Alexander J. Ninfa
- Genetics top 0.2%
- Bacterial Genetics and Biotechnology 56
- Biochemistry top 0.5%
- Amino Acid Enzymes and Metabolism 19
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms 24
- Gene Regulatory Network Analysis 12
- Microbial Metabolic Engineering and Bioproduction 11
- Fungal and yeast genetics research 10
- Bacterial biofilms and quorum sensing 6
- Endocrinology top 1%
- Molecular Medicine top 2%
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- Enzyme Structure and Function 22
- Co-authors
- Ann StockPeng JiangMariette R. AtkinsonJeff StockJeffry B. StockBoris MagasanikM R AtkinsonJames A. Peliska
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (7 papers)Journal of Biological Chemistry (6 papers)
- Partner nations
- United StatesArgentinaIsrael
In The Last Decade
Alexander J. Ninfa
84 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Genetics 4.1k
- Biochemistry 750
- Molecular Biology 6.3k
- Endocrinology 363
- Molecular Medicine 280
Countries citing papers authored by Alexander J. Ninfa
This map shows the geographic impact of Alexander J. Ninfa'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 Alexander J. Ninfa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander J. Ninfa more than expected).
Fields of papers citing papers by Alexander J. Ninfa
This network shows the impact of papers produced by Alexander J. Ninfa. 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 Alexander J. Ninfa. The network helps show where Alexander J. Ninfa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexander J. Ninfa, 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 | 2010 | 31 | |
| 2 | 2008 | 385 | |
| 3 | 2008 | 26 | |
| 4 | 2007 | 13 | |
| 5 | 2005 | 213 | |
| 6 | 2004 | 35 | |
| 7 | 2004 | 26 | |
| 8 | 2004 | 39 | |
| 9 | 2003 | 5 | |
| 10 | Development of Genetic Circuitry Exhibiting Toggle Switch or Oscillatory Behavior in Escherichia colibreakdown → | 2003 | 541 |
| 11 | 2003 | 31 | |
| 12 | Physiological role of the GlnK signal transduction protein of Escherichia coli | 2002 | 1 |
| 13 | 1998 | 111 | |
| 14 | 1998 | 29 | |
| 15 | 1997 | 9 | |
| 16 | 1996 | 114 | |
| 17 | 1995 | 176 | |
| 18 | 1993 | 62 | |
| 19 | 1991 | 32 | |
| 20 | 1988 | 66 |
About Alexander J. Ninfa
Alexander J. Ninfa is a scholar working on Biochemistry, Genetics and Molecular Biology, having authored 84 papers that have together received 8.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (56 papers), RNA and protein synthesis mechanisms (24 papers), Enzyme Structure and Function (22 papers), Amino Acid Enzymes and Metabolism (19 papers), Gene Regulatory Network Analysis (12 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Fungal and yeast genetics research (10 papers) and Bacterial biofilms and quorum sensing (6 papers). The work is most often cited by research in Genetics (4.1k citations), Biochemistry (750 citations) and Molecular Biology (6.3k citations). Alexander J. Ninfa has collaborated with scholars based in United States, Argentina and Israel. Frequent co-authors include Ann Stock, Peng Jiang, Mariette R. Atkinson, Jeff Stock, Jeffry B. Stock, Boris Magasanik, M R Atkinson, James A. Peliska, Domitilla Del Vecchio and Eduardo D. Sontag. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.