Kian Kani

4.8k total citations
21 papers, 438 citations indexed

About

Kian Kani is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kian Kani has authored 21 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kian Kani's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Advanced Proteomics Techniques and Applications (6 papers) and HER2/EGFR in Cancer Research (6 papers). Kian Kani is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Advanced Proteomics Techniques and Applications (6 papers) and HER2/EGFR in Cancer Research (6 papers). Kian Kani collaborates with scholars based in United States and Denmark. Kian Kani's co-authors include Ralf Landgraf, Mitchell E. Gross, Parag Mallick, Carmen M. Warren, Qian Zhang, David B. Agus, Paymaneh D. Malihi, Jonathan E. Katz, Joseph A. Loo and Catherine S. Kaddis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Kian Kani

21 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kian Kani United States 12 245 177 87 72 60 21 438
Sonal Varma Canada 12 193 0.8× 106 0.6× 87 1.0× 102 1.4× 69 1.1× 32 456
Roi Villar-Vázquez Spain 6 263 1.1× 175 1.0× 57 0.7× 63 0.9× 99 1.6× 6 466
Cathy C. Zhang United States 11 288 1.2× 196 1.1× 61 0.7× 52 0.7× 91 1.5× 13 464
Justin C. Jagodinsky United States 12 129 0.5× 228 1.3× 36 0.4× 86 1.2× 62 1.0× 19 449
Jin Song United States 9 269 1.1× 86 0.5× 67 0.8× 27 0.4× 69 1.1× 13 404
Katrina K. Bakken United States 11 288 1.2× 272 1.5× 30 0.3× 97 1.3× 60 1.0× 30 522
Marta Relvas‐Santos Portugal 9 354 1.4× 98 0.6× 49 0.6× 29 0.4× 56 0.9× 17 466
Jascha‐N. Rybak Switzerland 6 276 1.1× 143 0.8× 209 2.4× 20 0.3× 50 0.8× 7 550
Eiko Hayashi Japan 11 179 0.7× 77 0.4× 27 0.3× 41 0.6× 37 0.6× 22 365
Matthias Kaup Germany 14 327 1.3× 67 0.4× 75 0.9× 15 0.2× 38 0.6× 21 445

Countries citing papers authored by Kian Kani

Since Specialization
Citations

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

Fields of papers citing papers by Kian Kani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kian Kani

