Sándor Lovas
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones
Papers in
-
- Protein Structure and Dynamics 34
- Chemical Synthesis and Analysis 32
- Receptor Mechanisms and Signaling 10
- Glycosylation and Glycoproteins Research 10
- DNA and Nucleic Acid Chemistry 9
- Spectroscopy 20
- Molecular spectroscopy and chirality 10
- Co-authors
- Richard F. MurphyLászló ÖtvösBarry A. CondieRalf HoffmannGoran KragolJ. Michael ConlonGyörgyi VáradiStacia A. Sower
- Journals
- Biopolymers (8 papers)Peptides (7 papers)The Journal of Physical Chemistry B (6 papers)Journal of Computational Chemistry (6 papers)Proteins Structure Function and Bioinformatics (4 papers)
- Partner nations
- United StatesHungaryAustralia
In The Last Decade
Sándor Lovas
125 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 132
- Microbiology 674
- Reproductive Medicine 235
- Molecular Biology 1.8k
- Physiology 106
- Endocrine and Autonomic Systems 138
Countries citing papers authored by Sándor Lovas
This map shows the geographic impact of Sándor Lovas'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 Sándor Lovas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sándor Lovas more than expected).
Fields of papers citing papers by Sándor Lovas
This network shows the impact of papers produced by Sándor Lovas. 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 Sándor Lovas. The network helps show where Sándor Lovas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sándor Lovas, 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 | 2024 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2021 | 8 | |
| 4 | 2021 | 30 | |
| 5 | 2019 | 7 | |
| 6 | 2019 | 6 | |
| 7 | 2014 | 104 | |
| 8 | 2010 | 32 | |
| 9 | 2009 | 27 | |
| 10 | 2008 | 5 | |
| 11 | 2007 | 5 | |
| 12 | 2006 | 4 | |
| 13 | 2004 | 9 | |
| 14 | 2003 | 18 | |
| 15 | 2002 | 2 | |
| 16 | 2001 | 15 | |
| 17 | 2001 | 7 | |
| 18 | 1999 | 7 | |
| 19 | 1993 | 16 | |
| 20 | 1993 | 209 |
About Sándor Lovas
Sándor Lovas is a scholar working on Molecular Biology, Spectroscopy, Cellular and Molecular Neuroscience, Microbiology and Developmental Biology, having authored 126 papers that have together received 3.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (34 papers), Chemical Synthesis and Analysis (32 papers), Neuropeptides and Animal Physiology (17 papers), Enzyme Structure and Function (13 papers), Receptor Mechanisms and Signaling (10 papers), Glycosylation and Glycoproteins Research (10 papers), Molecular spectroscopy and chirality (10 papers) and DNA and Nucleic Acid Chemistry (9 papers). The work is most often cited by research in Microbiology (674 citations), Reproductive Medicine (235 citations), Molecular Biology (1.8k citations), Physiology (106 citations) and Endocrine and Autonomic Systems (138 citations). Sándor Lovas has collaborated with scholars based in United States, Hungary and Australia. Frequent co-authors include Richard F. Murphy, László Ötvös, Barry A. Condie, Ralf Hoffmann, Goran Kragol, J. Michael Conlon, Györgyi Váradi, Stacia A. Sower, Y. C. Chiang and Philippe Bulet. Their work appears in journals such as Biopolymers, Peptides, The Journal of Physical Chemistry B, Journal of Computational Chemistry and Proteins Structure Function and Bioinformatics.
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.