Archana Narasanna

1.6k citations
12 papers · 1.3k indexed · h-index 9
Topics
HER2/EGFR in Cancer Research (8 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)

In The Last Decade

Archana Narasanna

12 papers receiving 1.2k citations

Peers

Archana Narasanna
Comparison fields: 5 of 77
  • Oncology 817
  • Molecular Biology 576
  • Radiology, Nuclear Medicine and Imaging 368
  • Pulmonary and Respiratory Medicine 362
  • Cancer Research 181
Replace Mónica Garcı́a-Barros with:
Mónica Garcı́a-Barros United States
Christine Tan United States
Xiang-Dong Ji United States
Dhara N. Amin United States
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Shannon Matheny United States
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Archana Narasanna relative to Mónica Garcı́a-Barros United States Mónica Garcı́a-Barros's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Archana Narasanna

Since Specialization
Citations

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

Fields of papers citing papers by Archana Narasanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archana Narasanna

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 51
2 2
3 171
4 190
5 46
6 99
7 141
8 1
9 34
10 374
11
HER2/neu (erbB2) kinase domain mutation results in constitutive phosphorylation and activation of HER2 and EGF receptors
1
12 153

About Archana Narasanna

Archana Narasanna is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Modeling and Simulation, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Oncology (817 citations), Radiology, Nuclear Medicine and Imaging (368 citations) and Cancer Research (181 citations). Archana Narasanna has collaborated with scholars based in United States, Austria and Sweden. Frequent co-authors include Carlos L. Arteaga, Shizhen Emily Wang, Marianela Pérez-Torres, Frederick Y. Wu, Bin Xiang, Senthil K. Muthuswamy, Seungchan Yang, Adi F. Gazdar, Graham Carpenter and Anindita Chakrabarty. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The EMBO Journal.

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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