Brook T. Wassie

594 total citations
5 papers, 181 citations indexed

About

Brook T. Wassie is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Brook T. Wassie has authored 5 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 1 paper in Computational Theory and Mathematics. Recurrent topics in Brook T. Wassie's work include Genetic Neurodegenerative Diseases (3 papers), Receptor Mechanisms and Signaling (1 paper) and Glycosylation and Glycoproteins Research (1 paper). Brook T. Wassie is often cited by papers focused on Genetic Neurodegenerative Diseases (3 papers), Receptor Mechanisms and Signaling (1 paper) and Glycosylation and Glycoproteins Research (1 paper). Brook T. Wassie collaborates with scholars based in United States, Germany and United Kingdom. Brook T. Wassie's co-authors include Ernest Fraenkel, Miriam Adam, Pamela Milani, Natasha Leanna Patel-Murray, Bernhard Suter, Ryan G. Lim, Fei Tao, Ge Yang, Jan Kubíček and Leslie M. Thompson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Brook T. Wassie

5 papers receiving 179 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brook T. Wassie United States	5	130	40	18	14	11	5	181
Eduardo Jardón‐Valadez Mexico	11	239 1.8×	73 1.8×	21 1.2×	44 3.1×	11 1.0×	21	335
Miriam Adam United States	8	284 2.2×	28 0.7×	8 0.4×	42 3.0×	10 0.9×	10	348
Mehmet Ali Öztürk Germany	10	244 1.9×	36 0.9×	6 0.3×	37 2.6×	15 1.4×	21	306
Jeong H. Choi United States	5	233 1.8×	91 2.3×	28 1.6×	12 0.9×	6 0.5×	5	296
Jennifer Liddle United States	8	148 1.1×	15 0.4×	18 1.0×	28 2.0×	5 0.5×	13	216
G. Poncet-Montange United States	9	166 1.3×	22 0.6×	7 0.4×	20 1.4×	12 1.1×	10	204
Ivan Silbern Germany	8	140 1.1×	30 0.8×	43 2.4×	8 0.6×	6 0.5×	14	206
Peter Kolosov Russia	11	263 2.0×	39 1.0×	30 1.7×	28 2.0×	4 0.4×	28	330
Shula Shazman Israel	10	232 1.8×	38 0.9×	6 0.3×	35 2.5×	5 0.5×	18	287
Miklós Képiró Hungary	6	166 1.3×	35 0.9×	86 4.8×	9 0.6×	8 0.7×	10	288

Countries citing papers authored by Brook T. Wassie

Since Specialization

Citations

This map shows the geographic impact of Brook T. Wassie'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 Brook T. Wassie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brook T. Wassie more than expected).

Fields of papers citing papers by Brook T. Wassie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brook T. Wassie. 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 Brook T. Wassie. The network helps show where Brook T. Wassie may publish in the future.

Co-authorship network of co-authors of Brook T. Wassie

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

All Works

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5 of 5 papers shown

1.

Hernandez, Sarah, Ryan G. Lim, Miriam Adam, et al.. (2020). Aberrant Development Corrected in Adult-Onset Huntington's Disease iPSC-Derived Neuronal Cultures via WNT Signaling Modulation. Stem Cell Reports. 14(3). 406–419. 35 indexed citations

2.

Patel-Murray, Natasha Leanna, et al.. (2020). A Multi-Omics Interpretable Machine Learning Model Reveals Modes of Action of Small Molecules. Scientific Reports. 10(1). 954–954. 61 indexed citations

3.

Kedaigle, Amanda J., Jack C. Reidling, Ryan G. Lim, et al.. (2019). Treatment with JQ1, a BET bromodomain inhibitor, is selectively detrimental to R6/2 Huntington’s disease mice. Human Molecular Genetics. 29(2). 202–215. 12 indexed citations

4.

Zhang, Shuguang, Fei Tao, Rui Qing, et al.. (2018). QTY code enables design of detergent-free chemokine receptors that retain ligand-binding activities. Proceedings of the National Academy of Sciences. 115(37). E8652–E8659. 48 indexed citations

5.

Pirhaji, Leila, Pamela Milani, Simona Dalin, et al.. (2017). Identifying therapeutic targets by combining transcriptional data with ordinal clinical measurements. Nature Communications. 8(1). 623–623. 25 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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