Stephen P. A. Fodor
- Molecular Biology top 0.2%
- Advanced biosensing and bioanalysis techniques 14
- Gene expression and cancer classification 10
- RNA and protein synthesis mechanisms 9
- Chemical Synthesis and Analysis 7
- Biophysics top 0.5%
- Genetics top 1%
- Organic Chemistry top 1%
- Cancer Research top 2%
-
- Photoreceptor and optogenetics research 10
- Neuroscience and Neuropharmacology Research 6
-
- Mass Spectrometry Techniques and Applications 6
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- David J. LockhartT GingerasDennis SolasRobert J. LipshutzMark A. GallopEric M. GordonRonald W. BarrettWilliam J. Dower
- Cited by
- Molecular BiologyBiophysicsGenetics
- Journals
- Nature (1 paper)Science (6 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Stephen P. A. Fodor
52 papers receiving 12.5k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Molecular Biology 10.3k
- Biophysics 374
- Genetics 1.5k
- Organic Chemistry 1.5k
- Cancer Research 792
Countries citing papers authored by Stephen P. A. Fodor
This map shows the geographic impact of Stephen P. A. Fodor'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 Stephen P. A. Fodor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen P. A. Fodor more than expected).
Fields of papers citing papers by Stephen P. A. Fodor
This network shows the impact of papers produced by Stephen P. A. Fodor. 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 Stephen P. A. Fodor. The network helps show where Stephen P. A. Fodor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen P. A. Fodor, 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 | 2015 | 329 | |
| 2 | 2014 | 68 | |
| 3 | 2004 | 317 | |
| 4 | 2003 | 420 | |
| 5 | 2001 | 75 | |
| 6 | 1999 | 288 | |
| 7 | High density synthetic oligonucleotide arraysbreakdown → | 1999 | 1618 |
| 8 | 1998 | 93 | |
| 9 | 1998 | 22 | |
| 10 | 1998 | 82 | |
| 11 | 1996 | 405 | |
| 12 | 1994 | 59 | |
| 13 | Applications of Combinatorial Technologies to Drug Discovery. 1. Background and Peptide Combinatorial Librariesbreakdown → | 1994 | 952 |
| 14 | Multiplexed biochemical assays with biological chipsbreakdown → | 1993 | 530 |
| 15 | 1991 | 15 | |
| 16 | 1990 | 9 | |
| 17 | 1989 | 23 | |
| 18 | 1989 | 51 | |
| 19 | 1988 | 224 | |
| 20 | 1987 | 36 |
About Stephen P. A. Fodor
Stephen P. A. Fodor is a scholar working on Biophysics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 13.4k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (14 papers), Photoreceptor and optogenetics research (10 papers), Gene expression and cancer classification (10 papers), RNA and protein synthesis mechanisms (9 papers), Chemical Synthesis and Analysis (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Mass Spectrometry Techniques and Applications (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Molecular Biology (10.3k citations), Biophysics (374 citations) and Genetics (1.5k citations). Stephen P. A. Fodor has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include David J. Lockhart, T Gingeras, Dennis Solas, Robert J. Lipshutz, Mark A. Gallop, Eric M. Gordon, Ronald W. Barrett, William J. Dower, Amy T. Lu and Lubert Stryer. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.