Diane Wuest

466 total citations
14 papers, 347 citations indexed

About

Diane Wuest is a scholar working on Oncology, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Diane Wuest has authored 14 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Diane Wuest's work include Barrier Structure and Function Studies (3 papers), Computational Drug Discovery Methods (3 papers) and Multiple Myeloma Research and Treatments (3 papers). Diane Wuest is often cited by papers focused on Barrier Structure and Function Studies (3 papers), Computational Drug Discovery Methods (3 papers) and Multiple Myeloma Research and Treatments (3 papers). Diane Wuest collaborates with scholars based in United States, Austria and Norway. Diane Wuest's co-authors include Kelvin H. Lee, G. Adolph Ackerman, J. J. Rinehart, Sarah W. Harcum, Boris Hayete, Iya Khalil, Jeanne C. Latourelle, Tiffany C. Hadzi, Bruce W. Church and Robert E. Miller and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Diane Wuest

14 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diane Wuest United States 7 93 92 81 45 45 14 347
Sarah Teuber‐Hanselmann Germany 13 119 1.3× 47 0.5× 53 0.7× 53 1.2× 59 1.3× 22 412
Yang‐Wuyue Liu China 10 169 1.8× 90 1.0× 66 0.8× 31 0.7× 101 2.2× 17 436
Qinchuan Liang China 10 144 1.5× 125 1.4× 46 0.6× 70 1.6× 41 0.9× 17 396
М. Н. Захарова Russia 8 75 0.8× 138 1.5× 83 1.0× 38 0.8× 14 0.3× 106 328
Jonathan L. Carter United States 7 98 1.1× 116 1.3× 42 0.5× 33 0.7× 95 2.1× 12 468
Isabelle Paré Canada 9 91 1.0× 33 0.4× 107 1.3× 40 0.9× 77 1.7× 18 364
Christina B. Schroeter Germany 13 118 1.3× 72 0.8× 52 0.6× 38 0.8× 46 1.0× 29 307
Katie Mayne United Kingdom 8 164 1.8× 56 0.6× 66 0.8× 91 2.0× 35 0.8× 10 397
Carolina Cruciani Italy 8 143 1.5× 94 1.0× 157 1.9× 33 0.7× 149 3.3× 11 517
Sayaka Ono Japan 9 202 2.2× 107 1.2× 47 0.6× 85 1.9× 27 0.6× 25 410

Countries citing papers authored by Diane Wuest

Since Specialization
Citations

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

Fields of papers citing papers by Diane Wuest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Wuest

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

All Works

14 of 14 papers shown
1.
Messner, Donna A., Peter V. Rabins, Michael C. Irizarry, et al.. (2019). Designing Trials of Disease Modifying Agents for Early and Preclinical Alzheimer's Disease Intervention: What Evidence is Meaningful to Patients, Providers, and Payers?. The Journal of Prevention of Alzheimer s Disease. 6(1). 20–26. 4 indexed citations
2.
Das, Rahul, Leon Furchtgott, Fang‐Shu Ou, et al.. (2018). Causal modeling of CALGB/SWOG 80405 (Alliance) identifies primary (1°) side-related angiogenic drivers of metastatic colorectal cancer (mCRC). Annals of Oncology. 29. viii152–viii152. 1 indexed citations
3.
Bolomsky, Arnold, Fred K. Gruber, Leon Furchtgott, et al.. (2018). Preclinical Validation Studies Support Causal Machine Learning Based Identification of Novel Drug Targets for High-Risk Multiple Myeloma. Blood. 132(Supplement 1). 3210–3210. 3 indexed citations
4.
Furchtgott, Leon, Arnold Bolomsky, Fred K. Gruber, et al.. (2017). Multiple Myeloma Drivers of High Risk and Response to Stem Cell Transplantation Identified By Causal Machine Learning: Out-of-Cohort and Experimental Validation. Blood. 130. 3029–3029. 2 indexed citations
5.
Furchtgott, Leon, David Swanson, Boris Hayete, et al.. (2017). Statistical modeling of CALGB 80405 (Alliance) to identify influential factors in metastatic colorectal cancer (CRC) dependent on primary (1o) tumor side.. Journal of Clinical Oncology. 35(15_suppl). 3528–3528. 1 indexed citations
6.
Latourelle, Jeanne C., Michael T. Beste, Tiffany C. Hadzi, et al.. (2017). Large-scale identification of clinical and genetic predictors of motor progression in patients with newly diagnosed Parkinson's disease: a longitudinal cohort study and validation. The Lancet Neurology. 16(11). 908–916. 106 indexed citations
7.
Hayete, Boris, Diane Wuest, Jason M. Laramie, et al.. (2017). A Bayesian mathematical model of motor and cognitive outcomes in Parkinson’s disease. PLoS ONE. 12(6). e0178982–e0178982. 10 indexed citations
8.
Gruber, Fred K., Jonathan J. Keats, Kyle McBride, et al.. (2016). Bayesian Network Models of Multiple Myeloma: Drivers of High Risk and Durable Response. Blood. 128(22). 4406–4406. 5 indexed citations
9.
Wuest, Diane & Kelvin H. Lee. (2014). Amyloid‐β concentration and structure influences the transport and immunomodulatory effects ofIVIG. Journal of Neurochemistry. 130(1). 136–144. 2 indexed citations
10.
Wuest, Diane, et al.. (2012). Membrane configuration optimization for a murine in vitro blood–brain barrier model. Journal of Neuroscience Methods. 212(2). 211–221. 65 indexed citations
11.
Wuest, Diane & Kelvin H. Lee. (2011). Optimization of endothelial cell growth in a murine in vitro blood–brain barrier model. Biotechnology Journal. 7(3). 409–417. 27 indexed citations
12.
Wuest, Diane, Sarah W. Harcum, & Kelvin H. Lee. (2011). Genomics in mammalian cell culture bioprocessing. Biotechnology Advances. 30(3). 629–638. 44 indexed citations
13.
Rinehart, J. J., Diane Wuest, & G. Adolph Ackerman. (1982). Corticosteroid alteration of human monocyte to macrophage differentiation.. The Journal of Immunology. 129(4). 1436–1440. 59 indexed citations
14.
Wuest, Diane, et al.. (1981). Enhancement of Fc receptor function during human monocyte differentiation in vitro.. PubMed. 30(2). 147–55. 18 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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