Kevin Drenner

2.9k total citations · 1 hit paper
12 papers, 881 citations indexed

About

Kevin Drenner is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Kevin Drenner has authored 12 papers receiving a total of 881 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 Genetics. Recurrent topics in Kevin Drenner's work include Amyotrophic Lateral Sclerosis Research (5 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Cancer Genomics and Diagnostics (3 papers). Kevin Drenner is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (5 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Cancer Genomics and Diagnostics (3 papers). Kevin Drenner collaborates with scholars based in United States, France and Singapore. Kevin Drenner's co-authors include Don W. Cleveland, Clotilde Lagier‐Tourenne, Ying Sun, Shuying Sun, John Ravits, Sandrine Da Cruz, Michael W. Baughn, Fernande Freyermuth, Moira A. McMahon and C. Frank Bennett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Kevin Drenner

11 papers receiving 875 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.

Premature polyadenylation-mediated loss of stathmin-2 is a hallmark of TDP-43-dependent neurodegeneration

2019 339 citations Ze’ev Melamed, Jone López‐Erauskin et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin Drenner United States	9	528	514	345	143	103	12	881
Giulia Bisogni Italy	15	481 0.9×	372 0.7×	304 0.9×	135 0.9×	122 1.2×	37	742
Elizabeth L. Daley United States	7	593 1.1×	513 1.0×	393 1.1×	167 1.2×	64 0.6×	7	863
Paul R. Mayer United States	7	467 0.9×	500 1.0×	290 0.8×	98 0.7×	62 0.6×	8	787
Ze’ev Melamed United States	9	492 0.9×	770 1.5×	304 0.9×	97 0.7×	59 0.6×	10	1.0k
Martine Therrien Canada	12	318 0.6×	355 0.7×	223 0.6×	184 1.3×	99 1.0×	17	808
Nipun A. Mistry United States	5	507 1.0×	450 0.9×	346 1.0×	142 1.0×	68 0.7×	7	852
Wendy Scheveneels Belgium	11	591 1.1×	456 0.9×	358 1.0×	221 1.5×	136 1.3×	13	915
Paul R. Kasher United Kingdom	12	305 0.6×	384 0.7×	192 0.6×	178 1.2×	153 1.5×	29	847
Jun-ichi Niwa Japan	8	417 0.8×	334 0.6×	203 0.6×	112 0.8×	98 1.0×	9	653
Christine Bareil Canada	8	464 0.9×	412 0.8×	241 0.7×	78 0.5×	128 1.2×	8	750

Countries citing papers authored by Kevin Drenner

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Drenner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Drenner

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Soldi, Raffaella, Tithi Ghosh, Hariprasad Vankayalapati, et al.. (2021). The Small Molecule BC-2059 Inhibits Wingless/Integrated (Wnt)-Dependent Gene Transcription in Cancer through Disruption of the Transducin β-Like 1-β-Catenin Protein Complex. Journal of Pharmacology and Experimental Therapeutics. 378(2). 77–86. 11 indexed citations

Kaadige, Mohan R., et al.. (2021). Abstract 1175: Identification of novel combination therapies with the LSD1 inhibitor SP-2577 (Seclidemstat) in Ewing's Sarcoma using a complete druggable CRISPR library approach. Cancer Research. 81(13_Supplement). 1175–1175. 1 indexed citations

Drenner, Kevin, Gargi D. Basu, Laurie J. Goodman, et al.. (2021). The value of comprehensive genomic sequencing to maximize the identification of clinically actionable alterations in advanced cancer patients: a case series. Oncotarget. 12(18). 1836–1847. 1 indexed citations

Soldi, Raffaella, Tithi Ghosh, Kevin Drenner, et al.. (2020). The novel reversible LSD1 inhibitor SP-2577 promotes anti-tumor immunity in SWItch/Sucrose-NonFermentable (SWI/SNF) complex mutated ovarian cancer. PLoS ONE. 15(7). e0235705–e0235705. 60 indexed citations

Basu, Gargi D., et al.. (2020). Whole exome and transcriptome sequencing of colorectal and pancreatic cancer.. Journal of Clinical Oncology. 38(15_suppl). e15666–e15666.

Melamed, Ze’ev, Jone López‐Erauskin, Michael W. Baughn, et al.. (2019). Premature polyadenylation-mediated loss of stathmin-2 is a hallmark of TDP-43-dependent neurodegeneration. Nature Neuroscience. 22(2). 180–190. 339 indexed citations breakdown →

Lorch, Gwendolen, Karthigayini Sivaprakasam, Victoria Zismann, et al.. (2019). Identification of Recurrent Activating HER2 Mutations in Primary Canine Pulmonary Adenocarcinoma. Clinical Cancer Research. 25(19). 5866–5877. 28 indexed citations

Costello, Collin M., Nan Zhang, Richard Butterfield, et al.. (2018). The prognostic value of inositol polyphosphate 5-phosphatase in cutaneous squamous cell carcinoma. Journal of the American Academy of Dermatology. 80(3). 626–632.e1. 14 indexed citations

Cheng, Weiwei, Shaopeng Wang, Chenglai Fu, et al.. (2017). C9ORF72 GGGGCC repeat-associated non-AUG translation is upregulated by stress through eIF2α phosphorylation. Nature Communications. 9(1). 51–51. 148 indexed citations

10.

Ditsworth, Dara, Melissa McAlonis‐Downes, Shuying Sun, et al.. (2017). Mutant TDP-43 within motor neurons drives disease onset but not progression in amyotrophic lateral sclerosis. Acta Neuropathologica. 133(6). 907–922. 53 indexed citations

11.

Scekic‐Zahirovic, Jelena, Hajer El Oussini, Sina Mersmann, et al.. (2017). Motor neuron intrinsic and extrinsic mechanisms contribute to the pathogenesis of FUS-associated amyotrophic lateral sclerosis. Acta Neuropathologica. 133(6). 887–906. 77 indexed citations

12.

Sun, Shuying, Ying Sun, Shuo‐Chien Ling, et al.. (2015). Translational profiling identifies a cascade of damage initiated in motor neurons and spreading to glia in mutant SOD1-mediated ALS. Proceedings of the National Academy of Sciences. 112(50). E6993–7002. 149 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.

Explore authors with similar magnitude of impact