Michael P. Hantak

615 total citations
8 papers, 373 citations indexed

About

Michael P. Hantak is a scholar working on Immunology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Michael P. Hantak has authored 8 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Infectious Diseases and 3 papers in Animal Science and Zoology. Recurrent topics in Michael P. Hantak's work include SARS-CoV-2 and COVID-19 Research (3 papers), Animal Virus Infections Studies (3 papers) and Cell Adhesion Molecules Research (2 papers). Michael P. Hantak is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Animal Virus Infections Studies (3 papers) and Cell Adhesion Molecules Research (2 papers). Michael P. Hantak collaborates with scholars based in United States, Germany and United Kingdom. Michael P. Hantak's co-authors include Tom Gallagher, James T. Earnest, Enya Qing, Stanley Perlman, Kun Li, Paul B. McCray, Jung-Eun Park, Jason D. Shepherd, J. R. Einstein and Craig Gatto and has published in prestigious journals such as Cell, Trends in Neurosciences and Journal of Virology.

In The Last Decade

Michael P. Hantak

8 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael P. Hantak United States	8	201	149	64	58	47	8	373
Enya Qing United States	9	282 1.4×	151 1.0×	58 0.9×	89 1.5×	45 1.0×	12	412
Armando Morais Ventura Brazil	13	114 0.6×	182 1.2×	80 1.3×	23 0.4×	124 2.6×	38	455
Kartika Padhan United States	12	291 1.4×	169 1.1×	184 2.9×	76 1.3×	58 1.2×	16	546
Alberto Zani Italy	12	193 1.0×	71 0.5×	47 0.7×	13 0.2×	75 1.6×	26	326
Mark Pho Canada	5	74 0.4×	134 0.9×	46 0.7×	29 0.5×	47 1.0×	5	369
Mamadi Yilla United States	6	167 0.8×	195 1.3×	193 3.0×	27 0.5×	64 1.4×	8	536
Sylvia Eash United States	8	121 0.6×	134 0.9×	30 0.5×	42 0.7×	91 1.9×	8	747
Sarah A. Clark United States	8	172 0.9×	212 1.4×	49 0.8×	14 0.2×	34 0.7×	11	398
Matthias Zehner Germany	11	141 0.7×	159 1.1×	241 3.8×	14 0.2×	71 1.5×	15	453
Laura Belot France	6	84 0.4×	200 1.3×	40 0.6×	30 0.5×	62 1.3×	7	375

Countries citing papers authored by Michael P. Hantak

Since Specialization

Citations

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

Fields of papers citing papers by Michael P. Hantak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael P. Hantak

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Hantak. A scholar is included among the top collaborators of Michael P. Hantak 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 P. Hantak. Michael P. Hantak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Erlendsson, Simon, Manvendra Singh, J. R. Einstein, et al.. (2024). PNMA2 forms immunogenic non-enveloped virus-like capsids associated with paraneoplastic neurological syndrome. Cell. 187(4). 831–845.e19. 12 indexed citations

2.

Hantak, Michael P., et al.. (2021). Intercellular Communication in the Nervous System Goes Viral. Trends in Neurosciences. 44(4). 248–259. 26 indexed citations

3.

Qing, Enya, Michael P. Hantak, Stanley Perlman, & Tom Gallagher. (2020). Distinct Roles for Sialoside and Protein Receptors in Coronavirus Infection. mBio. 11(1). 74 indexed citations

4.

Qing, Enya, et al.. (2019). Evaluating MERS-CoV Entry Pathways. Methods in molecular biology. 2099. 9–20. 30 indexed citations

5.

Hantak, Michael P., Enya Qing, James T. Earnest, & Tom Gallagher. (2018). Tetraspanins: Architects of Viral Entry and Exit Platforms. Journal of Virology. 93(6). 56 indexed citations

6.

Earnest, James T., Michael P. Hantak, Kun Li, et al.. (2017). The tetraspanin CD9 facilitates MERS-coronavirus entry by scaffolding host cell receptors and proteases. PLoS Pathogens. 13(7). e1006546–e1006546. 113 indexed citations

7.

Sirobhushanam, Sirisha, Michael P. Hantak, Peter Lawrence, et al.. (2015). Short branched-chain C6 carboxylic acids result in increased growth, novel ‘unnatural’ fatty acids and increased membrane fluidity in a Listeria monocytogenes branched-chain fatty acid-deficient mutant. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1851(10). 1406–1415. 13 indexed citations

8.

Earnest, James T., Michael P. Hantak, Jung-Eun Park, & Tom Gallagher. (2015). Coronavirus and Influenza Virus Proteolytic Priming Takes Place in Tetraspanin-Enriched Membrane Microdomains. Journal of Virology. 89(11). 6093–6104. 49 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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