Ayush Arya

2.4k total citations · 1 hit paper
4 papers, 591 citations indexed

About

Ayush Arya is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Ayush Arya has authored 4 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Molecular Biology. Recurrent topics in Ayush Arya's work include Cancer Immunotherapy and Biomarkers (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Ayush Arya is often cited by papers focused on Cancer Immunotherapy and Biomarkers (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Ayush Arya collaborates with scholars based in United States. Ayush Arya's co-authors include Young Kwang Chae, Francis J. Giles, Wade T. Iams, Jaehyuk Choi, Marcelo Cruz, Sunandana Chandra, Daniel Sanghoon Shin, Leonidas C. Platanias, Jason Kaplan and Aparna Kalyan and has published in prestigious journals such as Oncotarget, Journal for ImmunoTherapy of Cancer and Annals of Translational Medicine.

In The Last Decade

Ayush Arya

4 papers receiving 581 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Current landscape and future of dual anti-CTLA4 and PD-1/PD-L1 blockade immunotherapy in cancer; lessons learned from clinical trials with melanoma and non-small cell lung cancer (NSCLC)

2018 321 citations Young Kwang Chae, Ayush Arya et al. Journal for ImmunoTherapy of Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ayush Arya United States	4	329	294	154	130	110	4	591
Pat Rayman United States	8	249 0.8×	192 0.7×	253 1.6×	193 1.5×	116 1.1×	16	583
Yu‐zhong Duan China	12	320 1.0×	306 1.0×	263 1.7×	201 1.5×	107 1.0×	26	713
Francesco Morra Italy	14	320 1.0×	430 1.5×	52 0.3×	110 0.8×	175 1.6×	25	647
Daniela Frezzetti Italy	13	175 0.5×	358 1.2×	59 0.4×	266 2.0×	110 1.0×	18	613
Wataru Sakamoto Japan	19	396 1.2×	393 1.3×	279 1.8×	152 1.2×	131 1.2×	65	837
Fumiko Chiwaki Japan	16	179 0.5×	465 1.6×	87 0.6×	178 1.4×	156 1.4×	27	718
Dianyun Ren China	16	261 0.8×	419 1.4×	110 0.7×	202 1.6×	141 1.3×	25	708
Lais Osmani United States	5	238 0.7×	305 1.0×	69 0.4×	192 1.5×	261 2.4×	10	613
Prasad Kanteti United States	13	190 0.6×	288 1.0×	81 0.5×	71 0.5×	116 1.1×	15	511
Katsuharu Saito Japan	13	208 0.6×	256 0.9×	159 1.0×	112 0.9×	83 0.8×	26	476

Countries citing papers authored by Ayush Arya

Since Specialization

Citations

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

Fields of papers citing papers by Ayush Arya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayush Arya

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

All Works

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

1.

Chae, Young Kwang, Ayush Arya, Wade T. Iams, et al.. (2018). Immune checkpoint pathways in non-small cell lung cancer. Annals of Translational Medicine. 6(5). 88–88. 13 indexed citations

2.

Chae, Young Kwang, Ayush Arya, Wade T. Iams, et al.. (2018). Current landscape and future of dual anti-CTLA4 and PD-1/PD-L1 blockade immunotherapy in cancer; lessons learned from clinical trials with melanoma and non-small cell lung cancer (NSCLC). Journal for ImmunoTherapy of Cancer. 6(1). 39–39. 321 indexed citations breakdown →

3.

Chae, Young Kwang, Ayush Arya, Hiral Shah, et al.. (2017). Challenges and future of biomarker tests in the era of precision oncology: Can we rely on immunohistochemistry (IHC) or fluorescencein situhybridization (FISH) to select the optimal patients for matched therapy?. Oncotarget. 8(59). 100863–100898. 17 indexed citations

4.

Chae, Young Kwang, Ayush Arya, Mary‐Kate Malecek, et al.. (2016). Repurposing metformin for cancer treatment: current clinical studies. Oncotarget. 7(26). 40767–40780. 240 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.

Explore authors with similar magnitude of impact