Orna Tal
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Obstetrics and Gynecology top 10%
- Gestational Diabetes Research and Management
Papers in
- Surgery 8
- Pancreatic function and diabetes 3
- Surgical Simulation and Training 2
- Co-authors
- Guy Shakhar (6 shared papers)Idan Milo (4 shared papers)Irina Gurevich (5 shared papers)Giora Kaplan (6 shared papers)Zohar Shipony (1 shared paper)Lai Guan Ng (1 shared paper)Véronique Angeli (1 shared paper)Hwee Ying Lim (1 shared paper)
- Journals
- International Journal of Technology Assessment in Health Care (4 papers)Human Vaccines & Immunotherapeutics (3 papers)Health Policy (2 papers)PLoS ONE (2 papers)Blood (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Orna Tal
65 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 121
- Immunology 212
- Obstetrics and Gynecology 68
- Medical Laboratory Technology 11
- Oncology 195
- Immunology and Allergy 34
Countries citing papers authored by Orna Tal
This map shows the geographic impact of Orna Tal'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 Orna Tal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Orna Tal more than expected).
Fields of papers citing papers by Orna Tal
This network shows the impact of papers produced by Orna Tal. 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 Orna Tal. The network helps show where Orna Tal may publish in the future.
Co-authors
The 25 scholars most cited alongside Orna Tal, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 219 | |
| 2 | 2004 | 129 | |
| 3 | 2010 | 80 | |
| 4 | 2012 | 56 | |
| 5 | 2017 | 46 | |
| 6 | 2006 | 44 | |
| 7 | 2000 | 37 | |
| 8 | 2013 | 31 | |
| 9 | 2017 | 30 | |
| 10 | 2008 | 29 | |
| 11 | 2015 | 27 | |
| 12 | 2009 | 25 | |
| 13 | 2017 | 24 | |
| 14 | 2005 | 23 | |
| 15 | 2006 | 22 | |
| 16 | 2000 | 22 | |
| 17 | 2013 | 20 | |
| 18 | 2012 | 19 | |
| 19 | 2016 | 17 | |
| 20 | 2016 | 16 |
About Orna Tal
Orna Tal is a scholar working on General Health Professions, Surgery, Economics and Econometrics, Health and Emergency Medical Services, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (7 papers), Vaccine Coverage and Hesitancy (5 papers), Pancreatic function and diabetes (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Healthcare Quality and Management (3 papers), Surgical Simulation and Training (2 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). The work is most often cited by research in Immunology (212 citations), Obstetrics and Gynecology (68 citations), Medical Laboratory Technology (11 citations), Oncology (195 citations) and Immunology and Allergy (34 citations). Orna Tal has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Guy Shakhar, Idan Milo, Irina Gurevich, Giora Kaplan, Zohar Shipony, Lai Guan Ng, Véronique Angeli, Hwee Ying Lim, Paul Hansen and Alexander Grinshpoon. Their work appears in journals such as International Journal of Technology Assessment in Health Care, Human Vaccines & Immunotherapeutics, Health Policy, PLoS ONE and Blood.
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.