Nizam Uddin

856 total citations
24 papers, 673 citations indexed

About

Nizam Uddin is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nizam Uddin has authored 24 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nizam Uddin's work include Ubiquitin and proteasome pathways (5 papers), Cancer Cells and Metastasis (4 papers) and Peptidase Inhibition and Analysis (4 papers). Nizam Uddin is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Cancer Cells and Metastasis (4 papers) and Peptidase Inhibition and Analysis (4 papers). Nizam Uddin collaborates with scholars based in South Korea, United States and Pakistan. Nizam Uddin's co-authors include Su‐Jae Lee, Neha Kaushik, Nagendra Kumar Kaushik, Eun Ha Choi, Yongjoon Suh, Yan‐Hong Cui, Young Joon Hong, Ju Sung Kim, Ku Youn Baik and Min-Jung Kim and has published in prestigious journals such as Environmental Science & Technology, Biomaterials and Cancer Research.

In The Last Decade

Nizam Uddin

22 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nizam Uddin South Korea 15 281 182 170 124 80 24 673
Laurie Baxter United States 6 251 0.9× 125 0.7× 197 1.2× 135 1.1× 14 0.2× 7 580
Jalil Pirayesh Islamian Iran 16 209 0.7× 234 1.3× 87 0.5× 109 0.9× 43 0.5× 49 791
Huizi Wu China 15 285 1.0× 35 0.2× 101 0.6× 107 0.9× 52 0.7× 44 707
Yuyin Li China 21 617 2.2× 104 0.6× 284 1.7× 119 1.0× 14 0.2× 50 984
Weihao Liu China 14 249 0.9× 174 1.0× 133 0.8× 60 0.5× 11 0.1× 45 760
Lijun Zhao China 14 319 1.1× 84 0.5× 406 2.4× 78 0.6× 21 0.3× 22 837
Seung-Hee Ryu South Korea 14 300 1.1× 70 0.4× 140 0.8× 72 0.6× 17 0.2× 23 571
Izabela Zawlik Poland 19 562 2.0× 78 0.4× 140 0.8× 349 2.8× 28 0.3× 75 1.1k
Shikha Gaur United States 16 487 1.7× 55 0.3× 218 1.3× 206 1.7× 15 0.2× 28 875
Lu Dai China 21 570 2.0× 40 0.2× 147 0.9× 184 1.5× 31 0.4× 74 1.3k

Countries citing papers authored by Nizam Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Nizam Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nizam Uddin

This figure shows the co-authorship network connecting the top 25 collaborators of Nizam Uddin. A scholar is included among the top collaborators of Nizam Uddin 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 Nizam Uddin. Nizam Uddin 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.
Uddin, Nizam, Seungmo Kim, Yi Zhao, et al.. (2024). Tumor-intrinsic role of ICAM-1 in driving metastatic progression of triple-negative breast cancer through direct interaction with EGFR. Molecular Cancer. 23(1). 230–230. 14 indexed citations
2.
Uddin, Nizam, et al.. (2021). Training a deep learning model for single-cell segmentation without manual annotation. Scientific Reports. 11(1). 23995–23995. 19 indexed citations
3.
Zhao, Yi, Neha Kaushik, Nagendra Kumar Kaushik, et al.. (2020). A Feedback Loop Comprising EGF/TGFα Sustains TFCP2-Mediated Breast Cancer Progression. Cancer Research. 80(11). 2217–2229. 20 indexed citations
4.
Yoo, Ki-Chun, Yongjoon Suh, Hae‐June Lee, et al.. (2018). Proinvasive extracellular matrix remodeling in tumor microenvironment in response to radiation. Oncogene. 37(24). 3317–3328. 42 indexed citations
5.
Yoo, Ki-Chun, Hae‐June Lee, Min Young Lee, et al.. (2018). FYN promotes mesenchymal phenotypes of basal type breast cancer cells through STAT5/NOTCH2 signaling node. Oncogene. 37(14). 1857–1868. 51 indexed citations
6.
Cui, Yan‐Hong, Min Young Lee, Joo Mi Yi, et al.. (2018). FBXL14 abolishes breast cancer progression by targeting CDCP1 for proteasomal degradation. Oncogene. 37(43). 5794–5809. 17 indexed citations
7.
Kang, Hye-Min, Yan‐Hong Cui, BuHyun Youn, et al.. (2017). Phytosphingosine exhibits an anti-epithelial–mesenchymal transition function by the inhibition of EGFR signaling in human breast cancer cells. Oncotarget. 8(44). 77794–77808. 12 indexed citations
8.
Choi, Miyoung, Yan‐Hong Cui, Neha Kaushik, et al.. (2017). Regulation of FBXO4-mediated ICAM-1 protein stability in metastatic breast cancer. Oncotarget. 8(47). 83100–83113. 20 indexed citations
10.
Kaushik, Nagendra Kumar, Neha Kaushik, Nizam Uddin, et al.. (2016). Data on combination effect of PEG-coated gold nanoparticles and non-thermal plasma inhibit growth of solid tumors. Data in Brief. 9. 318–323. 8 indexed citations
11.
Kim, Rae-Kwon, Nizam Uddin, Jin‐Won Hyun, et al.. (2015). Novel anticancer activity of phloroglucinol against breast cancer stem-like cells. Toxicology and Applied Pharmacology. 286(3). 143–150. 40 indexed citations
12.
Kaushik, Neha, Nizam Uddin, Young Joon Hong, et al.. (2015). Responses of Solid Tumor Cells in DMEM to Reactive Oxygen Species Generated by Non-Thermal Plasma and Chemically Induced ROS Systems. Scientific Reports. 5(1). 8587–8587. 131 indexed citations
13.
Cui, Yan‐Hong, Y Suh, HJ Lee, et al.. (2015). Radiation promotes invasiveness of non-small-cell lung cancer cells through granulocyte-colony-stimulating factor. Oncogene. 34(42). 5372–5382. 43 indexed citations
14.
Uddin, Nizam, et al.. (2015). Persistent activation of STAT3 by PIM2‐driven positive feedback loop for epithelial‐mesenchymal transition in breast cancer. Cancer Science. 106(6). 718–725. 40 indexed citations
15.
Kim, Young Heon, Yan‐Hong Cui, Nizam Uddin, et al.. (2014). Radiation promotes malignant progression of glioma cells through HIF-1alpha stabilization. Cancer Letters. 354(1). 132–141. 49 indexed citations
16.
Kim, Rae-Kwon, Yongjoon Suh, Eun-Jung Lim, et al.. (2013). A novel 2-pyrone derivative, BHP, impedes oncogenic KRAS-driven malignant progression in breast cancer. Cancer Letters. 337(1). 49–57. 11 indexed citations
17.
Uddin, Nizam, et al.. (2012). Proteome Changes in Response to Ecologically Viable Environmental Variation in Calanus sinicus. Protein and Peptide Letters. 20(1). 78–87. 1 indexed citations
18.
Uddin, Nizam. (1997). Optimal partially balanced nested row-column designs. Journal of Statistical Planning and Inference. 60(2). 351–366.
19.
Morgan, John P. & Nizam Uddin. (1997). Orthogonal sets of balanced incomplete block designs with nested rows and column. Journal of Statistical Planning and Inference. 59(2). 369–378. 1 indexed citations
20.
Uddin, Nizam. (1996). E-optimal incomplete block designs with two distinct block sizes. Journal of Statistical Planning and Inference. 55(2). 235–248. 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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