T. P. Dang

452 total citations
7 papers, 370 citations indexed

About

T. P. Dang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, T. P. Dang has authored 7 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in T. P. Dang's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Lung Cancer Research Studies (2 papers). T. P. Dang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Lung Cancer Research Studies (2 papers). T. P. Dang collaborates with scholars based in United States, Italy and Canada. T. P. Dang's co-authors include David P. Carbone, A K Virmani, Kenneth R. Hande, J D Minna, Jenny R. Roberts, Adi F. Gazdar, Jun Konishi, Yi Fu, Xun Chen and Jun Sakakibara‐Konishi and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Oncogene.

In The Last Decade

T. P. Dang

7 papers receiving 369 citations

Peers

T. P. Dang

MB

ONCOL

PRM

CR

PFM

Tina Guthrie United States

Eun Mi Je South Korea

Leighton C. Stein United States

G. M. Hampton United States

Shazia Irshad United Kingdom

Laura Tabatabai United States

Daniela I. Paiva‐Oliveira Portugal

Victoria Seng United States

Yong–Jig Cho United States

Timothy J. Stanek United States

Tina Guthrie United States

T. P. Dang

241 ×0.8

MB

158 ×1.4

ONCOL

46 ×0.5

PRM

57 ×0.7

CR

33 ×1.6

PFM

Citations per year, relative to T. P. Dang T. P. Dang (= 1×) peers Tina Guthrie

Countries citing papers authored by T. P. Dang

Since Specialization

Citations

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

Fields of papers citing papers by T. P. Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. P. Dang

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

All Works

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7 of 7 papers shown

1.

Mizugaki, Hidenori, Jun Sakakibara‐Konishi, Junko Kikuchi, et al.. (2012). γ-Secretase inhibitor enhances antitumour effect of radiation in Notch-expressing lung cancer. British Journal of Cancer. 106(12). 1953–1959. 44 indexed citations

2.

Raimondi, Lavinia, Roberta Ciarapica, Federica Verginelli, et al.. (2011). Inhibition of Notch3 signalling induces rhabdomyosarcoma cell differentiation promoting p38 phosphorylation and p21Cip1 expression and hampers tumour cell growth in vitro and in vivo. Cell Death and Differentiation. 19(5). 871–881. 44 indexed citations

3.

Konishi, Jun, et al.. (2009). Notch3 cooperates with the EGFR pathway to modulate apoptosis through the induction of bim. Oncogene. 29(4). 589–596. 73 indexed citations

4.

Dang, T. P., Dean Billheimer, Heinrich Röder, et al.. (2008). VeriStrat predicts survival in patients with non-small cell lung cancer (NSCLC) treated with erlotinib and bevacizumab. Journal of Clinical Oncology. 26(15_suppl). 8008–8008. 2 indexed citations

5.

Dang, T. P., A. Sandler, Ronald Herbst, et al.. (2008). Predictive value of serum MALDI-TOF proteomic profiling from patients treated with erlotinib and bevacizumab for survival in patients with non-small cell lung cancer (NSCLC) treated with erlotinib alone. Journal of Clinical Oncology. 26(15_suppl). 11014–11014. 1 indexed citations

6.

Sandler, Alan, et al.. (2005). MALDI-TOF mass spectrometry proteomic profiling to discriminate response to the combination of bevacizumab and erlotinib in non-small cell lung cancer (NSCLC). Journal of Clinical Oncology. 23(16_suppl). 7022–7022. 3 indexed citations

7.

Dang, T. P., Adi F. Gazdar, A K Virmani, et al.. (2000). Chromosome 19 Translocation, Overexpression of Notch3, and Human Lung Cancer. JNCI Journal of the National Cancer Institute. 92(16). 1355–1357. 203 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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