Brian M. Turczyk

2.0k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Brian M. Turczyk is a scholar working on Molecular Biology, Artificial Intelligence and Biophysics. According to data from OpenAlex, Brian M. Turczyk has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Biophysics. Recurrent topics in Brian M. Turczyk's work include RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Brian M. Turczyk is often cited by papers focused on RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Brian M. Turczyk collaborates with scholars based in United States and Germany. Brian M. Turczyk's co-authors include George M. Church, John Aach, Je Hyuk Lee, Joyce Yang, Reza Kalhor, Evan R Daugharthy, Thomas C. Ferrante, Jonathan Scheiman, Samuel A. Inverso and Amy Bernard and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

Brian M. Turczyk

7 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Highly Multiplexed Subcellular RNA Sequencing in Situ

2014 693 citations Je Hyuk Lee, Evan R Daugharthy et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian M. Turczyk United States	6	1.3k	241	219	134	106	7	1.4k
Leon Anavy Israel	10	839 0.7×	176 0.7×	72 0.3×	170 1.3×	57 0.5×	16	1.1k
Zhichao Miao China	23	1.6k 1.2×	211 0.9×	187 0.9×	313 2.3×	36 0.3×	52	2.0k
Michael J. Lawson United States	13	1.5k 1.2×	172 0.7×	313 1.4×	192 1.4×	109 1.0×	14	1.8k
Keara Lane United States	15	950 0.7×	396 1.6×	273 1.2×	153 1.1×	75 0.7×	17	1.5k
Reza Kalhor United States	17	2.2k 1.7×	351 1.5×	282 1.3×	182 1.4×	141 1.3×	19	2.6k
Sergi Regot United States	18	1.9k 1.5×	287 1.2×	191 0.9×	151 1.1×	139 1.3×	27	2.3k
Derek Thirstrup United States	7	820 0.6×	71 0.3×	414 1.9×	134 1.0×	166 1.6×	11	1.4k
Hannah Dueck United States	12	1.2k 1.0×	308 1.3×	166 0.8×	139 1.0×	62 0.6×	13	1.5k
Assaf Zaritsky Israel	16	570 0.4×	173 0.7×	140 0.6×	78 0.6×	146 1.4×	36	1.1k
Leila Mureşan United Kingdom	18	906 0.7×	50 0.2×	230 1.1×	69 0.5×	127 1.2×	47	1.3k

Countries citing papers authored by Brian M. Turczyk

Since Specialization

Citations

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

Fields of papers citing papers by Brian M. Turczyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Turczyk. 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 Brian M. Turczyk. The network helps show where Brian M. Turczyk may publish in the future.

Co-authorship network of co-authors of Brian M. Turczyk

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

All Works

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7 of 7 papers shown

1.

Turczyk, Brian M., Michele Busby, Evan R Daugharthy, et al.. (2020). Spatial Sequencing: A Perspective. Journal of Biomolecular Techniques JBT. 31(2). jbt.20–3102. 5 indexed citations

2.

Chavez, Alejandro, Benjamin W. Pruitt, Marcelle Tuttle, et al.. (2018). Precise Cas9 targeting enables genomic mutation prevention. Proceedings of the National Academy of Sciences. 115(14). 3669–3673. 26 indexed citations

3.

Gaedke, K., Xiaohong Chen, Brian M. Turczyk, et al.. (2016). Forward Error Correction for DNA Data Storage. Procedia Computer Science. 80. 1011–1022. 202 indexed citations

4.

Lee, Je Hyuk, Evan R Daugharthy, Jonathan Scheiman, et al.. (2015). Fluorescent in situ sequencing (FISSEQ) of RNA for gene expression profiling in intact cells and tissues. Nature Protocols. 10(3). 442–458. 387 indexed citations

5.

Lee, Je Hyuk, Evan R Daugharthy, Jonathan Scheiman, et al.. (2014). Highly Multiplexed Subcellular RNA Sequencing in Situ. Science. 343(6177). 1360–1363. 693 indexed citations breakdown →

6.

Murray, Heather L., Svetlana A. Mikheeva, Vincent W. Coljee, et al.. (2001). Excision of Group II Introns as Circles. Molecular Cell. 8(1). 201–211. 49 indexed citations

7.

Mikheeva, Svetlana A., Heather L. Murray, Hui Zhou, Brian M. Turczyk, & Kevin A. Jarrell. (2000). Deletion of a conserved dinucleotide inhibits the second step of group II intron splicing. RNA. 6(11). 1509–1515. 23 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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