Ashwini S. Nagaraj

562 total citations
9 papers, 252 citations indexed

About

Ashwini S. Nagaraj is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ashwini S. Nagaraj has authored 9 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ashwini S. Nagaraj's work include Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (3 papers) and 3D Printing in Biomedical Research (2 papers). Ashwini S. Nagaraj is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (3 papers) and 3D Printing in Biomedical Research (2 papers). Ashwini S. Nagaraj collaborates with scholars based in Finland, Netherlands and Sweden. Ashwini S. Nagaraj's co-authors include Katja Maria Närhi, Emmy W. Verschuren, Maria Anastasina, Laura Kakkola, Denis E. Kainov, Anton Cheltsov, Annabrita Hemmes, Sami Blom, Mikko I. Mäyränpää and Taija M. af Hällström and has published in prestigious journals such as Scientific Reports, Trends in Pharmacological Sciences and Cell Reports.

In The Last Decade

Ashwini S. Nagaraj

9 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashwini S. Nagaraj Finland	6	129	81	69	58	55	9	252
Lindsey Carlsen United States	10	127 1.0×	124 1.5×	58 0.8×	23 0.4×	48 0.9×	23	284
Hadi Nasiri Iran	9	101 0.8×	132 1.6×	54 0.8×	37 0.6×	45 0.8×	19	283
Nina Frey Switzerland	7	107 0.8×	207 2.6×	63 0.9×	36 0.6×	51 0.9×	19	373
Marcos Vásquez Spain	11	126 1.0×	121 1.5×	142 2.1×	20 0.3×	37 0.7×	19	327
Caixu Pan China	8	122 0.9×	70 0.9×	155 2.2×	39 0.7×	39 0.7×	10	276
Tania B. Porras United States	9	139 1.1×	93 1.1×	47 0.7×	29 0.5×	111 2.0×	16	300
Fumi Sato-Kaneko United States	10	127 1.0×	128 1.6×	267 3.9×	45 0.8×	54 1.0×	17	387
Samaneh Rostami Iran	7	151 1.2×	115 1.4×	62 0.9×	38 0.7×	52 0.9×	10	324
Hajar Alemohammad Iran	9	127 1.0×	194 2.4×	90 1.3×	29 0.5×	86 1.6×	12	365
Silvia Beghi United States	5	151 1.2×	234 2.9×	58 0.8×	39 0.7×	53 1.0×	9	367

Countries citing papers authored by Ashwini S. Nagaraj

Since Specialization

Citations

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

Fields of papers citing papers by Ashwini S. Nagaraj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashwini S. Nagaraj. 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 Ashwini S. Nagaraj. The network helps show where Ashwini S. Nagaraj may publish in the future.

Co-authorship network of co-authors of Ashwini S. Nagaraj

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

All Works

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9 of 9 papers shown

Nagaraj, Ashwini S., Jennifer R. Devlin, Annabrita Hemmes, et al.. (2019). Receptor Tyrosine Kinase Signaling Networks Define Sensitivity to ERBB Inhibition and Stratify Kras -Mutant Lung Cancers. Molecular Cancer Therapeutics. 18(10). 1863–1874. 5 indexed citations

Bao, Jie, Ferenc Kovács, Ashwini S. Nagaraj, et al.. (2019). Spa-RQ: an Image Analysis Tool to Visualise and Quantify Spatial Phenotypes Applied to Non-Small Cell Lung Cancer. Scientific Reports. 9(1). 17613–17613. 4 indexed citations

Närhi, Katja Maria, Ashwini S. Nagaraj, Elina Parri, et al.. (2018). Spatial aspects of oncogenic signalling determine the response to combination therapy in slice explants from Kras‐driven lung tumours. The Journal of Pathology. 245(1). 101–113. 19 indexed citations

Nagaraj, Ashwini S., et al.. (2018). Establishment and Analysis of Tumor Slice Explants As a Prerequisite for Diagnostic Testing. Journal of Visualized Experiments. 12 indexed citations

Nagaraj, Ashwini S., et al.. (2018). Establishment and Analysis of Tumor Slice Explants As a Prerequisite for Diagnostic Testing. Journal of Visualized Experiments. 4 indexed citations

Nagaraj, Ashwini S., Jenni Lahtela, Annabrita Hemmes, et al.. (2017). Cell of Origin Links Histotype Spectrum to Immune Microenvironment Diversity in Non-small-Cell Lung Cancer Driven by Mutant Kras and Loss of Lkb1. Cell Reports. 18(3). 673–684. 39 indexed citations

Nagaraj, Ashwini S., Jenni Lahtela, Annabrita Hemmes, et al.. (2016). Cell-of-origin links histotype spectrum to immune microenvironment diversity in non-small cell lung cancer driven by mutant Kras and loss of Lkb1. European Journal of Cancer. 61. S89–S89. 6 indexed citations

Davies, Emma Jane, Meng Dong, Matthias Gutekunst, et al.. (2015). Capturing complex tumour biology in vitro: histological and molecular characterisation of precision cut slices. Scientific Reports. 5(1). 17187–17187. 92 indexed citations

Kakkola, Laura, et al.. (2011). Emerging cellular targets for influenza antiviral agents. Trends in Pharmacological Sciences. 33(2). 89–99. 71 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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