Naomi Kraus-Friedmann
- Molecular Biology
- Surgery
- Cell Biology top 10%
- Physiology
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Li FengSandra C. HighamPamela B. MooreVarda Shoshan‐BarmatzJürg BiberHeini MurerErnesto CarafoliSatoshi Kimura
- Topics
- Ion Transport and Channel Regulation (14 papers)Pancreatic function and diabetes (14 papers)Ion channel regulation and function (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryPhysiological Reviews
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Naomi Kraus-Friedmann
42 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 664
- Surgery 221
- Cell Biology 201
- Physiology 174
- Cellular and Molecular Neuroscience 145
Countries citing papers authored by Naomi Kraus-Friedmann
This map shows the geographic impact of Naomi Kraus-Friedmann'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 Kraus-Friedmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naomi Kraus-Friedmann more than expected).
Fields of papers citing papers by Naomi Kraus-Friedmann
This network shows the impact of papers produced by Naomi Kraus-Friedmann. 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 Kraus-Friedmann. The network helps show where Naomi Kraus-Friedmann may publish in the future.
Co-authorship network of co-authors of Naomi Kraus-Friedmann
This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Kraus-Friedmann. A scholar is included among the top collaborators of Naomi Kraus-Friedmann 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 Kraus-Friedmann. Naomi Kraus-Friedmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 6 | |
| 4 | 83 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | 31 | |
| 8 | 5 | |
| 9 | 27 | |
| 10 | 49 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 46 | |
| 14 | 6 | |
| 15 | 19 | |
| 16 | 5 | |
| 17 | Hormonal control of gluconeogenesis | 30 |
| 18 | 4 | |
| 19 | 11 | |
| 20 | 4 |
About Naomi Kraus-Friedmann
Naomi Kraus-Friedmann is a scholar working on Cell Biology, Clinical Biochemistry and Molecular Biology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (14 papers), Pancreatic function and diabetes (14 papers) and Ion channel regulation and function (11 papers). The work is most often cited by research in Physiology (81 citations), Cell Biology (201 citations) and Sensory Systems (48 citations). Naomi Kraus-Friedmann has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Li Feng, Sandra C. Higham, Pamela B. Moore, Varda Shoshan‐Barmatz, Jürg Biber, Heini Murer, Ernesto Carafoli, Satoshi Kimura, Thomas A. Pressley and John Dedman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Physiological Reviews.
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.