Laura Lerner
Impact in
- Spectroscopy top 2%
- Advanced NMR Techniques and Applications
- Molecular spectroscopy and chirality
- Biophysics top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 14
- Protein Structure and Dynamics 5
-
- Carbohydrate Chemistry and Synthesis 8
- Co-authors
- Ad Bax (4 shared papers)Bruce R. Adams (5 shared papers)David A. Horita (6 shared papers)Philip J. Hajduk (6 shared papers)Dennis A. Torchia (3 shared papers)Peter A. Petillo (2 shared papers)Pavol Kováč (2 shared papers)Wanda Sicińska (2 shared papers)
- Journals
- Carbohydrate Research (7 papers)Journal of Magnetic Resonance Series A (5 papers)Biochemistry (3 papers)Journal of the American Chemical Society (3 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Laura Lerner
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Spectroscopy 373
- Biophysics 96
- Organic Chemistry 411
- Molecular Biology 839
- Cell Biology 195
Countries citing papers authored by Laura Lerner
This map shows the geographic impact of Laura Lerner'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 Laura Lerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Lerner more than expected).
Fields of papers citing papers by Laura Lerner
This network shows the impact of papers produced by Laura Lerner. 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 Laura Lerner. The network helps show where Laura Lerner may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Lerner, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 251 | |
| 2 | 1986 | 103 | |
| 3 | 1992 | 99 | |
| 4 | 1988 | 87 | |
| 5 | 1987 | 86 | |
| 6 | 1993 | 80 | |
| 7 | 1994 | 64 | |
| 8 | 2007 | 57 | |
| 9 | 2008 | 57 | |
| 10 | 1993 | 53 | |
| 11 | 1980 | 53 | |
| 12 | 1990 | 43 | |
| 13 | 1993 | 42 | |
| 14 | 1994 | 40 | |
| 15 | 1988 | 35 | |
| 16 | 1999 | 31 | |
| 17 | 1986 | 29 | |
| 18 | 1986 | 28 | |
| 19 | 1994 | 20 | |
| 20 | 2002 | 17 |
About Laura Lerner
Laura Lerner is a scholar working on Molecular Biology, Organic Chemistry, Spectroscopy, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Advanced NMR Techniques and Applications (8 papers), Carbohydrate Chemistry and Synthesis (8 papers), Proteoglycans and glycosaminoglycans research (8 papers), Molecular spectroscopy and chirality (5 papers), Protein Structure and Dynamics (5 papers), NMR spectroscopy and applications (5 papers) and Electron Spin Resonance Studies (4 papers). The work is most often cited by research in Spectroscopy (373 citations), Biophysics (96 citations), Organic Chemistry (411 citations), Molecular Biology (839 citations) and Cell Biology (195 citations). Laura Lerner has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Ad Bax, Bruce R. Adams, David A. Horita, Philip J. Hajduk, Dennis A. Torchia, Peter A. Petillo, Pavol Kováč, Wanda Sicińska, Stuart L. Cooper and Bettina Heidecker. Their work appears in journals such as Carbohydrate Research, Journal of Magnetic Resonance Series A, Biochemistry, Journal of the American Chemical Society 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.