Anurag Vaidya

2.2k total citations · 3 hit papers
10 papers, 865 citations indexed

About

Anurag Vaidya is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Anurag Vaidya has authored 10 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Anurag Vaidya's work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Digital Imaging for Blood Diseases (2 papers). Anurag Vaidya is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Digital Imaging for Blood Diseases (2 papers). Anurag Vaidya collaborates with scholars based in United States. Anurag Vaidya's co-authors include Faisal Mahmood, Drew F. K. Williamson, Ming Y. Lu, Richard J. Chen, Muhammad Shaban, Bowen Chen, Guillaume Jaume, Andrew H. Song, Jana Lipková and Tiffany Chen and has published in prestigious journals such as Nature Medicine, Cancer Cell and Neuro-Oncology.

In The Last Decade

Anurag Vaidya

8 papers receiving 852 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.

Artificial intelligence for multimodal data integration in oncology

2022 333 citations Jana Lipková, Richard J. Chen et al. Cancer Cell profile →
Towards a general-purpose foundation model for computational pathology

2024 331 citations Richard J. Chen, Tong Ding et al. Nature Medicine profile →
Artificial intelligence for digital and computational pathology

2023 103 citations Andrew H. Song, Guillaume Jaume et al. Nature Reviews Bioengineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anurag Vaidya United States	8	480	407	130	130	117	10	865
Chengkuan Chen United States	4	488 1.0×	372 0.9×	113 0.9×	120 0.9×	177 1.5×	5	807
Mane Williams United States	5	431 0.9×	338 0.8×	127 1.0×	87 0.7×	110 0.9×	6	707
Guillaume Jaume United States	11	577 1.2×	401 1.0×	124 1.0×	96 0.7×	210 1.8×	14	885
Pooya Mobadersany United States	5	432 0.9×	420 1.0×	114 0.9×	58 0.4×	94 0.8×	9	716
Benoît Schmauch France	8	370 0.8×	448 1.1×	111 0.9×	58 0.4×	69 0.6×	14	763
José E. Velázquez Vega United States	7	403 0.8×	414 1.0×	153 1.2×	54 0.4×	77 0.7×	15	821
Amelie Echle Germany	9	362 0.8×	350 0.9×	84 0.6×	69 0.5×	67 0.6×	10	618
Dyke Ferber Germany	11	579 1.2×	507 1.2×	129 1.0×	133 1.0×	138 1.2×	23	1.1k
Pierre Courtiol France	4	436 0.9×	418 1.0×	135 1.0×	63 0.5×	70 0.6×	7	815
Charlie Saillard France	6	379 0.8×	433 1.1×	116 0.9×	61 0.5×	51 0.4×	12	754

Countries citing papers authored by Anurag Vaidya

Since Specialization

Citations

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

Fields of papers citing papers by Anurag Vaidya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anurag Vaidya

This figure shows the co-authorship network connecting the top 25 collaborators of Anurag Vaidya. A scholar is included among the top collaborators of Anurag Vaidya 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 Anurag Vaidya. Anurag Vaidya 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:

10 of 10 papers shown

1.

Vaidya, Anurag, Richard J. Chen, Drew F. K. Williamson, et al.. (2024). Demographic bias in misdiagnosis by computational pathology models. Nature Medicine. 30(4). 1174–1190. 39 indexed citations

2.

Chen, Richard J., Tong Ding, Ming Y. Lu, et al.. (2024). Towards a general-purpose foundation model for computational pathology. Nature Medicine. 30(3). 850–862. 331 indexed citations breakdown →

3.

Jaume, Guillaume, et al.. (2024). Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. 11579–11590. 32 indexed citations

4.

Jaume, Guillaume, Anurag Vaidya, Richard J. Chen, et al.. (2024). Transcriptomics-Guided Slide Representation Learning in Computational Pathology. 9632–9644. 10 indexed citations

5.

Chen, Richard H., Guillaume Jaume, Ahrong Kim, et al.. (2024). HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis. 53798–53833.

6.

Ayoub, Georges, Seth Malinowski, Anurag Vaidya, et al.. (2024). PATH-50. AI-POWERED AUTOMATED TISSUE SEGMENTATION IMPROVES OUTCOME STRATIFICATION IN GLIOBLASTOMA. Neuro-Oncology. 26(Supplement_8). viii190–viii190.

7.

Song, Andrew H., Guillaume Jaume, Drew F. K. Williamson, et al.. (2023). Artificial intelligence for digital and computational pathology. Nature Reviews Bioengineering. 1(12). 930–949. 103 indexed citations breakdown →

8.

Lipková, Jana, Richard J. Chen, Bowen Chen, et al.. (2022). Artificial intelligence for multimodal data integration in oncology. Cancer Cell. 40(10). 1095–1110. 333 indexed citations breakdown →

9.

Vaidya, Anurag, et al.. (2020). Anisotropic and viscoelastic tensile mechanical properties of aponeurosis: Experimentation, modeling, and tissue microstructure. Journal of the mechanical behavior of biomedical materials. 110. 103889–103889. 7 indexed citations

10.

Vaidya, Anurag & Benjamin Wheatley. (2019). An experimental and computational investigation of the effects of volumetric boundary conditions on the compressive mechanics of passive skeletal muscle. Journal of the mechanical behavior of biomedical materials. 102. 103526–103526. 10 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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