Ram Doolman
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Obstetrics and Gynecology top 2%
- COVID-19 Impact on Reproduction
Papers in
-
- SARS-CoV-2 and COVID-19 Research 20
- COVID-19 Clinical Research Studies 8
-
- COVID-19 Impact on Reproduction 6
- Co-authors
- Yaniv Lustig (21 shared papers)Rachel Avner (3 shared papers)Joseph Roitelman (3 shared papers)Keren Asraf (27 shared papers)Gili Regev‐Yochay (21 shared papers)Yitshak Kreiss (14 shared papers)Sharon Amit (10 shared papers)Victoria Indenbaum (13 shared papers)
- Journals
- JAMA Network Open (3 papers)Journal of Biological Chemistry (3 papers)Pediatric Pulmonology (2 papers)Cardiology (2 papers)Clinical Infectious Diseases (2 papers)
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Ram Doolman
57 papers receiving 2.2k citations
Ram Doolman's Hit Papers
Peers
Comparison fields: 5 of 106
- Infectious Diseases 920
- Obstetrics and Gynecology 241
- Modeling and Simulation 130
- Health 170
- Cell Biology 287
Countries citing papers authored by Ram Doolman
This map shows the geographic impact of Ram Doolman'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 Ram Doolman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Doolman more than expected).
Fields of papers citing papers by Ram Doolman
This network shows the impact of papers produced by Ram Doolman. 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 Ram Doolman. The network helps show where Ram Doolman may publish in the future.
Co-authors
The 25 scholars most cited alongside Ram Doolman, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 329 | |
| 2 | BNT162b2 COVID-19 vaccine and correlates of humoral immune responses and dynamics: a prospective, single-centre, longitudinal cohort study in health-care workers Hit paper breakdown → | 2021 | 269 |
| 3 | 2020 | 131 | |
| 4 | 2000 | 130 | |
| 5 | 2021 | 119 | |
| 6 | 2020 | 102 | |
| 7 | 2022 | 97 | |
| 8 | 2003 | 96 | |
| 9 | 2021 | 85 | |
| 10 | 2021 | 77 | |
| 11 | 2022 | 73 | |
| 12 | 2023 | 65 | |
| 13 | 2003 | 55 | |
| 14 | 2022 | 45 | |
| 15 | 2021 | 37 | |
| 16 | 2004 | 35 | |
| 17 | 2005 | 33 | |
| 18 | 1996 | 32 | |
| 19 | 1995 | 31 | |
| 20 | 2023 | 27 |
About Ram Doolman
Ram Doolman is a scholar working on Infectious Diseases, Obstetrics and Gynecology, Rheumatology, Immunology and Allergy and Immunology, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (20 papers), COVID-19 Clinical Research Studies (8 papers), Folate and B Vitamins Research (7 papers), COVID-19 Impact on Reproduction (6 papers), Animal Virus Infections Studies (4 papers), Cell Adhesion Molecules Research (4 papers), Reproductive System and Pregnancy (3 papers) and Pregnancy and Medication Impact (3 papers). The work is most often cited by research in Infectious Diseases (920 citations), Obstetrics and Gynecology (241 citations), Modeling and Simulation (130 citations), Health (170 citations) and Cell Biology (287 citations). Ram Doolman has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Yaniv Lustig, Rachel Avner, Joseph Roitelman, Keren Asraf, Gili Regev‐Yochay, Yitshak Kreiss, Sharon Amit, Victoria Indenbaum, Ella Mendelson and Laurence S. Freedman. Their work appears in journals such as JAMA Network Open, Journal of Biological Chemistry, Pediatric Pulmonology, Cardiology and Clinical Infectious Diseases.
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.