Michael Waddell

673 total citations
25 papers, 527 citations indexed

About

Michael Waddell is a scholar working on Epidemiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Michael Waddell has authored 25 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 7 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Michael Waddell's work include Data-Driven Disease Surveillance (11 papers), Influenza Virus Research Studies (7 papers) and Lung Cancer Treatments and Mutations (3 papers). Michael Waddell is often cited by papers focused on Data-Driven Disease Surveillance (11 papers), Influenza Virus Research Studies (7 papers) and Lung Cancer Treatments and Mutations (3 papers). Michael Waddell collaborates with scholars based in United States and Australia. Michael Waddell's co-authors include Michele L. DeRider, John L. Markley, Ronald T. Raines, Frank Weinhold, Steven J. Wilkens, Lynn E. Bretscher, Harold J. Fallon, David Page, John D. Shaughnessy and Shital Shah and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Michael Waddell

21 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Waddell United States 10 302 102 88 79 59 25 527
Martin Wong United States 11 376 1.2× 89 0.9× 33 0.4× 33 0.4× 28 0.5× 20 566
О. А. Кост Russia 18 428 1.4× 24 0.2× 52 0.6× 27 0.3× 5 0.1× 68 813
Soumendra Rana India 15 237 0.8× 45 0.4× 15 0.2× 24 0.3× 49 0.8× 34 522
Andrea Catte United States 14 506 1.7× 35 0.3× 29 0.3× 13 0.2× 17 0.3× 27 723
Changpeng� Hu China 15 447 1.5× 46 0.5× 70 0.8× 30 0.4× 6 0.1× 36 818
Fedor N. Novikov Russia 14 348 1.2× 157 1.5× 17 0.2× 25 0.3× 27 0.5× 43 803
Michael Harder Germany 6 200 0.7× 70 0.7× 94 1.1× 21 0.3× 57 1.0× 11 444
Mark L. Peterson United States 9 604 2.0× 554 5.4× 25 0.3× 17 0.2× 14 0.2× 14 1.0k
Krystian Kubica Poland 10 226 0.7× 25 0.2× 22 0.3× 39 0.5× 15 0.3× 31 436
Mathias Hoechli Russia 10 569 1.9× 70 0.7× 20 0.2× 13 0.2× 24 0.4× 10 902

Countries citing papers authored by Michael Waddell

Since Specialization
Citations

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

Fields of papers citing papers by Michael Waddell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Waddell

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Waddell. A scholar is included among the top collaborators of Michael Waddell 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 Michael Waddell. Michael Waddell 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.
Shah, Shital, et al.. (2017). Utility of Natural Language Processing for Clinical Quality Measures Reporting. Online Journal of Public Health Informatics. 9(1). 1 indexed citations
2.
Shah, Shital, et al.. (2016). The Impact of Documentation Style on Influenza-Like Illness Rates in the Emergency Department. Online Journal of Public Health Informatics. 8(1).
3.
Shah, Shital, et al.. (2015). Clinical Predictors for Laboratory-Confirmed Influenza Infections: Exploring Case Definitions for Influenza-Like Illness. Infection Control and Hospital Epidemiology. 36(3). 241–248. 27 indexed citations
4.
Trenholme, Gordon M., et al.. (2015). Creating a Local Geographic Influenza-like Illness Activity Report. Online Journal of Public Health Informatics. 7(1). 1 indexed citations
5.
Shah, Shital, et al.. (2013). Comparing the accuracy of syndrome surveillance systems in detecting influenza-like illness: GUARDIAN vs. RODS vs. electronic medical record reports. Artificial Intelligence in Medicine. 59(3). 169–174. 10 indexed citations
6.
Ulmer, Brian, et al.. (2013). Use of a Subcutaneous Insulin Computerized GlucoStabilizer<sup>™</sup> Program on Glycemic Control in the Intensive Care Setting: a Retrospective Data Analysis. Digital Commons @ Butler University (Butler University). 1(1). 29–35. 3 indexed citations
7.
Shah, Shital, et al.. (2013). A Novel Syndrome Definition Validation Approach for Rarely Occurring Diseases. Online Journal of Public Health Informatics. 5(1).
8.
Bayram, Jamil D., et al.. (2012). The impact of alternative diagnoses on the utility of influenza-like illness case definition to detect the 2009 H1N1 pandemic. American Journal of Disaster Medicine. 7(2). 105–110. 2 indexed citations
9.
Silva, Julio, et al.. (2011). Disease model fitness and threshold creation for surveillance of infectious diseases. 4(0). 1 indexed citations
10.
11.
Khawaja, Muhammad Rizwan, Michael Waddell, D. I. Jones, et al.. (2011). Phase I study of everolimus (RAD001) and AMG 479 in patients (pts) with advanced solid tumors and colorectal cancer (CRC).. Journal of Clinical Oncology. 29(15_suppl). TPS157–TPS157. 1 indexed citations
12.
13.
Waddell, Michael, et al.. (2009). Antidiabetic Therapy Before and 1 Year After Discharge for Patients Manifesting In-Hospital Hyperglycemia. Postgraduate Medicine. 121(3). 61–66. 6 indexed citations
14.
Hahn, Noah M., Walter M. Stadler, Robin Zoň, et al.. (2009). A multicenter phase II study of cisplatin (C), gemcitabine (G), and bevacizumab (B) as first-line chemotherapy for metastatic urothelial carcinoma (UC): Hoosier Oncology Group GU-0475. Journal of Clinical Oncology. 27(15_suppl). 5018–5018. 9 indexed citations
15.
Chiorean, E. Gabriela, David Jones, Michael Waddell, et al.. (2007). A phase I dose escalation trial of the VEGFR tyrosine kinase inhibitor, PTK787/ ZK222584 (PTK/ZK), used in combination with paclitaxel in patients with advanced solid tumors with pharmacokinetic (PK) analysis. Journal of Clinical Oncology. 25(18_suppl). 14012–14012. 1 indexed citations
16.
Waddell, Michael, David Page, & John D. Shaughnessy. (2005). Predicting cancer susceptibility from single-nucleotide polymorphism data. 21–28. 41 indexed citations
17.
Hardin, Johanna, Michael Waddell, C. David Page, et al.. (2004). Evaluation of Multiple Models to Distinguish Closely Related Forms of Disease Using DNA Microarray Data: an Application to Multiple Myeloma. Statistical Applications in Genetics and Molecular Biology. 3(1). 1–21. 11 indexed citations
18.
DeRider, Michele L., Steven J. Wilkens, Michael Waddell, et al.. (2002). Collagen Stability:  Insights from NMR Spectroscopic and Hybrid Density Functional Computational Investigations of the Effect of Electronegative Substituents on Prolyl Ring Conformations. Journal of the American Chemical Society. 124(11). 2497–2505. 295 indexed citations
19.
Page, David, Fenghuang Zhan, James Cussens, et al.. (2002). Comparative Data Mining for Microarrays: A Case Study Based on Multiple Myeloma. Minds at UW (University of Wisconsin). 16 indexed citations
20.
Waddell, Michael & Harold J. Fallon. (1973). The Effect of High-Carbohydrate Diets on Liver Triglyceride Formation in the Rat. Journal of Clinical Investigation. 52(11). 2725–2731. 64 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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