Neta Sal‐Man
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- Escherichia coli research studies 21
- Vibrio bacteria research studies 13
-
- Lipid Membrane Structure and Behavior 5
- RNA and protein synthesis mechanisms 4
- Co-authors
- Doron Gerber (8 shared papers)Yechiel Shai (9 shared papers)Yechiel Shai (2 shared papers)B. Brett Finlay (8 shared papers)Wanyin Deng (5 shared papers)Avner Fink (1 shared paper)Itai Bloch (1 shared paper)Oren Ziv (1 shared paper)
In The Last Decade
Neta Sal‐Man
42 papers receiving 918 citations
Peers
Comparison fields: 5 of 91
- Endocrinology 186
- Microbiology 118
- Molecular Medicine 68
- Molecular Biology 515
- Genetics 188
Countries citing papers authored by Neta Sal‐Man
This map shows the geographic impact of Neta Sal‐Man'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 Neta Sal‐Man with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neta Sal‐Man more than expected).
Fields of papers citing papers by Neta Sal‐Man
This network shows the impact of papers produced by Neta Sal‐Man. 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 Neta Sal‐Man. The network helps show where Neta Sal‐Man may publish in the future.
Co-authors
The 25 scholars most cited alongside Neta Sal‐Man, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 107 | |
| 2 | 2007 | 98 | |
| 3 | 2004 | 84 | |
| 4 | 2002 | 66 | |
| 5 | 2001 | 62 | |
| 6 | 2005 | 51 | |
| 7 | 2007 | 38 | |
| 8 | 2004 | 37 | |
| 9 | 2011 | 34 | |
| 10 | 2011 | 32 | |
| 11 | 2017 | 32 | |
| 12 | 2020 | 27 | |
| 13 | 2004 | 26 | |
| 14 | 2019 | 21 | |
| 15 | 2003 | 19 | |
| 16 | 2018 | 16 | |
| 17 | 2013 | 16 | |
| 18 | 2004 | 16 | |
| 19 | 2024 | 16 | |
| 20 | 2009 | 15 |
About Neta Sal‐Man
Neta Sal‐Man is a scholar working on Endocrinology, Molecular Biology, Genetics, Molecular Medicine and Infectious Diseases, having authored 43 papers that have together received 938 indexed citations. Recurring topics across this work include Escherichia coli research studies (21 papers), Vibrio bacteria research studies (13 papers), Bacterial Genetics and Biotechnology (12 papers), Antibiotic Resistance in Bacteria (5 papers), Lipid Membrane Structure and Behavior (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), RNA and protein synthesis mechanisms (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Endocrinology (186 citations), Microbiology (118 citations), Molecular Medicine (68 citations), Molecular Biology (515 citations) and Genetics (188 citations). Neta Sal‐Man has collaborated with scholars based in Israel, Canada and Germany. Frequent co-authors include Doron Gerber, Yechiel Shai, Yechiel Shai, B. Brett Finlay, Wanyin Deng, Avner Fink, Itai Bloch, Oren Ziv, Dvir Rotem and Shimon Schuldiner. Their work appears in journals such as Journal of Biological Chemistry, Gut Microbes, Journal of Bacteriology, Biochimica et Biophysica Acta (BBA) - Biomembranes and Biochemical Journal.
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.