Aditya Rao

410 total citations
10 papers, 173 citations indexed

About

Aditya Rao is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Aditya Rao has authored 10 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Aditya Rao's work include Bacterial Identification and Susceptibility Testing (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Single-cell and spatial transcriptomics (2 papers). Aditya Rao is often cited by papers focused on Bacterial Identification and Susceptibility Testing (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Single-cell and spatial transcriptomics (2 papers). Aditya Rao collaborates with scholars based in United States, Canada and Nepal. Aditya Rao's co-authors include Purvesh Khatri, Timothy E. Sweeney, Jason R. Andrews, Katharina Ronacher, Hayley Warsinske, Júlio Croda, Madeleine Scott, Flora Martinez Figueira Moreira, Gerhard Walzl and Paulo César Pereira dos Santos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and The American Journal of Cardiology.

In The Last Decade

Aditya Rao

8 papers receiving 172 citations

Peers

Aditya Rao

ID

EPIDE

MB

SURGE

IMMUN

Dakuan Wang China

Leigh A. Kotzé South Africa

Marcel Twahirwa United States

Li Liang China

Nadja Käding Germany

Meiwen Yu China

Peter Doubel Belgium

Naomi S. Coombes United Kingdom

Paula Rodríguez‐Martínez Spain

Morten Helms Denmark

Dakuan Wang China

Aditya Rao

89 ×1.0

ID

57 ×0.7

EPIDE

49 ×0.8

MB

44 ×1.2

SURGE

36 ×1.0

IMMUN

Citations per year, relative to Aditya Rao Aditya Rao (= 1×) peers Dakuan Wang

Countries citing papers authored by Aditya Rao

Since Specialization

Citations

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

Fields of papers citing papers by Aditya Rao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Rao

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

All Works

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10 of 10 papers shown

1.

Zheng, Hong, Aditya Rao, H. Tom Soh, et al.. (2025). Multi-cohort analysis identifies a blood-based immune transcriptomic signature for early lung cancer detection. npj Precision Oncology. 9(1). 246–246.

2.

Rao, Aditya, et al.. (2023). The Role of Natriuretic Peptides in Predicting Adverse Outcomes After Cardiac Surgery: An Updated Systematic Review. The American Journal of Cardiology. 210. 16–36. 1 indexed citations

3.

Rao, Aditya, Stephen J. Popper, Sanjana Gupta, et al.. (2022). A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations. Cell Reports Medicine. 3(12). 100842–100842. 17 indexed citations

4.

Gupta, Sanjana, Aditya Rao, Madeleine Scott, et al.. (2022). 1539. A Nine-Gene Blood-Based Signature Meets the World Health Organization Target Product Profiles for Diagnosis of Active Tuberculosis and Predicting Progression from Latent to Active Disease. Open Forum Infectious Diseases. 9(Supplement_2). 1 indexed citations

5.

Anahtar, Melodi, Leslie W. Chan, Aditya Rao, et al.. (2022). Host protease activity classifies pneumonia etiology. Proceedings of the National Academy of Sciences. 119(25). e2121778119–e2121778119. 13 indexed citations

6.

Zheng, Hong, Aditya Rao, Denis Đermadi, et al.. (2021). Multi-cohort analysis of host immune response identifies conserved protective and detrimental modules associated with severity across viruses. Immunity. 54(4). 753–768.e5. 34 indexed citations

7.

Rao, Aditya, Stephen J. Popper, Sanjana Gupta, et al.. (2021). A Robust Host-Response-Based Signature Distinguishes Bacterial and Viral Infections Across Diverse Global Populations. SSRN Electronic Journal. 4 indexed citations

8.

Zheng, Hong, Aditya Rao, Denis Đermadi, et al.. (2020). Multi-cohort analysis of host immune response identifies conserved protective and detrimental modules associated with severity irrespective of virus. Faculty of 1000 Research Ltd. 9.

9.

Cheung, Peggie, Francesco Vallania, Mai Dvorak, et al.. (2018). Single-cell epigenetics – Chromatin modification atlas unveiled by mass cytometry. Clinical Immunology. 196. 40–48. 24 indexed citations

10.

Warsinske, Hayley, Aditya Rao, Flora Martinez Figueira Moreira, et al.. (2018). Assessment of Validity of a Blood-Based 3-Gene Signature Score for Progression and Diagnosis of Tuberculosis, Disease Severity, and Treatment Response. JAMA Network Open. 1(6). e183779–e183779. 79 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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