N.O. Concha
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- S100 Proteins and Annexins 3
- Cell death mechanisms and regulation 3
- Epigenetics and DNA Methylation 2
-
- Synthesis and Catalytic Reactions 3
- Quinazolinone synthesis and applications 2
- Co-authors
- John Dedman (3 shared papers)Barbara A. Seaton (3 shared papers)Beth A. Rasmussen (2 shared papers)Osnat Herzberg (2 shared papers)Karen Bush (1 shared paper)Marcia A. Kaetzel (2 shared papers)Manal A. Swairjo (1 shared paper)J. W. Head (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Biochemistry (4 papers)PLoS ONE (2 papers)Acta Paediatrica (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
N.O. Concha
23 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 106
- Molecular Medicine 565
- Endocrinology 130
- Molecular Biology 1.2k
- Pharmacology 219
- Applied Microbiology and Biotechnology 23
Countries citing papers authored by N.O. Concha
This map shows the geographic impact of N.O. Concha'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 N.O. Concha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.O. Concha more than expected).
Fields of papers citing papers by N.O. Concha
This network shows the impact of papers produced by N.O. Concha. 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 N.O. Concha. The network helps show where N.O. Concha may publish in the future.
Co-authors
The 25 scholars most cited alongside N.O. Concha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 320 | |
| 2 | 2000 | 279 | |
| 3 | 1995 | 263 | |
| 4 | 2014 | 218 | |
| 5 | 2002 | 176 | |
| 6 | 1993 | 170 | |
| 7 | 1992 | 92 | |
| 8 | 2011 | 91 | |
| 9 | 2002 | 90 | |
| 10 | 1994 | 75 | |
| 11 | 2013 | 66 | |
| 12 | 2015 | 43 | |
| 13 | 1997 | 41 | |
| 14 | 2002 | 41 | |
| 15 | 2009 | 40 | |
| 16 | 2009 | 34 | |
| 17 | 2009 | 21 | |
| 18 | 2010 | 13 | |
| 19 | 2009 | 12 | |
| 20 | 2001 | 3 |
About N.O. Concha
N.O. Concha is a scholar working on Molecular Biology, Organic Chemistry, Cancer Research, Infectious Diseases and Molecular Medicine, having authored 23 papers that have together received 2.1k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (3 papers), Cell death mechanisms and regulation (3 papers), Antibiotic Resistance in Bacteria (3 papers), Synthesis and Catalytic Reactions (3 papers), Quinazolinone synthesis and applications (2 papers), HIV/AIDS drug development and treatment (2 papers), Computational Drug Discovery Methods (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Molecular Medicine (565 citations), Endocrinology (130 citations), Molecular Biology (1.2k citations), Pharmacology (219 citations) and Applied Microbiology and Biotechnology (23 citations). N.O. Concha has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John Dedman, Barbara A. Seaton, Beth A. Rasmussen, Osnat Herzberg, Karen Bush, Marcia A. Kaetzel, Manal A. Swairjo, J. W. Head, M. A. Kaetzel and Hongwei Qi. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Biochemistry, PLoS ONE, Acta Paediatrica and Molecular Pharmacology.
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.