Aruna Subramanian

7.3k total citations · 2 hit papers
73 papers, 2.8k citations indexed

About

Aruna Subramanian is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Aruna Subramanian has authored 73 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Infectious Diseases, 35 papers in Epidemiology and 16 papers in Surgery. Recurrent topics in Aruna Subramanian's work include COVID-19 Clinical Research Studies (12 papers), Mycobacterium research and diagnosis (11 papers) and Fungal Infections and Studies (9 papers). Aruna Subramanian is often cited by papers focused on COVID-19 Clinical Research Studies (12 papers), Mycobacterium research and diagnosis (11 papers) and Fungal Infections and Studies (9 papers). Aruna Subramanian collaborates with scholars based in United States, India and Spain. Aruna Subramanian's co-authors include Donald M. Miller, Philip Grant, Angela J. Rogers, Catherine A. Blish, Arjun Rustagi, Jonasel Roque, Thanmayi Ranganath, Laura J. Simpson, Giovanny J. Martínez-Colón and Julia L. McKechnie and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Aruna Subramanian

62 papers receiving 2.7k citations

Hit Papers

A single-cell atlas of the peripheral immune response in ... 2020 2026 2022 2024 2020 2023 250 500 750

Peers

Aruna Subramanian
Aruna Subramanian
Citations per year, relative to Aruna Subramanian Aruna Subramanian (= 1×) peers Maria Rosa Ciardi

Countries citing papers authored by Aruna Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Aruna Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aruna Subramanian

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

All Works

20 of 20 papers shown
1.
Swank, Zoe, Phillip Grant, Hector Bonilla, et al.. (2025). Single-Cell and Plasma Proteomics Do Not Differentiate Patients With and Without SARS-CoV-2 Antigenemia in Convalescence in a Cohort of 100 Patients. Open Forum Infectious Diseases. 12(9). ofaf515–ofaf515.
2.
Subramanian, Aruna, et al.. (2025). “Tunable electronic structure of Ac/Ag@CdO nanocomposites for enhanced photodegradation of alizarin red dye”. Journal of Materials Science Materials in Electronics. 36(25).
3.
Grant, Philip, Hector Bonilla, Marisa Holubar, et al.. (2024). Sex differences and immune correlates of Long Covid development, symptom persistence, and resolution. Science Translational Medicine. 16(773). eadr1032–eadr1032. 15 indexed citations
4.
Ferguson, J, Elsa Solà, Salvatore Piano, et al.. (2024). Infections in decompensated cirrhosis: Pathophysiology, management, and research agenda. Hepatology Communications. 8(10). 2 indexed citations
5.
Ferguson, J, Ralph Tayyar, Gustavo Contreras, et al.. (2023). Use of a severe acute respiratory coronavirus virus 2 (SARS-CoV-2) strand-specific assay to evaluate for prolonged viral replication >20 days from illness onset. Infection Control and Hospital Epidemiology. 44(12). 2078–2080.
6.
Walter, Katharine S., Renu Verma, Jonathan Altamirano, et al.. (2023). Challenges in Harnessing Shared Within-Host Severe Acute Respiratory Syndrome Coronavirus 2 Variation for Transmission Inference. Open Forum Infectious Diseases. 10(2). ofad001–ofad001. 2 indexed citations
7.
Tayyar, Ralph, Gustavo Contreras, Guillermo Rodríguez-Nava, et al.. (2023). Low infectivity among asymptomatic patients with a positive severe acute respiratory coronavirus virus 2 (SARS-CoV-2) admission test at a tertiary care center, 2020–2022. Infection Control and Hospital Epidemiology. 45(2). 241–243. 2 indexed citations
8.
Jacobson, Karen B., Hector Bonilla, Aruna Subramanian, et al.. (2021). Patients With Uncomplicated Coronavirus Disease 2019 (COVID-19) Have Long-Term Persistent Symptoms and Functional Impairment Similar to Patients with Severe COVID-19: A Cautionary Tale During a Global Pandemic. Clinical Infectious Diseases. 73(3). e826–e829. 129 indexed citations
9.
Verma, Renu, Giovanny J. Martínez-Colón, Prasanna Jagannathan, et al.. (2021). SARS-CoV-2 Subgenomic RNA Kinetics in Longitudinal Clinical Samples. Open Forum Infectious Diseases. 8(7). ofab310–ofab310. 17 indexed citations
10.
Mérad, Miriam, Aruna Subramanian, & Taia T. Wang. (2021). An aberrant inflammatory response in severe COVID-19. Cell Host & Microbe. 29(7). 1043–1047. 25 indexed citations
11.
Wilk, Aaron J., Arjun Rustagi, Nancy Q. Zhao, et al.. (2020). A single-cell atlas of the peripheral immune response in patients with severe COVID-19. Nature Medicine. 26(7). 1070–1076. 915 indexed citations breakdown →
12.
Wilson, Jennifer G., Laura J. Simpson, Anne-Maud Ferreira, et al.. (2020). Cytokine profile in plasma of severe COVID-19 does not differ from ARDS and sepsis. JCI Insight. 5(17). 179 indexed citations
13.
Kwong, Allison J., Anji Wall, Marc L. Melcher, et al.. (2018). Liver transplantation for hepatitis C virus (HCV) non-viremic recipients with HCV viremic donors. American Journal of Transplantation. 19(5). 1380–1387. 100 indexed citations
14.
Santoro‐Lopes, Guilherme, et al.. (2018). Tuberculosis Recommendations for Solid Organ Transplant Recipients and Donors. Transplantation. 102(2S). S60–S65. 21 indexed citations
15.
Jaganathan, Saravana Kumar, Arunpandian Balaji, Muthu Vignesh Vellayappan, et al.. (2014). A Review on Antiproliferative and Apoptotic Activities of Natural Honey. Anti-Cancer Agents in Medicinal Chemistry. 15(1). 48–56. 40 indexed citations
16.
Subramanian, Aruna & Michele I. Morris. (2013). Mycobacterium tuberculosis Infections in Solid Organ Transplantation. American Journal of Transplantation. 13. 68–76. 121 indexed citations
17.
Subramanian, Aruna. (2011). Antimicrobial prophylaxis regimens following transplantation. Current Opinion in Infectious Diseases. 24(4). 344–349. 12 indexed citations
18.
Dorman, Susan E. & Aruna Subramanian. (2009). Nontuberculous Mycobacteria in Solid Organ Transplant Recipients. American Journal of Transplantation. 9. S63–S69. 23 indexed citations
19.
Hoffmann, Christopher J., Aruna Subramanian, Andrew M. Cameron, & Eric A. Engels. (2008). Incidence and Risk Factors for Hepatocellular Carcinoma After Solid Organ Transplantation. Transplantation. 86(6). 784–790. 46 indexed citations
20.
Subramanian, Aruna & Donald M. Miller. (2000). Structural Analysis of α-Enolase. Journal of Biological Chemistry. 275(8). 5958–5965. 230 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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