Nachman Ash

4.1k total citations · 2 hit papers
50 papers, 2.0k citations indexed

About

Nachman Ash is a scholar working on Infectious Diseases, Health and General Health Professions. According to data from OpenAlex, Nachman Ash has authored 50 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 9 papers in Health and 9 papers in General Health Professions. Recurrent topics in Nachman Ash's work include SARS-CoV-2 and COVID-19 Research (9 papers), Disaster Response and Management (7 papers) and Vaccine Coverage and Hesitancy (7 papers). Nachman Ash is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), Disaster Response and Management (7 papers) and Vaccine Coverage and Hesitancy (7 papers). Nachman Ash collaborates with scholars based in Israel, United States and Germany. Nachman Ash's co-authors include Sharon Alroy‐Preis, Amit Huppert, Yinon M. Bar‐On, Laurence S. Freedman, Yair Goldberg, Micha Mandel, Ron Milo, Omri Bodenheimer, Barak Mizrahi and Nir Kalkstein and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and Journal of Clinical Epidemiology.

In The Last Decade

Nachman Ash

48 papers receiving 1.9k citations

Hit Papers

Protection of BNT162b2 Vaccine Booster against Covid-19 i... 2021 2026 2022 2024 2021 2022 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nachman Ash Israel 17 937 400 291 258 207 50 2.0k
Nathan Peiffer‐Smadja France 19 1.4k 1.5× 149 0.4× 260 0.9× 159 0.6× 130 0.6× 94 2.8k
Noa Dagan Israel 18 2.7k 2.9× 1.1k 2.8× 326 1.1× 550 2.1× 447 2.2× 37 4.0k
Doron Netzer Israel 12 941 1.0× 263 0.7× 202 0.7× 102 0.4× 230 1.1× 37 1.5k
Khalid Alhasan Saudi Arabia 21 321 0.3× 277 0.7× 168 0.6× 107 0.4× 83 0.4× 89 1.5k
Farah Yasmin Pakistan 16 495 0.5× 451 1.1× 70 0.2× 151 0.6× 125 0.6× 133 1.4k
Calvin J. Chiew Singapore 22 1.7k 1.8× 332 0.8× 125 0.4× 1.1k 4.3× 123 0.6× 60 3.3k
Srinivas Murthy Canada 22 680 0.7× 102 0.3× 110 0.4× 149 0.6× 158 0.8× 130 2.7k
Noam Barda Israel 17 2.6k 2.8× 1.1k 2.9× 291 1.0× 563 2.2× 347 1.7× 45 3.7k
Michael Rajnik United States 14 1.3k 1.3× 58 0.1× 196 0.7× 247 1.0× 135 0.7× 37 2.5k
Sian Taylor‐Phillips United Kingdom 28 1.2k 1.3× 46 0.1× 384 1.3× 106 0.4× 227 1.1× 125 3.3k

Countries citing papers authored by Nachman Ash

Since Specialization
Citations

This map shows the geographic impact of Nachman Ash'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 Nachman Ash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nachman Ash more than expected).

Fields of papers citing papers by Nachman Ash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nachman Ash. 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 Nachman Ash. The network helps show where Nachman Ash may publish in the future.

