Nava Bashan
Impact in
- Biochemistry top 0.2%
- Amino Acid Enzymes and Metabolism
- Biochemical Acid Research Studies
- Physiology top 0.5%
- Adipose Tissue and Metabolism
Papers in
- Physiology 38
- Adipose Tissue and Metabolism 21
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- Metabolism, Diabetes, and Cancer 12
- Co-authors
- Assaf Rudich (48 shared papers)R. Potashnik (27 shared papers)Julia Kovsan (11 shared papers)Amir Tirosh (7 shared papers)Frank Tietze (4 shared papers)W. A. Gahl (3 shared papers)J D Schulman (3 shared papers)Ilana Harman‐Boehm (11 shared papers)
- Journals
- Journal of Inherited Metabolic Disease (7 papers)Diabetologia (5 papers)American Journal of Physiology-Endocrinology and Metabolism (5 papers)Journal of Biological Chemistry (4 papers)Endocrinology (3 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Nava Bashan
99 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 119
- Biochemistry 873
- Physiology 1.8k
- Virology 310
- Epidemiology 1.4k
- Clinical Biochemistry 270
Countries citing papers authored by Nava Bashan
This map shows the geographic impact of Nava Bashan'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 Nava Bashan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nava Bashan more than expected).
Fields of papers citing papers by Nava Bashan
This network shows the impact of papers produced by Nava Bashan. 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 Nava Bashan. The network helps show where Nava Bashan may publish in the future.
Co-authors
The 25 scholars most cited alongside Nava Bashan, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 484 | |
| 2 | 2009 | 464 | |
| 3 | 2005 | 323 | |
| 4 | 1982 | 308 | |
| 5 | 2010 | 268 | |
| 6 | 1999 | 264 | |
| 7 | 1997 | 162 | |
| 8 | 2003 | 153 | |
| 9 | 1982 | 153 | |
| 10 | 2013 | 131 | |
| 11 | 1999 | 131 | |
| 12 | 1997 | 109 | |
| 13 | 1992 | 105 | |
| 14 | 1983 | 99 | |
| 15 | 2010 | 97 | |
| 16 | 2007 | 97 | |
| 17 | 2003 | 97 | |
| 18 | 1991 | 95 | |
| 19 | 1993 | 92 | |
| 20 | 2001 | 90 |
About Nava Bashan
Nava Bashan is a scholar working on Physiology, Molecular Biology, Epidemiology, Rheumatology and Pediatrics, Perinatology and Child Health, having authored 101 papers that have together received 5.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (21 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers), Glycogen Storage Diseases and Myoclonus (17 papers), Neonatal Health and Biochemistry (15 papers), Metabolism, Diabetes, and Cancer (12 papers), Carbohydrate Chemistry and Synthesis (8 papers), Amino Acid Enzymes and Metabolism (7 papers) and Biochemical Acid Research Studies (7 papers). The work is most often cited by research in Biochemistry (873 citations), Physiology (1.8k citations), Virology (310 citations), Epidemiology (1.4k citations) and Clinical Biochemistry (270 citations). Nava Bashan has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Assaf Rudich, R. Potashnik, Julia Kovsan, Amir Tirosh, Frank Tietze, W. A. Gahl, J D Schulman, Ilana Harman‐Boehm, Matthias Blüher and Iris Shai. Their work appears in journals such as Journal of Inherited Metabolic Disease, Diabetologia, American Journal of Physiology-Endocrinology and Metabolism, Journal of Biological Chemistry and Endocrinology.
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.