Alan J. Tackett

272 total papers · 10.3k total citations
150 papers, 7.4k citations indexed

About

Alan J. Tackett is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Alan J. Tackett has authored 150 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 20 papers in Oncology and 16 papers in Immunology. Recurrent topics in Alan J. Tackett's work include Genomics and Chromatin Dynamics (36 papers), Epigenetics and DNA Methylation (30 papers) and Protein Degradation and Inhibitors (16 papers). Alan J. Tackett is often cited by papers focused on Genomics and Chromatin Dynamics (36 papers), Epigenetics and DNA Methylation (30 papers) and Protein Degradation and Inhibitors (16 papers). Alan J. Tackett collaborates with scholars based in United States, China and Canada. Alan J. Tackett's co-authors include Brian T. Chait, Sara C. Shalin, Lauren Evoy Davis, Stephanie D. Byrum, C. David Allis, Samuel G. Mackintosh, Joanna Wysocka, Thomas A. Milne, Sean D. Taverna and Kevin D. Raney and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Alan J. Tackett

147 papers receiving 7.3k citations

Hit Papers

A PHD finger of NURF coup... 2005 2026 2012 2019 2006 2019 2005 2016 2021 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
Alan J. Tackett 5.7k 822 532 530 497 150 7.4k
Martin Eisenacher 5.4k 0.9× 827 1.0× 771 1.4× 557 1.1× 847 1.7× 163 8.5k
Philip Andrews 5.5k 1.0× 652 0.8× 580 1.1× 765 1.4× 681 1.4× 221 9.0k
Masoud Vedadi 7.9k 1.4× 968 1.2× 470 0.9× 596 1.1× 384 0.8× 141 9.7k
Graham Dellaire 4.9k 0.8× 861 1.0× 549 1.0× 596 1.1× 457 0.9× 123 6.2k
Beatrix Ueberheide 6.3k 1.1× 661 0.8× 502 0.9× 691 1.3× 1.1k 2.1× 132 8.4k
Jing‐Dong J. Han 5.4k 0.9× 484 0.6× 755 1.4× 576 1.1× 475 1.0× 140 7.7k
Tao Xu 4.8k 0.8× 549 0.7× 456 0.9× 422 0.8× 560 1.1× 112 6.9k
Eugene W. Gerner 6.6k 1.2× 1.2k 1.5× 779 1.5× 637 1.2× 391 0.8× 209 9.6k
Yoshiyuki Kuchino 4.8k 0.8× 785 1.0× 815 1.5× 427 0.8× 421 0.8× 132 6.2k
Bernd Wollscheid 4.5k 0.8× 761 0.9× 483 0.9× 461 0.9× 1.3k 2.6× 115 7.6k

Countries citing papers authored by Alan J. Tackett

Since Specialization
Citations

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

Fields of papers citing papers by Alan J. Tackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan J. Tackett. 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 Alan J. Tackett. The network helps show where Alan J. Tackett may publish in the future.

Co-authorship network of co-authors of Alan J. Tackett

This figure shows the co-authorship network connecting the top 25 collaborators of Alan J. Tackett. A scholar is included among the top collaborators of Alan J. Tackett 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 Alan J. Tackett. Alan J. Tackett 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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