20206
10 20073
11 20172
12 20171

About Christopher Amourda

Christopher Amourda is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Ecology, Cell Biology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 325 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (6 papers), Physiological and biochemical adaptations (3 papers), Cellular Mechanics and Interactions (3 papers), RNA Research and Splicing (2 papers), Animal Behavior and Reproduction (2 papers), Neurobiology and Insect Physiology Research (2 papers), RNA regulation and disease (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cell Biology (126 citations), Aging (13 citations), Cellular and Molecular Neuroscience (84 citations), Molecular Biology (187 citations) and Biophysics (12 citations). Christopher Amourda has collaborated with scholars based in Singapore, Germany and France. Frequent co-authors include Timothy E. Saunders, Murat Shagirov, Yusuke Hara, Zijun Sun, Yusuke Toyama, Nicholas S. Tolwinski, Anqi Huang, Christen K. Mirth, David Garfield and Pierre Poulain. Their work appears in journals such as Nucleic Acids Research, Mechanisms of Development, Scientific Reports, Nature Cell Biology and Journal of The Royal Society Interface.

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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