Amit Meir
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Vibrio bacteria research studies 5
- Legionella and Acanthamoeba research 5
- Escherichia coli research studies 3
-
- Biotin and Related Studies 5
- Co-authors
- Gabriel Waksman (5 shared papers)Adam Redzej (2 shared papers)Catarina Felisberto‐Rodrigues (1 shared paper)Martina Trokter (1 shared paper)Marie S. Prevost (1 shared paper)Tiago R. D. Costa (1 shared paper)Aaron M. Ring (2 shared papers)Feimei Liu (2 shared papers)
- Journals
- Nature Communications (2 papers)Cellular Microbiology (1 paper)Journal of Combinatorial Theory Series B (1 paper)Journal of Structural Biology (1 paper)Journal of Graph Theory (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Amit Meir
21 papers receiving 1.3k citations
Amit Meir's Hit Papers
Peers
Comparison fields: 5 of 110
- Endocrinology 352
- Molecular Medicine 151
- Infectious Diseases 283
- Immunology 184
- Genetics 246
Countries citing papers authored by Amit Meir
This map shows the geographic impact of Amit Meir'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 Amit Meir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Meir more than expected).
Fields of papers citing papers by Amit Meir
This network shows the impact of papers produced by Amit Meir. 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 Amit Meir. The network helps show where Amit Meir may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Meir, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Secretion systems in Gram-negative bacteria: structural and mechanistic insights Hit paper breakdown → | 2015 | 801 |
| 2 | 2020 | 272 | |
| 3 | 2020 | 43 | |
| 4 | 2008 | 41 | |
| 5 | 2018 | 31 | |
| 6 | 1980 | 22 | |
| 7 | 2012 | 21 | |
| 8 | 2015 | 16 | |
| 9 | 2013 | 16 | |
| 10 | 1977 | 16 | |
| 11 | 2023 | 15 | |
| 12 | 1983 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2021 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 1984 | 7 | |
| 17 | 1996 | 5 | |
| 18 | 2010 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2024 | 3 |
About Amit Meir
Amit Meir is a scholar working on Endocrinology, Cell Biology, Electrical and Electronic Engineering, Organic Chemistry and Molecular Biology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (5 papers), Biotin and Related Studies (5 papers), Legionella and Acanthamoeba research (5 papers), Molecular Junctions and Nanostructures (4 papers), Click Chemistry and Applications (3 papers), Escherichia coli research studies (3 papers), interferon and immune responses (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Endocrinology (352 citations), Molecular Medicine (151 citations), Infectious Diseases (283 citations), Immunology (184 citations) and Genetics (246 citations). Amit Meir has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Gabriel Waksman, Adam Redzej, Catarina Felisberto‐Rodrigues, Martina Trokter, Marie S. Prevost, Tiago R. D. Costa, Aaron M. Ring, Feimei Liu, Robert Homer and Tianyang Mao. Their work appears in journals such as Nature Communications, Cellular Microbiology, Journal of Combinatorial Theory Series B, Journal of Structural Biology and Journal of Graph Theory.
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.