Moises Hassan
Impact in
-
- Computational Drug Discovery Methods
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography
Papers in
-
- Chemical Synthesis and Analysis 5
- Glycosylation and Glycoproteins Research 1
-
- Computational Drug Discovery Methods 8
- Co-authors
- Marvin Waldman (5 shared papers)Robert D. Brown (3 shared papers)David Rogers (2 shared papers)Judith C. Hempel (1 shared paper)Murray Goodman (3 shared papers)Hong Li (1 shared paper)A. Gururaj Rao (1 shared paper)Victoria A. Roberts (1 shared paper)
- Journals
- Journal of Molecular Graphics and Modelling (3 papers)Molecular Diversity (2 papers)Protein Engineering Design and Selection (1 paper)Tetrahedron (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United States
In The Last Decade
Moises Hassan
12 papers receiving 420 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 296
- Spectroscopy 95
- Molecular Biology 272
- Pharmacology 28
- Environmental Chemistry 33
Countries citing papers authored by Moises Hassan
This map shows the geographic impact of Moises Hassan'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 Moises Hassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moises Hassan more than expected).
Fields of papers citing papers by Moises Hassan
This network shows the impact of papers produced by Moises Hassan. 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 Moises Hassan. The network helps show where Moises Hassan may publish in the future.
Co-authors
The 17 scholars most cited alongside Moises Hassan, 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 | 2006 | 150 | |
| 2 | 1996 | 92 | |
| 3 | 2000 | 50 | |
| 4 | 1999 | 48 | |
| 5 | 1985 | 31 | |
| 6 | 1986 | 23 | |
| 7 | 2000 | 21 | |
| 8 | 1994 | 17 | |
| 9 | 2000 | 16 | |
| 10 | 2022 | 7 | |
| 11 | 1988 | 6 | |
| 12 | 1998 | 4 | |
| 13 | 2007 | 0 |
About Moises Hassan
Moises Hassan is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Organic Chemistry and Control and Systems Engineering, having authored 13 papers that have together received 465 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Analytical Chemistry and Chromatography (5 papers), Chemical Synthesis and Analysis (5 papers), Process Optimization and Integration (2 papers), Click Chemistry and Applications (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Molecular spectroscopy and chirality (1 paper). The work is most often cited by research in Computational Theory and Mathematics (296 citations), Spectroscopy (95 citations), Molecular Biology (272 citations), Pharmacology (28 citations) and Environmental Chemistry (33 citations). Moises Hassan has collaborated with scholars based in United States. Frequent co-authors include Marvin Waldman, Robert D. Brown, David Rogers, Judith C. Hempel, Murray Goodman, Hong Li, A. Gururaj Rao, Hong Li, Victoria A. Roberts and William A. Shirley. Their work appears in journals such as Journal of Molecular Graphics and Modelling, Molecular Diversity, Protein Engineering Design and Selection, Tetrahedron and Journal of the American Chemical Society.
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.