Ori Kalid
Impact in
-
- Computational Drug Discovery Methods
- Physiology top 10%
Papers in ⓘ
-
- Computational Drug Discovery Methods 4
- Co-authors
- Dora Toledo Warshaviak (4 shared papers)Sharon Shacham (6 shared papers)G. Golan (3 shared papers)Yael Marantz (4 shared papers)Kenneth Borrelli (1 shared paper)Kai Zhu (1 shared paper)Nir Ben‐Tal (2 shared papers)Merav Fichman (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (3 papers)Journal of Computer-Aided Molecular Design (2 papers)Molecular Cancer Therapeutics (1 paper)Scientific Reports (1 paper)Current Topics in Medicinal Chemistry (1 paper)
- Partner nations
- United StatesIsraelIran
In The Last Decade
Ori Kalid
15 papers receiving 675 citations
Peers
Comparison fields: 5 of 76
- Computational Theory and Mathematics 194
- Physiology 35
- Molecular Biology 513
- Cellular and Molecular Neuroscience 90
- Pulmonary and Respiratory Medicine 150
Countries citing papers authored by Ori Kalid
This map shows the geographic impact of Ori Kalid'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 Ori Kalid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ori Kalid more than expected).
Fields of papers citing papers by Ori Kalid
This network shows the impact of papers produced by Ori Kalid. 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 Ori Kalid. The network helps show where Ori Kalid may publish in the future.
Co-authors
The 25 scholars most cited alongside Ori Kalid, 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 | 2014 | 114 | |
| 2 | 2004 | 110 | |
| 3 | 2004 | 84 | |
| 4 | 2010 | 73 | |
| 5 | 2012 | 64 | |
| 6 | 2012 | 62 | |
| 7 | 2020 | 45 | |
| 8 | 2012 | 42 | |
| 9 | 2010 | 29 | |
| 10 | 2010 | 24 | |
| 11 | 2015 | 23 | |
| 12 | 2009 | 14 | |
| 13 | 2022 | 4 | |
| 14 | 2014 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2014 | 0 |
About Ori Kalid
Ori Kalid is a scholar working on Computational Theory and Mathematics, Physiology, Molecular Biology, Organic Chemistry and Oncology, having authored 16 papers that have together received 690 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Click Chemistry and Applications (4 papers), Nuclear Structure and Function (3 papers), Receptor Mechanisms and Signaling (3 papers), Chemical Synthesis and Analysis (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cystic Fibrosis Research Advances (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (194 citations), Physiology (35 citations), Molecular Biology (513 citations), Cellular and Molecular Neuroscience (90 citations) and Pulmonary and Respiratory Medicine (150 citations). Ori Kalid has collaborated with scholars based in United States, Israel and Iran. Frequent co-authors include Dora Toledo Warshaviak, Sharon Shacham, G. Golan, Yael Marantz, Kenneth Borrelli, Kai Zhu, Nir Ben‐Tal, Merav Fichman, Boaz Inbal and Oren M. Becker. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Computer-Aided Molecular Design, Molecular Cancer Therapeutics, Scientific Reports and Current Topics in Medicinal 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.