Michael Levi

1.6k citations
71 papers · 1.2k · h-index 19

Impact in

Papers in

Michael Levi

65 papers receiving 1.1k citations

Peers

Michael Levi
Comparison fields: 5 of 116
  • Health, Toxicology and Mutagenesis 291
  • Virology 74
  • Immunology 258
  • Neurology 131
  • Radiology, Nuclear Medicine and Imaging 196
Replace Lizhao Chen with:
Lizhao Chen China
Yoshihiro Yoshida Japan
Stephen B. Tucker United States
Caterina De Carolis Italy
Werner Jacobs Belgium
Wilma T. Steegenga Netherlands
Y Thomas France
Hua Guo China
Mary E. Wright United States
Yuhao Zhang China
Michael Levi relative to Lizhao Chen China Lizhao Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Levi

Since Specialization
Citations

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

Fields of papers citing papers by Michael Levi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200291
2 202080
3 199372
4 201753
5 201953
6 202045
7 201944
8 201840
9 199837
10 199937
11 200132
12 200831
13 201731
14 199929
15 199928
16 201727
17 199625
18 200022
19
The ability of maternal antibody to increase the immune response in infants.
196920
20 202018

About Michael Levi

Michael Levi is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Virology, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (18 papers), HIV Research and Treatment (12 papers), Peripheral Neuropathies and Disorders (10 papers), Heavy Metal Exposure and Toxicity (8 papers), T-cell and B-cell Immunology (8 papers), Glycosylation and Glycoproteins Research (7 papers), Immunotherapy and Immune Responses (7 papers) and Arsenic contamination and mitigation (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (291 citations), Virology (74 citations), Immunology (258 citations), Neurology (131 citations) and Radiology, Nuclear Medicine and Imaging (196 citations). Michael Levi has collaborated with scholars based in Sweden, Netherlands and United Kingdom. Frequent co-authors include Britta Wahrén, Marie Vahter, Maria Kippler, Jie Zhu, Li‐Ping Zou, Ulla Rudén, Syed Moshfiqur Rahman, Helena Skröder, Matti Sällberg and Inger Nennesmo. Their work appears in journals such as Journal of Neuroimmunology, Environment International, Environmental Pollution, Neuropharmacology and Environmental Research.

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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