Shira Shaham‐Niv
- Molecular Biology
- Biomaterials top 2%
- Physiology top 10%
- Materials Chemistry
- Organic Chemistry top 10%
- Co-authors
- Ehud GazitLihi Adler‐AbramovichSofiya KolushevaLee SchnaiderDor ZaguriLinda J. W. ShimonBruk MensaWilliam F. DeGrado
- Topics
- Alzheimer's disease research and treatments (14 papers)Protein Structure and Dynamics (8 papers)Supramolecular Self-Assembly in Materials (5 papers)
- Cited by
- BiomaterialsMicrobiologyPhysiology
- Journals
- Proceedings of the National Academy of SciencesAngewandte Chemie International EditionNature Communications
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Shira Shaham‐Niv
24 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 624
- Biomaterials 531
- Physiology 309
- Materials Chemistry 296
- Organic Chemistry 266
Countries citing papers authored by Shira Shaham‐Niv
This map shows the geographic impact of Shira Shaham‐Niv'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 Shira Shaham‐Niv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shira Shaham‐Niv more than expected).
Fields of papers citing papers by Shira Shaham‐Niv
This network shows the impact of papers produced by Shira Shaham‐Niv. 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 Shira Shaham‐Niv. The network helps show where Shira Shaham‐Niv may publish in the future.
Co-authorship network of co-authors of Shira Shaham‐Niv
This figure shows the co-authorship network connecting the top 25 collaborators of Shira Shaham‐Niv. A scholar is included among the top collaborators of Shira Shaham‐Niv 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 Shira Shaham‐Niv. Shira Shaham‐Niv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 40 | |
| 5 | 31 | |
| 6 | 7 | |
| 7 | 38 | |
| 8 | 17 | |
| 9 | 15 | |
| 10 | 43 | |
| 11 | 138 | |
| 12 | 51 | |
| 13 | 69 | |
| 14 | 61 | |
| 15 | 108 | |
| 16 | Self-assembling dipeptide antibacterial nanostructures with membrane disrupting activitybreakdown → | 349 |
| 17 | 58 | |
| 18 | 15 | |
| 19 | 59 | |
| 20 | 126 |
About Shira Shaham‐Niv
Shira Shaham‐Niv is a scholar working on Physiology, Clinical Biochemistry and Biological Psychiatry, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Protein Structure and Dynamics (8 papers) and Supramolecular Self-Assembly in Materials (5 papers). The work is most often cited by research in Biomaterials (531 citations), Microbiology (208 citations) and Physiology (309 citations). Shira Shaham‐Niv has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Ehud Gazit, Lihi Adler‐Abramovich, Sofiya Kolusheva, Lee Schnaider, Dor Zaguri, Linda J. W. Shimon, Bruk Mensa, William F. DeGrado, Nathan W. Schmidt and Sayanti Brahmachari. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature 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.