Co-authorship network of co-authors of Nachman Ash

This figure shows the co-authorship network connecting the top 25 collaborators of Nachman Ash. A scholar is included among the top collaborators of Nachman Ash 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 Nachman Ash. Nachman Ash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tesler, Riki, et al.. (2025). Implementation of the Robson classification for caesarean sections in Israel: a 10-year cross-sectional study. Israel Journal of Health Policy Research. 14(1). 63–63.
2.
Nitzan, Dorit, Joseph Mendlovic, & Nachman Ash. (2024). The Israeli Trauma system during wartime - policy and management. Israel Journal of Health Policy Research. 13(1). 32–32. 1 indexed citations
3.
Ash, Nachman, et al.. (2023). The COVID-19 pandemic posed many dilemmas for policymakers, which sometimes resulted in unprecedented decision-making. Israel Journal of Health Policy Research. 12(1). 13–13. 3 indexed citations
4.
Amir, Ofra, Yair Goldberg, Micha Mandel, et al.. (2023). Protection against Omicron BA.1/BA.2 severe disease 0–7 months after BNT162b2 booster. Communications Biology. 6(1). 315–315. 2 indexed citations
5.
Amir, Ofra, Yair Goldberg, Micha Mandel, et al.. (2022). Initial protection against SARS-CoV-2 omicron lineage infection in children and adolescents by BNT162b2 in Israel: an observational study. The Lancet Infectious Diseases. 23(1). 67–73. 12 indexed citations
6.
Goldberg, Yair, Micha Mandel, Yinon M. Bar‐On, et al.. (2022). Protection and Waning of Natural and Hybrid Immunity to SARS-CoV-2. New England Journal of Medicine. 386(23). 2201–2212. 263 indexed citations breakdown →
7.
Amir, Ofra, Yair Goldberg, Micha Mandel, et al.. (2022). Protection following BNT162b2 booster in adolescents substantially exceeds that of a fresh 2-dose vaccine. Nature Communications. 13(1). 1971–1971. 7 indexed citations
8.
Mor, Orna, Neta S. Zuckerman, Ronen Fluss, et al.. (2021). BNT162b2 vaccine effectiveness was marginally affected by the SARS-CoV-2 beta variant in fully vaccinated individuals. Journal of Clinical Epidemiology. 142. 38–44. 13 indexed citations
9.
Glassberg, Elon, et al.. (2013). Blood glucose levels as an adjunct for prehospital field triage. The American Journal of Emergency Medicine. 31(3). 556–561. 5 indexed citations
10.
Glassberg, Elon, et al.. (2013). A dynamic mass casualty incident at sea. The Journal of Trauma: Injury, Infection, and Critical Care. 75(2). 292–297. 9 indexed citations
11.
Katzenell, Udi, et al.. (2012). Analysis of the Causes of Death of Casualties in Field Military Setting. Military Medicine. 177(9). 1065–1068. 52 indexed citations
12.
Lipsky, Ari M., Ori Ganor, Gadi Abebe‐Campino, et al.. (2012). Training Modalities and Self-Confidence Building in Performance of Life-Saving Procedures. Military Medicine. 177(8). 901–906. 33 indexed citations
13.
Brosh‐Nissimov, Tal, et al.. (2010). Medicine and the Holocaust: a visit to the Nazi death camps as a means of teaching medical ethics in the Israel Defense Forces Medical Corps. Journal of Medical Ethics. 36(12). 821–826. 2 indexed citations
14.
Merin, Ofer, Nachman Ash, Gad Levy, Mitchell J. Schwaber, & Yitshak Kreiss. (2010). The Israeli Field Hospital in Haiti — Ethical Dilemmas in Early Disaster Response. New England Journal of Medicine. 362(11). e38–e38. 85 indexed citations
15.
Kosashvili, Yona, et al.. (2010). Anatomic Distribution of Bullet Head Injuries in Combat Fatalities. The Journal of Trauma: Injury, Infection, and Critical Care. 69(3). 541–543. 9 indexed citations
16.
Chaiter, Yoram, et al.. (2010). Quality‐assuring intervention for technical medical staff at medical committees. International Journal of Health Care Quality Assurance. 24(1). 19–30. 7 indexed citations
17.
Balicer, Ran D., Salman Zarka, Hagai Levine, et al.. (2010). Control of Streptococcus pneumoniae serotype 5 epidemic of severe pneumonia among young army recruits by mass antibiotic treatment and vaccination. Vaccine. 28(34). 5591–5596. 32 indexed citations
18.
Gesundheit, Benjamin, Nachman Ash, Shraga Blazer, & Avraham I. Rivkind. (2009). Medical Care for Terrorists—To Treat or Not to Treat?. The American Journal of Bioethics. 9(10). 40–42. 16 indexed citations
19.
Maharshak, Nitsan, Gal Chechik, Leonard Leibovici, et al.. (2004). Applying an artificial neural network to warfarin maintenance dose prediction.. PubMed. 6(12). 732–5. 23 indexed citations
20.
Bernstam, Elmer V., Nachman Ash, Mor Peleg, et al.. (2000). Guideline classification to assist modeling, authoring, implementation and retrieval.. PubMed. 66–70. 16 indexed citations

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.

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