Eric Macia
- Cell Biology top 0.5%
- Cellular transport and secretion 16
- Endoplasmic Reticulum Stress and Disease 3
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism 3
- Molecular Biology top 2%
- Retinal Development and Disorders 6
- Lipid Membrane Structure and Behavior 5
- Protein Kinase Regulation and GTPase Signaling 5
- Receptor Mechanisms and Signaling 3
- Nicotinic Acetylcholine Receptors Study 3
- Immunology and Allergy top 5%
- Co-authors
- Tomas KirchhausenRamiro MassolChristian BrunnerEmmanuel BoucrotMarcelo EhrlichHenry E. PelishHelen L. YinJing Wang
- Journals
- Journal of Biological Chemistry (5 papers)Journal of Cell Science (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- FranceUnited StatesChina
In The Last Decade
Eric Macia
26 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cell Biology 1.8k
- Physiology 315
- Molecular Biology 2.7k
- Immunology and Allergy 152
- Cellular and Molecular Neuroscience 377
Countries citing papers authored by Eric Macia
This map shows the geographic impact of Eric Macia'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 Eric Macia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Macia more than expected).
Fields of papers citing papers by Eric Macia
This network shows the impact of papers produced by Eric Macia. 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 Eric Macia. The network helps show where Eric Macia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Macia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 21 | |
| 2 | 2021 | 3 | |
| 3 | 2019 | 3 | |
| 4 | 2019 | 49 | |
| 5 | 2014 | 24 | |
| 6 | 2012 | 35 | |
| 7 | 2011 | 39 | |
| 8 | 2010 | 64 | |
| 9 | 2008 | 122 | |
| 10 | 2008 | 364 | |
| 11 | 2008 | 44 | |
| 12 | 2007 | 138 | |
| 13 | Dynasore, a Cell-Permeable Inhibitor of Dynaminbreakdown → | 2006 | 1654 |
| 14 | 2005 | 88 | |
| 15 | 2005 | 130 | |
| 16 | 2003 | 450 | |
| 17 | 2003 | 138 | |
| 18 | 2001 | 50 | |
| 19 | 2001 | 61 | |
| 20 | 2000 | 81 |
About Eric Macia
Eric Macia is a scholar working on Cell Biology, Physiology and Sensory Systems, having authored 26 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cellular transport and secretion (16 papers), Retinal Development and Disorders (6 papers), Lipid Membrane Structure and Behavior (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Receptor Mechanisms and Signaling (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers) and Calcium signaling and nucleotide metabolism (3 papers). The work is most often cited by research in Cell Biology (1.8k citations), Physiology (315 citations) and Molecular Biology (2.7k citations). Eric Macia has collaborated with scholars based in France, United States and China. Frequent co-authors include Tomas Kirchhausen, Ramiro Massol, Christian Brunner, Emmanuel Boucrot, Marcelo Ehrlich, Henry E. Pelish, Helen L. Yin, Jing Wang, Michel Franco and Michael G. Roth. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cell Science, Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Scientific Reports.
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.