Nick Connis

617 total citations
11 papers, 402 citations indexed

About

Nick Connis is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nick Connis has authored 11 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nick Connis's work include Lung Cancer Research Studies (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Cell death mechanisms and regulation (2 papers). Nick Connis is often cited by papers focused on Lung Cancer Research Studies (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Cell death mechanisms and regulation (2 papers). Nick Connis collaborates with scholars based in United States, United Kingdom and China. Nick Connis's co-authors include Christine L. Hann, Charles M. Rudin, Eric E. Gardner, John T. Poirier, André L. Moreira, Elisa de Stanchina, Gary L. Gallia, Lucille A. Lumley, Chandrashekhar D. Kamat and Jordan J. Green and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Nick Connis

11 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick Connis United States 9 240 187 92 69 38 11 402
Kathleen C. Suozzi United States 8 172 0.7× 141 0.8× 42 0.5× 42 0.6× 29 0.8× 21 453
J. L. V. Broers Netherlands 9 212 0.9× 121 0.6× 84 0.9× 132 1.9× 22 0.6× 11 493
Guixin Zhu China 11 374 1.6× 60 0.3× 44 0.5× 25 0.4× 34 0.9× 15 495
Hiba Komati Canada 12 334 1.4× 30 0.2× 77 0.8× 55 0.8× 24 0.6× 17 448
Rachel Montpetit United States 11 397 1.7× 70 0.4× 26 0.3× 55 0.8× 67 1.8× 16 536
Yukiko Miyatake Japan 11 202 0.8× 80 0.4× 59 0.6× 23 0.3× 34 0.9× 22 458
Yu‐Chun Hsiao Taiwan 9 241 1.0× 94 0.5× 14 0.2× 28 0.4× 54 1.4× 21 414

Countries citing papers authored by Nick Connis

Since Specialization
Citations

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

Fields of papers citing papers by Nick Connis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Connis

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

All Works

11 of 11 papers shown
1.
Connis, Nick, Jinhee Chang, Amol C. Shetty, et al.. (2024). TNIK Inhibition Sensitizes TNIK-Overexpressing Lung Squamous Cell Carcinoma to Radiotherapy. Molecular Cancer Therapeutics. 23(8). 1201–1211. 3 indexed citations
2.
Khan, Sajid, Patrick Kellish, Nick Connis, et al.. (2023). Co-targeting BCL-XL and MCL-1 with DT2216 and AZD8055 synergistically inhibit small-cell lung cancer growth without causing on-target toxicities in mice. Cell Death Discovery. 9(1). 1–1. 31 indexed citations
3.
Kawabata, Shigeru, Nick Connis, Joell J. Gills, Christine L. Hann, & Phillip A. Dennis. (2021). Nelfinavir Inhibits the Growth of Small-cell Lung Cancer Cells and Patient-derived Xenograft Tumors. Anticancer Research. 41(1). 91–99. 5 indexed citations
4.
Zhao, Tianna, I‐Mei Siu, Haoyu Zhang, et al.. (2021). AZD8055 enhances in vivo efficacy of afatinib in chordomas. The Journal of Pathology. 255(1). 72–83. 11 indexed citations
5.
Song, Ying, Hongwei Tian, Yizhi Zhang, et al.. (2019). Regulation of RhoB Gene Expression during Tumorigenesis and Aging Process and Its Potential Applications in These Processes. Cancers. 11(6). 818–818. 21 indexed citations
6.
Poirier, John T., Eric E. Gardner, Nick Connis, et al.. (2015). DNA methylation in small cell lung cancer defines distinct disease subtypes and correlates with high expression of EZH2. Oncogene. 34(48). 5869–5878. 166 indexed citations
7.
Gardner, Eric E., Nick Connis, John T. Poirier, et al.. (2014). Rapamycin Rescues ABT-737 Efficacy in Small Cell Lung Cancer. Cancer Research. 74(10). 2846–2856. 45 indexed citations
8.
Kamat, Chandrashekhar D., Ron B. Shmueli, Nick Connis, et al.. (2013). Poly(β-amino ester) Nanoparticle Delivery of TP53 Has Activity against Small Cell Lung Cancer In Vitro and In Vivo. Molecular Cancer Therapeutics. 12(4). 405–415. 41 indexed citations
9.
Webster, Marie R., Chandrashekhar D. Kamat, Nick Connis, et al.. (2013). Bisphosphonamidate Clodronate Prodrug Exhibits Selective Cytotoxic Activity against Melanoma Cell Lines. Molecular Cancer Therapeutics. 13(2). 297–306. 12 indexed citations
10.
Siu, I‐Mei, Jacob Ruzevick, Qi Zhao, et al.. (2013). Erlotinib Inhibits Growth of a Patient-Derived Chordoma Xenograft. PLoS ONE. 8(11). e78895–e78895. 35 indexed citations
11.
Connis, Nick, et al.. (2011). Characterizing the behavioral effects of nerve agent-induced seizure activity in rats: Increased startle reactivity and perseverative behavior. Pharmacology Biochemistry and Behavior. 100(3). 382–391. 32 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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