Naomi Meyerstein
- Physiology top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Hematology top 5%
- Co-authors
- Dan MeyersteinDalia MazorAlexandra MasarwaE ShvartzR. YagilA. DvilanskyAvinoam LivnéP. J. C. Kuiper
- Topics
- Erythrocyte Function and Pathophysiology (35 papers)Blood properties and coagulation (23 papers)Lipid Membrane Structure and Behavior (7 papers)
- Cited by
- PhysiologyHematologyBiochemistry
- Journals
- The Journal of ImmunologyCoordination Chemistry ReviewsBiochemical and Biophysical Research Communications
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Naomi Meyerstein
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 136
- Physiology 453
- Molecular Biology 285
- Pulmonary and Respiratory Medicine 280
- Biomedical Engineering 168
- Hematology 166
Countries citing papers authored by Naomi Meyerstein
This map shows the geographic impact of Naomi Meyerstein'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 Naomi Meyerstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naomi Meyerstein more than expected).
Fields of papers citing papers by Naomi Meyerstein
This network shows the impact of papers produced by Naomi Meyerstein. 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 Naomi Meyerstein. The network helps show where Naomi Meyerstein may publish in the future.
Co-authorship network of co-authors of Naomi Meyerstein
This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Meyerstein. A scholar is included among the top collaborators of Naomi Meyerstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naomi Meyerstein. Naomi Meyerstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 2 | |
| 3 | 29 | |
| 4 | 27 | |
| 5 | 2 | |
| 6 | 51 | |
| 7 | 18 | |
| 8 | 23 | |
| 9 | 11 | |
| 10 | 29 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 28 | |
| 14 | 7 | |
| 15 | 36 | |
| 16 | 4 | |
| 17 | 34 | |
| 18 | 12 | |
| 19 | [The acidified glyceral lysis test for hereditary spherocytosis and other anemias]. | 1 |
| 20 | 4 |
About Naomi Meyerstein
Naomi Meyerstein is a scholar working on Physiology, Hematology and Pulmonary and Respiratory Medicine, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (35 papers), Blood properties and coagulation (23 papers) and Lipid Membrane Structure and Behavior (7 papers). The work is most often cited by research in Physiology (453 citations), Hematology (166 citations) and Biochemistry (72 citations). Naomi Meyerstein has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Dan Meyerstein, Dalia Mazor, Alexandra Masarwa, E Shvartz, R. Yagil, A. Dvilansky, Avinoam Livné, P. J. C. Kuiper, Rudi van Eldik and David Tovbin. Their work appears in journals such as The Journal of Immunology, Coordination Chemistry Reviews and Biochemical and Biophysical Research Communications.
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.