Jo Wick

1.6k total citations · 1 hit paper
67 papers, 1.0k citations indexed

About

Jo Wick is a scholar working on Public Health, Environmental and Occupational Health, Oncology and Statistics and Probability. According to data from OpenAlex, Jo Wick has authored 67 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Public Health, Environmental and Occupational Health, 12 papers in Oncology and 12 papers in Statistics and Probability. Recurrent topics in Jo Wick's work include Statistical Methods in Clinical Trials (12 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers) and Statistical Methods and Bayesian Inference (5 papers). Jo Wick is often cited by papers focused on Statistical Methods in Clinical Trials (12 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers) and Statistical Methods and Bayesian Inference (5 papers). Jo Wick collaborates with scholars based in United States, Canada and Switzerland. Jo Wick's co-authors include Lauren Clark, Grace Shih, Kimber P. Richter, Robert D. Simari, Dianne Durham, Christie A. Befort, Pamela A. Shaw, Érica Cruvinel, Carol E. Smith and Ubolrat Piamjariyakul and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jo Wick

61 papers receiving 1.0k citations

Hit Papers

Women Physicians and Promotion in Academic Medicine 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jo Wick United States 16 280 260 149 140 128 67 1.0k
Valentine Nfonsam United States 22 337 1.2× 325 1.3× 437 2.9× 75 0.5× 111 0.9× 78 1.4k
Ralph C. Quillin United States 24 470 1.7× 303 1.2× 189 1.3× 279 2.0× 100 0.8× 99 1.6k
Leah M. Backhus United States 22 203 0.7× 193 0.7× 341 2.3× 77 0.6× 94 0.7× 131 1.5k
Ryuichi Kawamoto Japan 20 135 0.5× 64 0.2× 99 0.7× 338 2.4× 133 1.0× 59 1.1k
Ayesha M. Imam United States 23 343 1.2× 72 0.3× 80 0.5× 195 1.4× 46 0.4× 34 1.4k
Vahagn C. Nikolian United States 22 300 1.1× 80 0.3× 129 0.9× 109 0.8× 101 0.8× 50 1.2k
Vu T. Nguyen United States 21 345 1.2× 343 1.3× 83 0.6× 23 0.2× 105 0.8× 73 1.2k
Amy N. Luckenbaugh United States 17 240 0.9× 247 0.9× 242 1.6× 59 0.4× 355 2.8× 66 1.8k
Elizabeth N. Dewey United States 17 110 0.4× 96 0.4× 114 0.8× 95 0.7× 64 0.5× 87 1.1k
Nawar A. Alkhamesi Canada 16 135 0.5× 143 0.6× 209 1.4× 29 0.2× 64 0.5× 45 911

Countries citing papers authored by Jo Wick

Since Specialization
Citations

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

Fields of papers citing papers by Jo Wick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jo Wick

