Michael S. Haney

42 total papers · 6.7k total citations
14 papers, 2.0k citations indexed

About

Michael S. Haney is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Michael S. Haney has authored 14 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Physiology. Recurrent topics in Michael S. Haney's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Immune cells in cancer (3 papers) and CRISPR and Genetic Engineering (3 papers). Michael S. Haney is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Immune cells in cancer (3 papers) and CRISPR and Genetic Engineering (3 papers). Michael S. Haney collaborates with scholars based in United States, South Korea and Austria. Michael S. Haney's co-authors include Michael C. Bassik, David W. Morgens, Tony Wyss‐Coray, John V. Pluvinage, Carolyn R. Bertozzi, Tal Iram, Heimo Wolinski, Julia Tevini, Thomas K. Felder and Benoit Lehallier and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Michael S. Haney

14 papers receiving 1.9k citations

Hit Papers

Lipid-droplet-accumulatin... 2019 2026 2021 2023 2020 2019 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael S. Haney 1.0k 711 410 409 184 14 2.0k
Nicholas E. Propson 2.0k 1.9× 778 1.1× 422 1.0× 595 1.5× 131 0.7× 15 3.2k
John V. Pluvinage 752 0.7× 908 1.3× 614 1.5× 476 1.2× 94 0.5× 14 2.0k
Timour Prozorovski 1.0k 1.0× 391 0.5× 652 1.6× 287 0.7× 119 0.6× 23 2.4k
Joost Drexhage 826 0.8× 685 1.0× 416 1.0× 160 0.4× 153 0.8× 27 2.0k
Bàrbara Laviña 844 0.8× 581 0.8× 182 0.4× 268 0.7× 197 1.1× 23 2.1k
Ayal Ben‐Zvi 845 0.8× 869 1.2× 255 0.6× 279 0.7× 189 1.0× 31 2.2k
Anje Sporbert 1.2k 1.2× 638 0.9× 367 0.9× 360 0.9× 83 0.5× 41 2.3k
Satoshi Tsunoda 1.0k 1.0× 621 0.9× 249 0.6× 643 1.6× 172 0.9× 30 2.1k
Brian P. Hafler 1.2k 1.1× 788 1.1× 383 0.9× 567 1.4× 117 0.6× 22 2.2k
Tal Iram 544 0.5× 829 1.2× 590 1.4× 544 1.3× 94 0.5× 14 1.7k

Countries citing papers authored by Michael S. Haney

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Haney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Haney

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

All Works

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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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