Johnique T. Atkins

1.0k total citations
17 papers, 603 citations indexed

About

Johnique T. Atkins is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Johnique T. Atkins has authored 17 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Johnique T. Atkins's work include Cancer Treatment and Pharmacology (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer Genomics and Diagnostics (3 papers). Johnique T. Atkins is often cited by papers focused on Cancer Treatment and Pharmacology (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer Genomics and Diagnostics (3 papers). Johnique T. Atkins collaborates with scholars based in United States. Johnique T. Atkins's co-authors include Filip Jankú, Daniel D. Karp, Patrick A. Singleton, Takeo Fujii, Muhammad Rizwan Khawaja, Courtney D. DiNardo, Razelle Kurzrock, David S. Hong, Jennifer J. Wheler and Apostolia M. Tsimberidou and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

In The Last Decade

Johnique T. Atkins

17 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johnique T. Atkins United States 12 246 160 158 122 93 17 603
Rafael Caparica Belgium 16 163 0.7× 329 2.1× 167 1.1× 255 2.1× 50 0.5× 35 579
Aditi Bapat United States 8 285 1.2× 265 1.7× 88 0.6× 60 0.5× 168 1.8× 10 686
Yi Shan China 14 231 0.9× 193 1.2× 91 0.6× 73 0.6× 44 0.5× 53 708
Fumiko Chiwaki Japan 16 465 1.9× 179 1.1× 178 1.1× 156 1.3× 26 0.3× 27 718
Magdalena U. Kurkowski Germany 4 282 1.1× 647 4.0× 147 0.9× 81 0.7× 94 1.0× 4 1.0k
Seth Porter United States 11 235 1.0× 125 0.8× 49 0.3× 287 2.4× 27 0.3× 21 799
Jinchun Yan United States 13 466 1.9× 211 1.3× 324 2.1× 165 1.4× 28 0.3× 26 807
Kiyoshi Takahara Japan 18 454 1.8× 234 1.5× 322 2.0× 331 2.7× 47 0.5× 111 1.1k
Takuya Akashi Japan 14 205 0.8× 310 1.9× 80 0.5× 128 1.0× 27 0.3× 31 748
Roberta Angioni Italy 14 270 1.1× 162 1.0× 91 0.6× 59 0.5× 17 0.2× 19 703

Countries citing papers authored by Johnique T. Atkins

Since Specialization
Citations

This map shows the geographic impact of Johnique T. Atkins'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 Johnique T. Atkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johnique T. Atkins more than expected).

Fields of papers citing papers by Johnique T. Atkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johnique T. Atkins. 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 Johnique T. Atkins. The network helps show where Johnique T. Atkins may publish in the future.

Co-authorship network of co-authors of Johnique T. Atkins

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

All Works

17 of 17 papers shown
1.
Atkins, Johnique T., Goldy C. George, Kenneth R. Hess, et al.. (2020). Pre-clinical animal models are poor predictors of human toxicities in phase 1 oncology clinical trials. British Journal of Cancer. 123(10). 1496–1501. 66 indexed citations
2.
Cox, Veronica, Priya Bhosale, Gauri R. Varadhachary, et al.. (2017). Cancer Genomics and Important Oncologic Mutations: A Contemporary Guide for Body Imagers. Radiology. 283(2). 314–340. 19 indexed citations
3.
Karp, Daniel D., et al.. (2016). Treatment with methylnaltrexone is associated with increased survival in patients with advanced cancer. Annals of Oncology. 27(11). 2032–2038. 73 indexed citations
4.
Wheler, Jennifer J., Johnique T. Atkins, Filip Jankú, et al.. (2016). Presence of both alterations in FGFR/FGF and PI3K/AKT/mTOR confer improved outcomes for patients with metastatic breast cancer treated with PI3K/AKT/mTOR inhibitors. Oncoscience. 3(5-6). 164–172. 36 indexed citations
5.
Atkins, Johnique T., et al.. (2016). Innovative Strategies for Decreasing Blood Collection Wait Times for Patients in Early-Phase Cancer Clinical Trials. Journal of Oncology Practice. 12(7). e784–e791. 3 indexed citations
6.
Fujii, Takeo, Muhammad Rizwan Khawaja, Courtney D. DiNardo, Johnique T. Atkins, & Filip Jankú. (2016). Targeting isocitrate dehydrogenase (IDH) in cancer.. PubMed. 21(117). 373–80. 114 indexed citations
7.
Moulder, Stacy L., Thorunn Helgason, Filip Jankú, et al.. (2015). Inhibition of the phosphoinositide 3-kinase pathway for the treatment of patients with metastatic metaplastic breast cancer. Annals of Oncology. 26(7). 1346–1352. 50 indexed citations
8.
Wheler, Jennifer J., Johnique T. Atkins, Filip Jankú, et al.. (2015). Multiple gene aberrations and breast cancer: lessons from super-responders. BMC Cancer. 15(1). 442–442. 13 indexed citations
9.
Singleton, Patrick A., Jonathan Moss, Daniel D. Karp, Johnique T. Atkins, & Filip Jankú. (2015). The mu opioid receptor: A new target for cancer therapy?. Cancer. 121(16). 2681–2688. 61 indexed citations
10.
Wheler, Jennifer J., Filip Jankú, Gerald S. Falchook, et al.. (2014). Phase I study of anti-VEGF monoclonal antibody bevacizumab and histone deacetylase inhibitor valproic acid in patients with advanced cancers. Cancer Chemotherapy and Pharmacology. 73(3). 495–501. 47 indexed citations
11.
Wheler, Jennifer J., Stacy Moulder, Aung Naing, et al.. (2014). Anastrozole and everolimus in advanced gynecologic and breast malignancies: activity and molecular alterations in the PI3K/AKT/mTOR pathway. Oncotarget. 5(10). 3029–3038. 38 indexed citations
12.
Wheler, Jennifer J., Barbara A. Parker, J. Jack Lee, et al.. (2014). Unique molecular signatures as a hallmark of patients with metastatic breast cancer: Implications for current treatment paradigms. Oncotarget. 5(9). 2349–2354. 51 indexed citations
13.
Atkins, Johnique T., Gerald S. Falchook, Apostolia M. Tsimberidou, et al.. (2013). Transient severe hyperbilirubinemia after hepatic arterial infusion of oxaliplatin in patients with liver metastases. Cancer Chemotherapy and Pharmacology. 72(6). 1265–1271. 3 indexed citations
14.
Holsinger, Floyd Christopher, Sarina A. Piha‐Paul, Filip Jankú, et al.. (2013). Biomarker-Directed Therapy of Squamous Carcinomas of the Head and Neck: Targeting PI3K/PTEN/mTOR Pathway. Journal of Clinical Oncology. 31(9). e137–e140. 22 indexed citations
15.
16.
Jean‐Pierre, Pascal, et al.. (2009). Neuroprotective effect of SSRI among 781 cancer patients receiving chemotherapy: A URCC CCOP Study. Journal of Clinical Oncology. 27(15_suppl). 9512–9512. 3 indexed citations
17.
Butler, J.M., Johnique T. Atkins, Bart Frizzell, et al.. (2005). A Phase III, Double Blind, Placebo-Controlled Prospective Randomized Clinical Trial of Effect of d-threo-methylphenidate HCl (d-MPH) on Quality of Life in Brain Tumor Patients Receiving Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 63. S80–S80. 3 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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