Miriam Levi

118.2k citations
65 papers · 1.2k · h-index 21

Impact in

Papers in

Miriam Levi

62 papers receiving 1.2k citations

Peers

Miriam Levi
Comparison fields: 5 of 117
  • Health, Toxicology and Mutagenesis 261
  • Health 141
  • Epidemiology 364
  • Microbiology 64
  • Rheumatology 107
Replace Xiaofeng Liang with:
Xiaofeng Liang China
Naomi Bock United States
Dominik Stelzle Germany
Jiabi Qin China
Haiping Shen China
Blair J. Wylie United States
Harpreet S. Takhar United States
Pooja Dewan India
Jørn Attermann Denmark
Terence T. Lao Hong Kong
Miriam Levi relative to Xiaofeng Liang China Xiaofeng Liang's profile →
Citations per field
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Xiaofeng Liang · 1×
Citations per year

Countries citing papers authored by Miriam Levi

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Levi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Miriam Levi, 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 Miriam Levi Line = papers co-authored together Miriam Levi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016104
2 201893
3 201971
4 201969
5 201657
6 201250
7 201447
8 201344
9 201443
10 201143
11 201940
12 202134
13 202130
14 201929
15 201326
16 201626
17 202026
18 201625
19 202323
20 201821

About Miriam Levi

Miriam Levi is a scholar working on Epidemiology, Health, Toxicology and Mutagenesis, Microbiology, Health and Infectious Diseases, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Climate Change and Health Impacts (11 papers), Hepatitis B Virus Studies (8 papers), Bacterial Infections and Vaccines (8 papers), Vaccine Coverage and Hesitancy (7 papers), Cervical Cancer and HPV Research (6 papers), Influenza Virus Research Studies (5 papers), Hepatitis C virus research (4 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (261 citations), Health (141 citations), Epidemiology (364 citations), Microbiology (64 citations) and Rheumatology (107 citations). Miriam Levi has collaborated with scholars based in Italy, Netherlands and Belarus. Frequent co-authors include Paolo Bonanni, Angela Bechini, Sara Boccalini, Alberto Baldasseroni, Tord Kjellström, Emilia Tiscione, Marco Morabito, Claudio Cricelli, Francesco Lapi and Alessandro Messeri. Their work appears in journals such as Human Vaccines & Immunotherapeutics, International Journal of Environmental Research and Public Health, European Journal of Public Health, Vaccine and Frontiers in Public Health.

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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