This figure shows the co-authorship network connecting the top 25 collaborators of Kian Kani. A scholar is included among the top collaborators of Kian Kani 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 Kian Kani. Kian Kani 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.
Zhang, Ailin, Chun‐Peng Liao, Christopher Poon, et al.. (2020). CCR2-targeted micelles for anti-cancer peptide delivery and immune stimulation. Journal of Controlled Release. 329. 614–623. 33 indexed citations
2.
Tiemann, Katrin, Carolina Garri, Sang Bok Lee, et al.. (2018). Loss of ER retention motif of AGR2 can impact mTORC signaling and promote cancer metastasis. Oncogene. 38(16). 3003–3018. 28 indexed citations
3.
Tiemann, Katrin, Carolina Garri, Jeffrey Wang, Lauren Clarke, & Kian Kani. (2018). Assessment of Resistance to Tyrosine Kinase Inhibitors by an Interrogation of Signal Transduction Pathways by Antibody Arrays. Journal of Visualized Experiments. 1 indexed citations
4.
Xu, Lingyun, Carsten H. Nielsen, Edwin Chang, et al.. (2018). A blood biomarker for monitoring response to anti-EGFR therapy. Cancer Biomarkers. 22(2). 333–344. 6 indexed citations
5.
Kani, Kian, Carolina Garri, Katrin Tiemann, et al.. (2017). JUN-Mediated Downregulation of EGFR Signaling Is Associated with Resistance to Gefitinib in EGFR-mutant NSCLC Cell Lines. Molecular Cancer Therapeutics. 16(8). 1645–1657. 18 indexed citations
6.
Poon, Christopher, Cheng‐Hsiang Kuo, Yun Fang, et al.. (2017). Protein Mimetic and Anticancer Properties of Monocyte-Targeting Peptide Amphiphile Micelles. ACS Biomaterials Science & Engineering. 3(12). 3273–3282. 28 indexed citations
7.
Liao, Chun‐Peng, et al.. (2017). Androgen receptor in cancer-associated fibroblasts influences stemness in cancer cells. Endocrine Related Cancer. 24(4). 157–170. 33 indexed citations
8.
Kani, Kian. (2017). Quantitative Proteomics Using SILAC. Methods in molecular biology. 1550. 171–184. 11 indexed citations
9.
Frieboes, Hermann B., et al.. (2015). Simulation of the Protein-Shedding Kinetics of a Fully Vascularized Tumor. Cancer Informatics. 14. CIN.S35374–CIN.S35374. 9 indexed citations
10.
Kani, Kian, Vítor M. Faça, Lindsey D. Hughes, et al.. (2012). Quantitative Proteomic Profiling Identifies Protein Correlates to EGFR Kinase Inhibition. Molecular Cancer Therapeutics. 11(5). 1071–1081. 6 indexed citations
11.
Zhang, Qian, et al.. (2012). Functional isolation of activated and unilaterally phosphorylated heterodimers of ERBB2 and ERBB3 as scaffolds in ligand-dependent signaling. Proceedings of the National Academy of Sciences. 109(33). 13237–13242. 59 indexed citations
12.
Kani, Kian, Paymaneh D. Malihi, Yuqiu Jiang, et al.. (2012). Anterior gradient 2 (AGR2): Blood‐based biomarker elevated in metastatic prostate cancer associated with the neuroendocrine phenotype. The Prostate. 73(3). 306–315. 52 indexed citations
13.
Kani, Kian, et al.. (2011). Investigation of Acquired Resistance to EGFR-Targeted Therapies in Lung Cancer Using cDNA Microarrays. Methods in molecular biology. 795. 233–253. 1 indexed citations
14.
Fang, Qiaojun, Kian Kani, Vítor M. Faça, et al.. (2011). Impact of Protein Stability, Cellular Localization, and Abundance on Proteomic Detection of Tumor-Derived Proteins in Plasma. PLoS ONE. 6(7). e23090–e23090. 15 indexed citations
15.
Vogelsang, Maryann, Kian Kani, Jonathan E. Katz, & Parag Mallick. (2011). Model-Based Discovery of Circulating Biomarkers. Methods in molecular biology. 728. 87–107. 2 indexed citations
16.
Luethy, Roland, Darren Kessner, Jonathan E. Katz, et al.. (2008). Precursor-Ion Mass Re-Estimation Improves Peptide Identification on Hybrid Instruments. Journal of Proteome Research. 7(9). 4031–4039. 46 indexed citations
17.
Warren, Carmen M., Kian Kani, & Ralf Landgraf. (2006). The N-terminal Domains of Neuregulin 1 Confer Signal Attenuation. Journal of Biological Chemistry. 281(37). 27306–27316. 19 indexed citations
18.
Kani, Kian, et al.. (2005). The Extracellular Domains of ErbB3 Retain High Ligand Binding Affinity at Endosome pH and in the Locked Conformation. Biochemistry. 44(48). 15842–15857. 17 indexed citations
19.
Kani, Kian, Carmen M. Warren, Catherine S. Kaddis, Joseph A. Loo, & Ralf Landgraf. (2004). Oligomers of ERBB3 Have Two Distinct Interfaces That Differ in Their Sensitivity to Disruption by Heregulin. Journal of Biological Chemistry. 280(9). 8238–8247. 43 indexed citations
20.
Kani, Kian, et al.. (1970). [Integrative expression of visual field].. PubMed. 21(1). 25–25. 1 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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