Daniel J. Macaya
Impact in
- Bioengineering top 1%
- Analytical Chemistry and Sensors
- Polymers and Plastics top 2%
- Conducting polymers and applications
Papers in
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- Analytical Chemistry and Sensors 4
-
- Electrochemical sensors and biosensors 3
- Co-authors
- Myron Spector (3 shared papers)George G. Malliaras (4 shared papers)Maria Nikolou (3 shared papers)John A. DeFranco (3 shared papers)Seiichi Takamatsu (2 shared papers)Daniel A. Bernards (2 shared papers)Róisı́n M. Owens (3 shared papers)Kazuhide Hayakawa (1 shared paper)
- Journals
- Advanced Functional Materials (1 paper)Biomaterials (1 paper)Sensors and Actuators B Chemical (1 paper)Lab on a Chip (1 paper)Sensors (1 paper)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Daniel J. Macaya
11 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Bioengineering 348
- Polymers and Plastics 536
- Molecular Medicine 108
- Electrochemistry 90
- Developmental Neuroscience 53
Countries citing papers authored by Daniel J. Macaya
This map shows the geographic impact of Daniel J. Macaya'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 Daniel J. Macaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Macaya more than expected).
Fields of papers citing papers by Daniel J. Macaya
This network shows the impact of papers produced by Daniel J. Macaya. 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 Daniel J. Macaya. The network helps show where Daniel J. Macaya may publish in the future.
Co-authors
The 19 scholars most cited alongside Daniel J. Macaya, 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 | 2007 | 362 | |
| 2 | 2012 | 240 | |
| 3 | 2006 | 142 | |
| 4 | 2009 | 103 | |
| 5 | 2011 | 101 | |
| 6 | 2008 | 68 | |
| 7 | 2013 | 61 | |
| 8 | 2010 | 46 | |
| 9 | 2003 | 12 | |
| 10 | 2001 | 11 | |
| 11 | 2007 | 1 | |
| 12 | 2002 | 0 |
About Daniel J. Macaya
Daniel J. Macaya is a scholar working on Bioengineering, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Polymers and Plastics and Pathology and Forensic Medicine, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (4 papers), Nerve injury and regeneration (3 papers), Conducting polymers and applications (3 papers), Electrochemical sensors and biosensors (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Spinal Cord Injury Research (2 papers), Fault Detection and Control Systems (2 papers) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Bioengineering (348 citations), Polymers and Plastics (536 citations), Molecular Medicine (108 citations), Electrochemistry (90 citations) and Developmental Neuroscience (53 citations). Daniel J. Macaya has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Myron Spector, George G. Malliaras, Maria Nikolou, John A. DeFranco, Seiichi Takamatsu, Daniel A. Bernards, Róisı́n M. Owens, Kazuhide Hayakawa, Ken Arai and Sang Yoon Yang. Their work appears in journals such as Advanced Functional Materials, Biomaterials, Sensors and Actuators B Chemical, Lab on a Chip and Sensors.
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.