Michael Levi

1.5k total citations
67 papers, 1.1k citations indexed

About

Michael Levi is a scholar working on Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Michael Levi has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health, Toxicology and Mutagenesis, 16 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Immunology. Recurrent topics in Michael Levi's work include Monoclonal and Polyclonal Antibodies Research (16 papers), HIV Research and Treatment (12 papers) and Heavy Metal Exposure and Toxicity (11 papers). Michael Levi is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (16 papers), HIV Research and Treatment (12 papers) and Heavy Metal Exposure and Toxicity (11 papers). Michael Levi collaborates with scholars based in Sweden, Netherlands and Bolivia. Michael Levi's co-authors include Britta Wahrén, Marie Vahter, Maria Kippler, Jie Zhu, Li‐Ping Zou, Ulla Rudén, Syed Moshfiqur Rahman, Helena Skröder, Matti Sällberg and Gunnar Hedlund and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and Environmental Health Perspectives.

In The Last Decade

Michael Levi

61 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Levi Sweden 19 304 271 192 190 129 67 1.1k
Barbara A. Martin United States 18 100 0.3× 148 0.5× 500 2.6× 41 0.2× 27 0.2× 59 1.4k
Werner Jacobs Belgium 20 160 0.5× 102 0.4× 237 1.2× 49 0.3× 21 0.2× 71 1.3k
Noboru Fujitani Japan 19 94 0.3× 48 0.2× 367 1.9× 43 0.2× 45 0.3× 58 921
Carmen Valenzuela Mexico 20 221 0.7× 90 0.3× 219 1.1× 35 0.2× 22 0.2× 78 1.0k
Ebru Karpuzoglu United States 16 174 0.6× 526 1.9× 258 1.3× 32 0.2× 21 0.2× 29 1.4k
Stephen B. Tucker United States 20 52 0.2× 289 1.1× 206 1.1× 52 0.3× 27 0.2× 51 1.5k
Hua Guo China 22 471 1.5× 484 1.8× 515 2.7× 21 0.1× 78 0.6× 91 2.3k
Guillermo Moisés Zúñiga‐González Mexico 20 279 0.9× 76 0.3× 383 2.0× 28 0.1× 26 0.2× 106 1.3k
Lizhao Chen China 20 162 0.5× 199 0.7× 663 3.5× 24 0.1× 27 0.2× 51 1.4k
T. Hallberg Sweden 15 130 0.4× 415 1.5× 252 1.3× 174 0.9× 14 0.1× 27 1.1k

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-authorship network of co-authors of Michael Levi

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Levi. A scholar is included among the top collaborators of Michael Levi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Levi. Michael Levi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Ying, Noemí Tirado, Paolo Manghi, et al.. (2025). Blood transcriptome changes linked to long-term arsenic exposure through drinking water – a cross-sectional study from the Bolivian Andes. Environment International. 203. 109727–109727.
2.
Llop, Sabrina, Amaia Irizar, Mario Murcia, et al.. (2021). Serum metal levels in a population of Spanish pregnant women. Gaceta Sanitaria. 36(5). 468–476. 3 indexed citations
3.
Pedersen, Jesper Torbøl, et al.. (2020). Predicted AS3MT Proteins Methylate Arsenic and Support Two Major Phylogenetic AS3MT Groups. Chemical Research in Toxicology. 33(12). 3041–3047. 15 indexed citations
4.
Vahter, Marie, Helena Skröder, Syed Moshfiqur Rahman, et al.. (2020). Prenatal and childhood arsenic exposure through drinking water and food and cognitive abilities at 10 years of age: A prospective cohort study. Environment International. 139. 105723–105723. 72 indexed citations
5.
Tirado, Noemí, et al.. (2018). Elevated arsenic exposure and efficient arsenic metabolism in indigenous women around Lake Poopó, Bolivia. The Science of The Total Environment. 657. 179–186. 38 indexed citations
6.
Tofail, Fahmida, et al.. (2017). Methylmercury exposure and cognitive abilities and behavior at 10 years of age. Environment International. 102. 97–105. 24 indexed citations
7.
Wahrén, Britta, et al.. (2015). Immune Responses to the HIV rev Regulatory Gene. Antibiotics and chemotherapy/Antibiotica et chemotherapia. 48. 105–112.
8.
Gaudin, R., et al.. (2007). Biological monitoring of occupational exposure to di(2-ethylhexyl) phthalate: survey of workers exposed to plastisols. International Archives of Occupational and Environmental Health. 81(8). 959–966. 15 indexed citations
9.
10.
Isaguliants, Maria, Severin O. Gudima, Michael Levi, et al.. (2000). Immunogenic Properties of Reverse Transcriptase of HIV Type 1 Assessed by DNA and Protein Immunization of Rabbits. AIDS Research and Human Retroviruses. 16(13). 1269–1280. 13 indexed citations
11.
Deretzi, Georgia, Li‐Ping Zou, Sigliti‐Henrietta Pelidou, et al.. (1999). Nasal Administration of Recombinant Rat IL-4 Ameliorates Ongoing Experimental Autoimmune Neuritis and Inhibits Demyelination. Journal of Autoimmunity. 12(2). 81–89. 28 indexed citations
12.
Zhang, Guangxian, Fu‐Dong Shi, Jie Zhu, et al.. (1998). Synthetic peptides fail to induce nasal tolerance to experimental autoimmune myasthenia gravis. Journal of Neuroimmunology. 85(1). 96–101. 9 indexed citations
13.
Dalton, Howard, et al.. (1998). Rapid analysis of epitope‐paratope interactions between HIV‐1 and a 17‐amino‐acid neutralizing microantibody by electrospray ionization mass spectrometry. European Journal of Biochemistry. 258(1). 164–169. 14 indexed citations
15.
Zhu, Jie, Guo‐Min Deng, Michael Levi, et al.. (1998). Prevention of Experimental Autoimmune Neuritis by Nasal Administration of P2 Protein Peptide 57–81. Journal of Neuropathology & Experimental Neurology. 57(3). 291–301. 15 indexed citations
16.
Zou, Li‐Ping, Jie Zhu, Guo‐Min Deng, et al.. (1998). Treatment with P2 protein peptide 57–81 by nasal route is effective in Lewis rat experimental autoimmune neuritis. Journal of Neuroimmunology. 85(2). 137–145. 13 indexed citations
17.
Loomis‐Price, Lawrence D., et al.. (1997). Linear epitope mapping of humoral responses induced by vaccination with recombinant HIV-1 envelope protein gp160. Journal of Industrial Microbiology & Biotechnology. 19(1). 58–65. 6 indexed citations
18.
Levi, Michael, et al.. (1963). [HEREDITARY RESISTANCE TO PLAGUE IN PALLASIOMYS MERIDIANUS].. PubMed. 56. 75–9. 1 indexed citations
19.
Levi, Michael. (1961). CURRENT STUDIES OF MELIOIDOSIS AND CERTAIN TASKS FOR SCIENTIFIC INVESTIGATION. Defense Technical Information Center (DTIC). 1 indexed citations
20.
Levi, Michael, et al.. (1960). Additional Data characterizing the Main Reservoirs of Pasteurella pestis.. Journal of microbiology epidemiology immunobiology. 31(9). 1 indexed citations

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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