Alec Heckert

2.3k total citations · 2 hit papers
10 papers, 1.4k citations indexed

About

Alec Heckert is a scholar working on Molecular Biology, Biophysics and Cell Biology. According to data from OpenAlex, Alec Heckert has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Biophysics and 2 papers in Cell Biology. Recurrent topics in Alec Heckert's work include RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers) and Genomics and Chromatin Dynamics (4 papers). Alec Heckert is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers) and Genomics and Chromatin Dynamics (4 papers). Alec Heckert collaborates with scholars based in United States, Switzerland and India. Alec Heckert's co-authors include Xavier Darzacq, Robert Tjian, Claire Dugast‐Darzacq, Anders S. Hansen, Gina M. Dailey, Sambashiva Banala, Peng Dong, Shasha Chong, Zhe Liu and Luke D. Lavis and has published in prestigious journals such as Nature, Science and Molecular Cell.

In The Last Decade

Alec Heckert

10 papers receiving 1.4k citations

Hit Papers

Imaging dynamic and selective low-complexity domain inter... 2018 2026 2020 2023 2018 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alec Heckert United States 7 1.3k 119 77 75 50 10 1.4k
Won‐Ki Cho South Korea 12 1.6k 1.2× 127 1.1× 96 1.2× 139 1.9× 58 1.2× 19 1.7k
Jenna K. Rimel United States 6 1.7k 1.3× 145 1.2× 94 1.2× 38 0.5× 89 1.8× 9 1.8k
John C. Manteiga United States 4 2.0k 1.6× 214 1.8× 157 2.0× 37 0.5× 72 1.4× 6 2.1k
Michael Lidschreiber Germany 19 1.5k 1.2× 111 0.9× 63 0.8× 27 0.4× 31 0.6× 34 1.6k
Nico Battich Switzerland 10 873 0.7× 35 0.3× 83 1.1× 154 2.1× 60 1.2× 10 987
Anand Ranjan United States 16 1.3k 1.0× 229 1.9× 64 0.8× 125 1.7× 49 1.0× 23 1.4k
Gregory Brittingham United States 5 477 0.4× 62 0.5× 46 0.6× 54 0.7× 169 3.4× 7 701
Marc Boehning Germany 6 909 0.7× 57 0.5× 35 0.5× 18 0.2× 42 0.8× 7 991
Madeline M Keenen United States 7 1.5k 1.2× 246 2.1× 73 0.9× 20 0.3× 68 1.4× 8 1.6k
Tatsuya Morisaki United States 17 1.6k 1.2× 68 0.6× 152 2.0× 275 3.7× 121 2.4× 32 1.7k

Countries citing papers authored by Alec Heckert

Since Specialization
Citations

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

Fields of papers citing papers by Alec Heckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alec Heckert

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

All Works

10 of 10 papers shown
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Collombet, Samuel, Claire Dugast‐Darzacq, Alec Heckert, et al.. (2023). RNA polymerase II depletion from the inactive X chromosome territory is not mediated by physical compartmentalization. Nature Structural & Molecular Biology. 30(8). 1216–1223. 23 indexed citations
4.
Heckert, Alec, et al.. (2022). Recovering mixtures of fast-diffusing states from short single-particle trajectories. eLife. 11. 43 indexed citations
5.
Chen, Leo C., R. Alex Wu, David T. McSwiggen, et al.. (2020). The Histone Chaperone FACT Induces Cas9 Multi-turnover Behavior and Modifies Genome Manipulation in Human Cells. Molecular Cell. 79(2). 221–233.e5. 29 indexed citations
6.
Barnwal, Ravi Pratap, et al.. (2020). Comparative structure, dynamics and evolution of acyl-carrier proteins from Borrelia burgdorferi, Brucella melitensis and Rickettsia prowazekii. Biochemical Journal. 477(2). 491–508. 4 indexed citations
7.
McSwiggen, David T., Anders S. Hansen, Sheila S. Teves, et al.. (2019). Evidence for DNA-mediated nuclear compartmentalization distinct from phase separation. eLife. 8. 204 indexed citations
8.
Chong, Shasha, Claire Dugast‐Darzacq, Zhe Liu, et al.. (2018). Imaging dynamic and selective low-complexity domain interactions that control gene transcription. Science. 361(6400). 673 indexed citations breakdown →
9.
Chong, Shasha, Claire Dugast‐Darzacq, Zhe Liu, et al.. (2018). Imaging dynamic and selective low-complexity domain interactions that control gene transcription. Zenodo (CERN European Organization for Nuclear Research). 6 indexed citations
10.
Lu, Huasong, Dan Yu, Anders S. Hansen, et al.. (2018). Phase-separation mechanism for C-terminal hyperphosphorylation of RNA polymerase II. Nature. 558(7709). 318–323. 416 indexed citations breakdown →

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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