Gitanjali Subramanya

1.1k total citations · 1 hit paper
8 papers, 793 citations indexed

About

Gitanjali Subramanya is a scholar working on Infectious Diseases, Epidemiology and Hepatology. According to data from OpenAlex, Gitanjali Subramanya has authored 8 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Epidemiology and 3 papers in Hepatology. Recurrent topics in Gitanjali Subramanya's work include Hepatitis C virus research (3 papers), HIV/AIDS drug development and treatment (3 papers) and Hepatitis B Virus Studies (2 papers). Gitanjali Subramanya is often cited by papers focused on Hepatitis C virus research (3 papers), HIV/AIDS drug development and treatment (3 papers) and Hepatitis B Virus Studies (2 papers). Gitanjali Subramanya collaborates with scholars based in United States, India and United Kingdom. Gitanjali Subramanya's co-authors include Tom Gallagher, Jincun Zhao, Taylor Heald‐Sargent, Stanley Perlman, Ana Shulla, Susan L. Uprichard, Mark A. Winters, E.F. Wolff, Laëtitia Canini and Ramazan Idılman and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Gitanjali Subramanya

7 papers receiving 778 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.

A Transmembrane Serine Protease Is Linked to the Severe Acute Respiratory Syndrome Coronavirus Receptor and Activates Virus Entry

2010 514 citations Ana Shulla, Taylor Heald‐Sargent et al. Journal of Virology profile →

Peers

Gitanjali Subramanya

ID

EPIDE

HEPAT

MB

ASZ

Paula Monteiro Perin Germany

Julie Blaising France

Soonju Park South Korea

Carina Elsner Germany

Niki Vassilaki Greece

Simona Anticoli Italy

Brit J. Hart United States

Jacqueline Cronin United States

Dongxing Guo China

Justin Shields Canada

Paula Monteiro Perin Germany

Gitanjali Subramanya

276 ×0.6

ID

163 ×0.7

EPIDE

134 ×0.8

HEPAT

94 ×0.8

MB

40 ×0.5

ASZ

Citations per year, relative to Gitanjali Subramanya Gitanjali Subramanya (= 1×) peers Paula Monteiro Perin

Countries citing papers authored by Gitanjali Subramanya

Since Specialization

Citations

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

Fields of papers citing papers by Gitanjali Subramanya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gitanjali Subramanya

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

All Works

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8 of 8 papers shown

1.

Surana, Pallavi, Susan L. Uprichard, Ma Ai Thanda Han, et al.. (2018). Pharmacokinetics and pharmacodynamics modeling of ritonavir boosted lonafarnib therapy in HDV patients: A phase 2 LOWR HDV-3 study. Journal of Hepatology. 68. S508–S508.

2.

Aunins, Thomas R., et al.. (2018). Intracellular Hepatitis C Virus Modeling Predicts Infection Dynamics and Viral Protein Mechanisms. Journal of Virology. 92(11). 21 indexed citations

3.

Koh, Christopher, Laëtitia Canini, Harel Dahari, et al.. (2015). Oral prenylation inhibition with lonafarnib in chronic hepatitis D infection: a proof-of-concept randomised, double-blind, placebo-controlled phase 2A trial. The Lancet Infectious Diseases. 15(10). 1167–1174. 187 indexed citations

4.

Lee, Hyun, Tian Ran Zhu, Yanyan Zhang, et al.. (2013). High-Throughput Screening (HTS) and Hit Validation to Identify Small Molecule Inhibitors with Activity against NS3/4A proteases from Multiple Hepatitis C Virus Genotypes. PLoS ONE. 8(10). e75144–e75144. 17 indexed citations

5.

Subramanya, Gitanjali, et al.. (2013). Antioxidant and Anti-Hepatitis C Viral Activities of Commercial Milk Thistle Food Supplements. SHILAP Revista de lepidopterología. 2(1). 23–36. 23 indexed citations

6.

Shulla, Ana, Taylor Heald‐Sargent, Gitanjali Subramanya, et al.. (2010). A Transmembrane Serine Protease Is Linked to the Severe Acute Respiratory Syndrome Coronavirus Receptor and Activates Virus Entry. Journal of Virology. 85(2). 873–882. 514 indexed citations breakdown →

7.

Karki, Roopa, Gitanjali Subramanya, & N Udupa. (2009). Formulation and evaluation of coencapsulated rifampicin and isoniazid liposomes using different lipids. 51(2). 177–188. 7 indexed citations

8.

Karki, Roopa, et al.. (2008). Preparation, characterization and tissue disposition of niosomes containing isoniazid. 1(2). 224–227. 24 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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