Thomas Leete

2.8k total citations
10 papers, 2.0k citations indexed

About

Thomas Leete is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thomas Leete has authored 10 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thomas Leete's work include Parkinson's Disease Mechanisms and Treatments (3 papers), CRISPR and Genetic Engineering (2 papers) and Nuclear Receptors and Signaling (2 papers). Thomas Leete is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), CRISPR and Genetic Engineering (2 papers) and Nuclear Receptors and Signaling (2 papers). Thomas Leete collaborates with scholars based in United States, Germany and Denmark. Thomas Leete's co-authors include Asa Abeliovich, Cécile Martinat, Shoshana Shendelman, Alan S. Jonason, David MacLeod, Rachel Hammond, Keiichi Inoue, Lichuan Yang, Thomas Floß and M. Flint Beal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Thomas Leete

10 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Leete United States	10	991	826	551	310	243	10	2.0k
Roger Belizaire United States	16	740 0.7×	577 0.7×	400 0.7×	280 0.9×	182 0.7×	30	1.7k
Reinhard Sedlmeier Germany	20	542 0.5×	364 0.4×	201 0.4×	239 0.8×	169 0.7×	35	1.5k
John F. Staropoli United States	18	975 1.0×	569 0.7×	266 0.5×	728 2.3×	172 0.7×	29	2.0k
Christian Bernreuther Germany	34	1.4k 1.5×	249 0.3×	654 1.2×	525 1.7×	680 2.8×	75	3.3k
Delphine Bohl France	26	1.4k 1.4×	342 0.4×	306 0.6×	375 1.2×	130 0.5×	52	2.5k
Jeehye Park South Korea	19	994 1.0×	745 0.9×	452 0.8×	321 1.0×	184 0.8×	39	1.8k
Gayathri Perera United Kingdom	15	320 0.3×	377 0.5×	136 0.2×	396 1.3×	190 0.8×	22	2.0k
Toshiyuki Fukazawa Japan	31	857 0.9×	379 0.5×	336 0.6×	97 0.3×	103 0.4×	97	2.7k
Gunnar P.H. Dietz Germany	27	1.6k 1.6×	169 0.2×	536 1.0×	204 0.7×	292 1.2×	48	2.3k
Hongfeng Wang China	25	1.0k 1.0×	727 0.9×	316 0.6×	211 0.7×	121 0.5×	48	1.8k

Countries citing papers authored by Thomas Leete

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Leete

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Leete

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

All Works

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10 of 10 papers shown

Cruz‐Gordillo, Peter, et al.. (2020). ELP-dependent expression of MCL1 promotes resistance to EGFR inhibition in triple-negative breast cancer cells. Science Signaling. 13(658). 15 indexed citations

Yu, Yi, Thomas Leete, David A. Born, et al.. (2020). Cytosine base editors with minimized unguided DNA and RNA off-target events and high on-target activity. Nature Communications. 11(1). 2052–2052. 151 indexed citations

Leete, Thomas, Peter Cruz‐Gordillo, Hannah Schwartz, et al.. (2018). Tumor‐stroma interactions differentially alter drug sensitivity based on the origin of stromal cells. Molecular Systems Biology. 14(8). e8322–e8322. 33 indexed citations

Werth, Max, Kai M. Schmidt‐Ott, Thomas Leete, et al.. (2017). Transcription factor TFCP2L1 patterns cells in the mouse kidney collecting ducts. eLife. 6. 89 indexed citations

Joste, Nancy E., Brigitte M. Ronnett, William C. Hunt, et al.. (2014). Human Papillomavirus Genotype-Specific Prevalence across the Continuum of Cervical Neoplasia and Cancer. Cancer Epidemiology Biomarkers & Prevention. 24(1). 230–240. 32 indexed citations

Paragas, Neal, Renée M. Ned, Andong Qiu, et al.. (2009). Scara5 Is a Ferritin Receptor Mediating Non-Transferrin Iron Delivery. Developmental Cell. 16(1). 35–46. 283 indexed citations

MacLeod, David, et al.. (2006). The Familial Parkinsonism Gene LRRK2 Regulates Neurite Process Morphology. Neuron. 52(4). 587–593. 456 indexed citations

Martinat, Cécile, Thomas Leete, Jong‐Pil Kim, et al.. (2006). Cooperative transcription activation by Nurr1 and Pitx3 induces embryonic stem cell maturation to the midbrain dopamine neuron phenotype. Proceedings of the National Academy of Sciences. 103(8). 2874–2879. 171 indexed citations

Shendelman, Shoshana, Alan S. Jonason, Cécile Martinat, Thomas Leete, & Asa Abeliovich. (2004). DJ-1 Is a Redox-Dependent Molecular Chaperone That Inhibits α-Synuclein Aggregate Formation. PLoS Biology. 2(11). e362–e362. 486 indexed citations

10.

Martinat, Cécile, Shoshana Shendelman, Alan S. Jonason, et al.. (2004). Sensitivity to Oxidative Stress in DJ-1-Deficient Dopamine Neurons: An ES- Derived Cell Model of Primary Parkinsonism. PLoS Biology. 2(11). e327–e327. 296 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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