Eric Kawashima
- Physiology top 0.02%
- Adenosine and Purinergic Signaling 7
- Endocrine and Autonomic Systems top 0.5%
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- Neuropeptides and Animal Physiology 12
- Immunology top 2%
- Neurology top 2%
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- Receptor Mechanisms and Signaling 12
- DNA and Nucleic Acid Chemistry 5
- Glycosylation and Glycoproteins Research 3
- RNA Interference and Gene Delivery 3
- RNA and protein synthesis mechanisms 3
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- Bacterial Genetics and Biotechnology 6
- Co-authors
- Gary BuellAnnmarie SurprenantR. Alan NorthGinetta ColloS. NeidhartR. Bruce WallaceKeiichi ItakuraTadaaki Hirose
- Journals
- Nucleic Acids Research (7 papers)Proceedings of the National Academy of Sciences (3 papers)FEBS Letters (3 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Eric Kawashima
46 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Physiology 2.7k
- Endocrine and Autonomic Systems 1.3k
- Cellular and Molecular Neuroscience 1.0k
- Immunology 953
- Neurology 356
Countries citing papers authored by Eric Kawashima
This map shows the geographic impact of Eric Kawashima'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 Kawashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Kawashima more than expected).
Fields of papers citing papers by Eric Kawashima
This network shows the impact of papers produced by Eric Kawashima. 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 Kawashima. The network helps show where Eric Kawashima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Kawashima, 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 | 1999 | 104 | |
| 2 | A novel and efficient method for the stable expression of heteromeric ion channels in mammalian cells. | 1998 | 21 |
| 3 | 1997 | 435 | |
| 4 | Cloning OF P2X5 and P2X6 receptors and the distribution and properties of an extended family of ATP-gated ion channelsbreakdown → | 1996 | 786 |
| 5 | 1995 | 53 | |
| 6 | 1994 | 17 | |
| 7 | 1994 | 32 | |
| 8 | 1994 | 59 | |
| 9 | 1993 | 19 | |
| 10 | 1993 | 12 | |
| 11 | 1993 | 50 | |
| 12 | 1993 | 43 | |
| 13 | 1992 | 50 | |
| 14 | 1992 | 91 | |
| 15 | 1991 | 30 | |
| 16 | 1990 | 15 | |
| 17 | 1989 | 45 | |
| 18 | 1988 | 53 | |
| 19 | 1987 | 61 | |
| 20 | 1987 | 18 |
About Eric Kawashima
Eric Kawashima is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Immunology and Endocrine and Autonomic Systems, having authored 46 papers that have together received 6.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (12 papers), Adenosine and Purinergic Signaling (7 papers), Bacterial Genetics and Biotechnology (6 papers), DNA and Nucleic Acid Chemistry (5 papers), Glycosylation and Glycoproteins Research (3 papers), RNA Interference and Gene Delivery (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Physiology (2.7k citations), Endocrine and Autonomic Systems (1.3k citations), Cellular and Molecular Neuroscience (1.0k citations), Immunology (953 citations) and Neurology (356 citations). Eric Kawashima has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Gary Buell, Annmarie Surprenant, R. Alan North, Ginetta Collo, S. Neidhart, R. Bruce Wallace, Keiichi Itakura, Tadaaki Hirose, André Chollet and Emilio Merlo‐Pich. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, FEBS Letters, Regulatory Peptides and Science.
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.