Leah Schutt

717 total citations
10 papers, 165 citations indexed

About

Leah Schutt is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Leah Schutt has authored 10 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Immunology. Recurrent topics in Leah Schutt's work include Chronic Lymphocytic Leukemia Research (2 papers), Immune Cell Function and Interaction (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Leah Schutt is often cited by papers focused on Chronic Lymphocytic Leukemia Research (2 papers), Immune Cell Function and Interaction (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Leah Schutt collaborates with scholars based in Canada, United States and Switzerland. Leah Schutt's co-authors include Jalal Hawari, Dorin Bejan, Laurent Salphati, Nigel J. Bunce, Donna M. Dambach, Joseph A. Ware, Dylan P. Hartley, Kathy Hötzel, Rama Pai and Ning Ma and has published in prestigious journals such as Environmental Science & Technology, Journal of Pharmacology and Experimental Therapeutics and Toxicology and Applied Pharmacology.

In The Last Decade

Leah Schutt

10 papers receiving 160 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leah Schutt Canada	7	63	33	22	19	17	10	165
Katelijne De Nys Belgium	8	124 2.0×	26 0.8×	12 0.5×	14 0.7×	11 0.6×	13	255
Steven M. Blum United States	6	50 0.8×	75 2.3×	21 1.0×	26 1.4×	11 0.6×	17	205
Yumin Ke China	10	140 2.2×	54 1.6×	19 0.9×	30 1.6×	11 0.6×	28	304
Wei‐Li Liao United States	10	158 2.5×	85 2.6×	18 0.8×	26 1.4×	11 0.6×	38	342
Sicong Li United States	11	84 1.3×	16 0.5×	46 2.1×	23 1.2×	10 0.6×	35	328
Peiyuan Tang China	6	86 1.4×	72 2.2×	75 3.4×	16 0.8×	2 0.1×	7	223
Е. А. Smolyarchuk Russia	8	59 0.9×	37 1.1×	10 0.5×	8 0.4×	9 0.5×	37	224

Countries citing papers authored by Leah Schutt

Since Specialization

Citations

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

Fields of papers citing papers by Leah Schutt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leah Schutt

This figure shows the co-authorship network connecting the top 25 collaborators of Leah Schutt. A scholar is included among the top collaborators of Leah Schutt 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 Leah Schutt. Leah Schutt 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

Li, Ran, Edward Dere, Mandy Kwong, et al.. (2024). A Bispecific Modeling Framework Enables the Prediction of Efficacy, Toxicity, and Optimal Molecular Design of Bispecific Antibodies Targeting MerTK. The AAPS Journal. 26(1). 11–11. 2 indexed citations

Gadkar, Kapil, Vincent Hurez, Leslie J. Dickmann, et al.. (2021). Quantitative systems pharmacology model‐based investigation of adverse gastrointestinal events associated with prolonged treatment with PI3‐kinase inhibitors. CPT Pharmacometrics & Systems Pharmacology. 11(5). 616–627. 9 indexed citations

Schutt, Leah, et al.. (2019). Ovarian Toxicity Assessment in Histopathological Images Using Deep Learning. Toxicologic Pathology. 48(2). 350–361. 10 indexed citations

Cepa, Steven, David M. Potter, Leah Schutt, et al.. (2017). Individual serum bile acid profiling in rats aids in human risk assessment of drug-induced liver injury due to BSEP inhibition. Toxicology and Applied Pharmacology. 338. 204–213. 20 indexed citations

Schutt, Leah, Jacqueline M. Tarrant, Michelle McDowell, et al.. (2016). Bruton’s Tyrosine Kinase Small Molecule Inhibitors Induce a Distinct Pancreatic Toxicity in Rats. Journal of Pharmacology and Experimental Therapeutics. 360(1). 226–238. 12 indexed citations

Pai, Rama, Dorothy French, Ning Ma, et al.. (2012). Antibody-Mediated Inhibition of Fibroblast Growth Factor 19 Results in Increased Bile Acids Synthesis and Ileal Malabsorption of Bile Acids in Cynomolgus Monkeys. Toxicological Sciences. 126(2). 446–456. 62 indexed citations

Lillie, Brandon N., et al.. (2012). Transcriptional and proteomic analysis of endometrial and conceptus responses to cloprostenol administration in the third week of pregnancy. Journal of Equine Veterinary Science. 32(7). 407–408. 3 indexed citations

Brisson, Brigitte A., et al.. (2011). Cystic ectopic lingual thyroid tissue in a male cat. Journal of the American Veterinary Medical Association. 239(7). 981–984. 4 indexed citations

Schutt, Leah, et al.. (2010). Microchip-associated sarcoma in a shrew (Suncus murinus).. PubMed. 49(5). 638–41. 6 indexed citations

10.

Bejan, Dorin, et al.. (2004). Electrochemical Reduction of Hexahydro-1,3,5-trinitro-1,3,5-triazine in Aqueous Solutions. Environmental Science & Technology. 38(5). 1595–1599. 37 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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Breakdown of academic impact, for papers by Katelijne De Nys Breakdown of academic impact, for papers by Steven M. Blum Breakdown of academic impact, for papers by Yumin Ke Breakdown of academic impact, for papers by Wei‐Li Liao Breakdown of academic impact, for papers by Sicong Li Breakdown of academic impact, for papers by Peiyuan Tang Breakdown of academic impact, for papers by Е. А. Smolyarchuk