This figure shows the co-authorship network connecting the top 25 collaborators of Jo Wick. A scholar is included among the top collaborators of Jo Wick 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 Jo Wick. Jo Wick 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.
Scheuermann, Taneisha S., Lauren Clark, Deepika Polineni, et al.. (2024). Race, Gender, and Faculty Retention in Academic Medicine. JAMA Network Open. 7(11). e2445143–e2445143. 4 indexed citations
2.
Mudaranthakam, Dinesh Pal, Jo Wick, David Streeter, et al.. (2024). Using Bayesian hierarchical modeling for performance evaluation of clinical trial accrual for a cancer center. Contemporary Clinical Trials Communications. 38. 101281–101281.
3.
Mudaranthakam, Dinesh Pal, Nicole L. Nollen, Jo Wick, et al.. (2023). Evaluating Work Impairment as a Source of Financial Toxicity in Cancer Healthcare and Negative Impacts on Health Status. Cancer Research Communications. 3(7). 1166–1172. 4 indexed citations
4.
Karan, Dev, Jo Wick, Seema Dubey, et al.. (2023). Racial differences in serum chemokines in prostate cancer patients. Cancer. 129(23). 3783–3789. 2 indexed citations
5.
Wick, Jo, et al.. (2023). Online Infectious Diseases Subspecialty Supplementary Curriculum for Medical Students and Residents: Moving Beyond “You Get What You Get”. SHILAP Revista de lepidopterología. 10. 2347562630–2347562630.
6.
Gajewski, Byron J., Jo Wick, Jeffrey L. Saver, et al.. (2022). Optimizing a Bayesian hierarchical adaptive platform trial design for stroke patients. Trials. 23(1). 754–754. 7 indexed citations
8.
Mudaranthakam, Dinesh Pal, Milind A. Phadnis, Ron Krebill, et al.. (2020). Improving the efficiency of clinical trials by standardizing processes for Investigator Initiated Trials. Contemporary Clinical Trials Communications. 18. 100579–100579. 4 indexed citations
9.
Kilo, Sonja, Jo Wick, Thomas Göen, et al.. (2020). Impact of physiologically relevant temperatures on dermal absorption of active substances - an ex-vivo study in human skin. Toxicology in Vitro. 68. 104954–104954. 9 indexed citations
10.
Wick, Jo, et al.. (2020). Correction to: Two-stage Bayesian hierarchical modeling for blinded and unblinded safety monitoring in randomized clinical trials. BMC Medical Research Methodology. 20(1). 227–227. 1 indexed citations
11.
Alenazi, Aqeel M., Shaima Alothman, Mohammed M. Alshehri, et al.. (2019). The prevalence of type 2 diabetes and associated risk factors with generalized osteoarthritis: a retrospective study using ICD codes for clinical data repository system. Clinical Rheumatology. 38(12). 3539–3547. 24 indexed citations
12.
Kluding, Patricia M., et al.. (2019). The impact of diabetic peripheral neuropathy on pinch proprioception. Experimental Brain Research. 237(12). 3165–3174. 6 indexed citations
14.
Amin, Amanda L., et al.. (2018). Radiologic and Pathologic Features Associated With Upgrade of Atypical Ductal Hyperplasia at Surgical Excision. Academic Radiology. 26(7). 893–899. 17 indexed citations
15.
Aires, Daniel, Masaru Yoshida, Stephen K. Richardson, et al.. (2018). T-cell trafficking plays an essential role in tumor immunity. Laboratory Investigation. 99(1). 85–92. 10 indexed citations
16.
Huang, Chao, Stephen K. Williamson, Prakash Neupane, et al.. (2016). Impact Study: MK-0646 (Dalotuzumab), Insulin Growth Factor 1 Receptor Antibody Combined with Pemetrexed and Cisplatin in Stage IV Metastatic Non-squamous Lung Cancer. Frontiers in Oncology. 5. 301–301. 9 indexed citations
17.
Williamson, Stephen K., Gary A. Johnson, Kathleen N. Moore, et al.. (2015). A phase I study of intraperitoneal nanoparticulate paclitaxel (Nanotax®) in patients with peritoneal malignancies. Cancer Chemotherapy and Pharmacology. 75(5). 1075–1087. 52 indexed citations
18.
Smith, Carol E., Ubolrat Piamjariyakul, Kathleen Dalton, et al.. (2015). Nurse-Led Multidisciplinary Heart Failure Group Clinic Appointments. The Journal of Cardiovascular Nursing. 30(4S). S25–S34. 38 indexed citations
19.
Dakhil, Christopher, et al.. (2014). Extrapulmonary small cell carcinoma: the University of Kansas experience and review of literature. Medical Oncology. 31(10). 187–187. 18 indexed citations
20.
Johnson, Kirby L., et al.. (2012). Second-Trimester Diagnosis of Triploidy: A Series of Four Cases. SHILAP Revista de lepidopterología. 3(1). 37–40. 6 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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