David Koppstein

3.2k total citations · 1 hit paper
11 papers, 1.4k citations indexed

About

David Koppstein is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, David Koppstein has authored 11 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 Cancer Research and 1 paper in Infectious Diseases. Recurrent topics in David Koppstein's work include RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). David Koppstein is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). David Koppstein collaborates with scholars based in United States, Germany and Australia. David Koppstein's co-authors include David P. Bartel, Igor Ulitsky, Hadas Hezroni, Matthew G. Schwartz, Calvin H. Jan, Alexander O. Subtelny, George W. Bell, Hazel Sive, Alena Shkumatava and Vikram Agarwal and has published in prestigious journals such as Cell, Nucleic Acids Research and Molecular Cell.

In The Last Decade

David Koppstein

10 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.

Principles of Long Noncoding RNA Evolution Derived from Direct Comparison of Transcriptomes in 17 Species

2015 463 citations Hadas Hezroni, David Koppstein et al. Cell Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Koppstein United States	9	1.2k	660	136	128	95	11	1.4k
Supriyo Chakraborty India	21	1.3k 1.1×	379 0.6×	81 0.6×	120 0.9×	138 1.5×	74	1.6k
Marina Pinskaya France	12	1.4k 1.2×	742 1.1×	143 1.1×	47 0.4×	66 0.7×	21	1.6k
Stefan Washietl Austria	19	2.8k 2.4×	896 1.4×	224 1.6×	83 0.6×	74 0.8×	28	3.1k
Donald Sharon United States	13	716 0.6×	218 0.3×	81 0.6×	79 0.6×	172 1.8×	15	1.0k
Vicent Pelechano Sweden	29	3.1k 2.6×	504 0.8×	168 1.2×	103 0.8×	98 1.0×	76	3.5k
Maxime Wéry France	21	807 0.7×	219 0.3×	71 0.5×	161 1.3×	42 0.4×	44	1.1k
Simon K. Chan Canada	15	762 0.7×	154 0.2×	166 1.2×	78 0.6×	152 1.6×	24	1.4k
Tsafi Pe’ery United States	20	779 0.7×	97 0.1×	97 0.7×	148 1.2×	83 0.9×	29	1.1k
Martin Pospíšek Czechia	18	772 0.7×	114 0.2×	117 0.9×	142 1.1×	81 0.9×	47	1.3k
Yue Tang United Kingdom	15	828 0.7×	216 0.3×	34 0.3×	122 1.0×	50 0.5×	37	1.1k

Countries citing papers authored by David Koppstein

Since Specialization

Citations

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

Fields of papers citing papers by David Koppstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Koppstein

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

All Works

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11 of 11 papers shown

1.

Purkait, Suvendu, Jörg Felsberg, Kerstin Kaulich, et al.. (2025). Strong nuclear expression of HOXB13 is a reliable surrogate marker for DNA methylome profiling to distinguish myxopapillary ependymoma from spinal ependymoma. Acta Neuropathologica. 149(1). 29–29.

2.

Legnini, Ivano, Sarah Holec, Laura Arrigoni, et al.. (2023). Sites of transcription initiation drive mRNA isoform selection. Cell. 186(11). 2438–2455.e22. 35 indexed citations

3.

Калинина, А. М., et al.. (2022). The key features of SARS-CoV-2 leader and NSP1 required for viral escape of NSP1-mediated repression. RNA. 28(5). 766–779. 35 indexed citations

4.

Rizzetto, Simone, David Koppstein, Jerome Samir, et al.. (2018). B-cell receptor reconstruction from single-cell RNA-seq with VDJPuzzle. Bioinformatics. 34(16). 2846–2847. 66 indexed citations

5.

Johnstone, Timothy G., David Koppstein, Ronald J. Hause, et al.. (2018). Abstract 1541: Directed, unbiased mapping of lentiviral integrations with next generation sequencing in CAR-T cells. Cancer Research. 78(13_Supplement). 1541–1541. 1 indexed citations

6.

Hezroni, Hadas, et al.. (2015). Principles of Long Noncoding RNA Evolution Derived from Direct Comparison of Transcriptomes in 17 Species. Cell Reports. 11(7). 1110–1122. 463 indexed citations breakdown →

7.

Koppstein, David, Joseph Ashour, & David P. Bartel. (2015). Sequencing the cap-snatching repertoire of H1N1 influenza provides insight into the mechanism of viral transcription initiation. Nucleic Acids Research. 43(10). 5052–5064. 66 indexed citations

8.

Nam, Jin‐Wu, Olivia S. Rissland, David Koppstein, et al.. (2014). Global Analyses of the Effect of Different Cellular Contexts on MicroRNA Targeting. Molecular Cell. 53(6). 1031–1043. 252 indexed citations

9.

Ulitsky, Igor, Alena Shkumatava, Calvin H. Jan, et al.. (2012). Extensive alternative polyadenylation during zebrafish development. Genome Research. 22(10). 2054–2066. 252 indexed citations

10.

Agarwal, Ashish, David Koppstein, Joel Rozowsky, et al.. (2010). Comparison and calibration of transcriptome data from RNA-Seq and tiling arrays. BMC Genomics. 11(1). 383–383. 83 indexed citations

11.

Mukhopadhyay, Jayanta, Kalyan Das, Sajida Ismail, et al.. (2008). The RNA Polymerase “Switch Region” Is a Target for Inhibitors. Cell. 135(2). 295–307. 185 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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