Ram Doolman

3.1k citations
54 papers · 1.9k · 1 hit paper · h-index 21

Impact in

Papers in

Ram Doolman

53 papers receiving 1.8k citations

Ram Doolman's Hit Papers

BNT162b2 COVID-19 vaccine and correlates of humoral immune responses and dynamics: a prospective, single-centre, longitudinal cohort study in health-care workers 2021 · 235 citations
2350+1+3Years since publication50100150200

Peers

Ram Doolman
Comparison fields: 5 of 101
  • Infectious Diseases 653
  • Obstetrics and Gynecology 204
  • Modeling and Simulation 96
  • Health 143
  • Cell Biology 288
Replace Vaishali R. Moulton with:
Vaishali R. Moulton United States
Yu Gong China
Anh Do United States
Sebastian Dolff Germany
Josephine L. Barnes United Kingdom
Silvia Della Bella Italy
Juanjuan Zhao China
Soheil Tavakolpour Iran
Katja Kotsch Germany
Melissa Hui Yen Chng United States
Ram Doolman relative to Vaishali R. Moulton United States Vaishali R. Moulton's profile →
Citations per field
00.5×10×13.1×
Vaishali R. Moulton · 1×
Citations per year

Countries citing papers authored by Ram Doolman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ram Doolman Line = papers co-authored together Ram Doolman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004324
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 →
2021235
3 2000133
4 2020122
5 2021106
6 200394
7 202282
8 202177
9 202170
10 200353
11 202251
12 200436
13 202135
14 200532
15 199531
16 199631
17 201627
18 202324
19 202222
20 202222

About Ram Doolman

Ram Doolman is a scholar working on Infectious Diseases, Rheumatology, Pulmonary and Respiratory Medicine, Health and Obstetrics and Gynecology, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (18 papers), COVID-19 Clinical Research Studies (8 papers), Folate and B Vitamins Research (7 papers), COVID-19 Impact on Reproduction (5 papers), Vaccine Coverage and Hesitancy (5 papers), Animal Virus Infections Studies (4 papers), Cell Adhesion Molecules Research (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Infectious Diseases (653 citations), Obstetrics and Gynecology (204 citations), Modeling and Simulation (96 citations), Health (143 citations) and Cell Biology (288 citations). Ram Doolman has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Rachel Avner, Joseph Roitelman, Yaniv Lustig, Keren Asraf, Gili Regev‐Yochay, Yitshak Kreiss, Sharon Amit, Carmit Cohen, Vincent Chau and Gerco Hassink. Their work appears in journals such as JAMA Network Open, Journal of Biological Chemistry, Journal of Personalized Medicine, Pediatric Pulmonology 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.

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