Steve Titus

987 total citations
20 papers, 393 citations indexed

About

Steve Titus is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Steve Titus has authored 20 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Steve Titus's work include Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (8 papers) and Thyroid Disorders and Treatments (5 papers). Steve Titus is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (8 papers) and Thyroid Disorders and Treatments (5 papers). Steve Titus collaborates with scholars based in United States, United Kingdom and Australia. Steve Titus's co-authors include Noel Southall, Wei Zheng, Craig J. Thomas, Marvin C. Gershengorn, Susanne Neumann, James Inglese, Wenwei Huang, Christopher P. Austin, Christopher P. Austin and Elena Eliseeva and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Endocrine Reviews.

In The Last Decade

Steve Titus

19 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Titus United States 10 263 122 109 39 35 20 393
Sofia Zanin Italy 13 437 1.7× 79 0.6× 20 0.2× 41 1.1× 15 0.4× 21 547
Michelle A. Emrick United States 9 374 1.4× 99 0.8× 34 0.3× 9 0.2× 11 0.3× 16 487
Kuang-Yui Michael Chen United States 11 396 1.5× 125 1.0× 12 0.1× 28 0.7× 26 0.7× 12 531
Donna L. Pedicord United States 13 193 0.7× 66 0.5× 34 0.3× 76 1.9× 16 0.5× 16 509
Alexander R. Harmer United Kingdom 11 279 1.1× 103 0.8× 14 0.1× 16 0.4× 28 0.8× 19 514
Yubo Cao China 10 255 1.0× 113 0.9× 16 0.1× 13 0.3× 37 1.1× 17 354
Naofumi Yui Japan 13 493 1.9× 82 0.7× 47 0.4× 12 0.3× 11 0.3× 17 629
Suma I. Shimuta Brazil 14 285 1.1× 112 0.9× 70 0.6× 155 4.0× 21 0.6× 34 479
Khanh K. Dao Norway 6 399 1.5× 96 0.8× 26 0.2× 14 0.4× 14 0.4× 6 519
Kumaran Shanmugasundaram United States 6 253 1.0× 44 0.4× 22 0.2× 10 0.3× 8 0.2× 7 425

Countries citing papers authored by Steve Titus

Since Specialization
Citations

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

Fields of papers citing papers by Steve Titus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Titus

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

All Works

20 of 20 papers shown
1.
Hsu, Chih‐Yang, Steve R. Hood, Steve Titus, et al.. (2023). Evaluating virtual staining for high-throughput screening. University of Birmingham Research Portal (University of Birmingham). 1–5. 2 indexed citations
2.
Conroy, Jennie, R. Benjamin Free, Noel Southall, et al.. (2018). Identification of Positive Allosteric Modulators of the D1 Dopamine Receptor That Act at Diverse Binding Sites. Molecular Pharmacology. 94(4). 1197–1209. 29 indexed citations
3.
Dai, Sheng, Rong Li, Yan Long, et al.. (2016). One-Step Seeding of Neural Stem Cells with Vitronectin-Supplemented Medium for High-Throughput Screening Assays. SLAS DISCOVERY. 21(10). 1112–1124. 8 indexed citations
4.
Griner, Lesley A. Mathews, Xiaohu Zhang, Rajarshi Guha, et al.. (2016). Large-scale pharmacological profiling of 3D tumor models of cancer cells. Cell Death and Disease. 7(12). e2492–e2492. 23 indexed citations
5.
Abera, Mahlet, Jingbo Xiao, Steve Titus, et al.. (2016). ML372 blocks SMN ubiquitination and improves spinal muscular atrophy pathology in mice. JCI Insight. 1(19). e88427–e88427. 18 indexed citations
6.
Rees, Matthew G., Mindy I. Davis, Min Shen, et al.. (2014). A Panel of Diverse Assays to Interrogate the Interaction between Glucokinase and Glucokinase Regulatory Protein, Two Vital Proteins in Human Disease. PLoS ONE. 9(2). e89335–e89335. 5 indexed citations
7.
Xiao, Jingbo, R. Benjamin Free, Elena Barnaeva, et al.. (2014). Discovery, Optimization, and Characterization of Novel D2 Dopamine Receptor Selective Antagonists. Journal of Medicinal Chemistry. 57(8). 3450–3463. 21 indexed citations
8.
Xiao, Jingbo, R. Benjamin Free, Elena Barnaeva, et al.. (2013). Discovery, optimization, and characterization of a novel series of dopamine D2 versus D3 receptor selective antagonists.
9.
Huang, Wenwei, Steve Titus, Noel Southall, et al.. (2013). Identification of Thyroid Stimulating Hormone Receptor Inverse Agonists. 3 indexed citations
10.
Titus, Steve, Natalie Elia, Noel Southall, et al.. (2011). Identification of compounds which inhibit cytotoxicity associated with mutant Huntingtin protein expression. 1 indexed citations
11.
Xiao, Jingbo, Juan Marugán, Wei Zheng, et al.. (2011). Discovery, Synthesis, and Biological Evaluation of Novel SMN Protein Modulators. Journal of Medicinal Chemistry. 54(18). 6215–6233. 32 indexed citations
12.
Titus, Steve, Wenwei Huang, Juan Marugán, et al.. (2011). Identification of Potent and Selective Thyroid Stimulating Hormone Receptor Agonists. 2 indexed citations
13.
Neumann, Susanne, et al.. (2010). A Small Molecule Inverse Agonist for the Human Thyroid-Stimulating Hormone Receptor. Endocrine Reviews. 31(3). 403–403. 2 indexed citations
14.
Titus, Steve, Juan Marugán, Noel Southall, et al.. (2010). High throughput screening for SMA. 1 indexed citations
15.
Frankowski, Kevin J., Samarjit Patnaik, Frank J. Schoenen, et al.. (2010). Discovery and Development of Small Molecules That Reduce PNC Prevalence. Europe PMC (PubMed Central). 4 indexed citations
16.
Neumann, Susanne, Wenwei Huang, Elena Eliseeva, et al.. (2010). A Small Molecule Inverse Agonist for the Human Thyroid-Stimulating Hormone Receptor. Endocrinology. 151(7). 3454–3459. 48 indexed citations
17.
Neumann, Susanne, Wenwei Huang, Steve Titus, et al.. (2009). Small-molecule agonists for the thyrotropin receptor stimulate thyroid function in human thyrocytes and mice. Proceedings of the National Academy of Sciences. 106(30). 12471–12476. 94 indexed citations
18.
Kajiyama, Hiroshi, Steve Titus, Christopher P. Austin, et al.. (2008). Tetracycline-Inducible Gene Expression in Conditionally Immortalized Mouse Podocytes. American Journal of Nephrology. 29(3). 153–163. 17 indexed citations
19.
Titus, Steve, Susanne Neumann, Wei Zheng, et al.. (2008). Quantitative High-Throughput Screening Using a Live-Cell cAMP Assay Identifies Small-Molecule Agonists of the TSH Receptor. SLAS DISCOVERY. 13(2). 120–127. 48 indexed citations
20.
Liu, Ke, Steve Titus, Noel Southall, et al.. (2008). Comparison on Functional Assays for Gq-Coupled GPCRs by Measuring Inositol Monophospate-1 and Intracellular Calcium in 1536-Well Plate Format. PubMed. 1. 70–78. 35 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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