Srinika Ranasinghe

2.0k total citations
15 papers, 1.1k citations indexed

About

Srinika Ranasinghe is a scholar working on Immunology, Virology and Molecular Biology. According to data from OpenAlex, Srinika Ranasinghe has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 12 papers in Virology and 4 papers in Molecular Biology. Recurrent topics in Srinika Ranasinghe's work include HIV Research and Treatment (12 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (5 papers). Srinika Ranasinghe is often cited by papers focused on HIV Research and Treatment (12 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (5 papers). Srinika Ranasinghe collaborates with scholars based in United States, United Kingdom and Germany. Srinika Ranasinghe's co-authors include Damien Z. Soghoian, Hendrik Streeck, Michael Flanders, Madelene Lindqvist, Isaiah Davis, Bruce D. Walker, Matthias Müller, Galit Alter, Zuzana Keckesova and Laura M. J. Ylinen and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Blood.

In The Last Decade

Srinika Ranasinghe

15 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Srinika Ranasinghe United States	12	837	777	258	190	163	15	1.1k
Natalia Kozyr United States	13	704 0.8×	813 1.0×	334 1.3×	254 1.3×	140 0.9×	16	1.1k
Alejandra Urrutia France	17	993 1.2×	947 1.2×	280 1.1×	357 1.9×	150 0.9×	20	1.4k
Michael Flanders United States	6	655 0.8×	553 0.7×	180 0.7×	135 0.7×	91 0.6×	7	828
Sunil Kannanganat United States	14	764 0.9×	373 0.5×	318 1.2×	257 1.4×	144 0.9×	21	1.1k
Eli Boritz United States	15	527 0.6×	730 0.9×	241 0.9×	350 1.8×	129 0.8×	30	991
Carolina Garrido United States	13	355 0.4×	554 0.7×	213 0.8×	289 1.5×	157 1.0×	20	770
Dominik Hotter Germany	19	568 0.7×	566 0.7×	283 1.1×	258 1.4×	355 2.2×	25	1.1k
Nadine Tibroni Germany	15	351 0.4×	616 0.8×	236 0.9×	222 1.2×	194 1.2×	17	770
Björn D. Kuhl Canada	13	460 0.5×	680 0.9×	167 0.6×	357 1.9×	192 1.2×	14	896
Annie David France	17	682 0.8×	864 1.1×	233 0.9×	482 2.5×	246 1.5×	22	1.2k

Countries citing papers authored by Srinika Ranasinghe

Since Specialization

Citations

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

Fields of papers citing papers by Srinika Ranasinghe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinika Ranasinghe

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

All Works

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15 of 15 papers shown

Tarantino, Giuseppe, Mariano Severgnini, Joanna Bagińska, et al.. (2024). Circulating cytokine associations with clinical outcomes in melanoma patients treated with combination nivolumab plus ipilimumab. OncoImmunology. 14(1). 2432723–2432723. 2 indexed citations

Penter, Livius, Jackson Southard, Shuqiang Li, et al.. (2021). Mitochondrial DNA Mutations Distinguish Individual Donor- and Recipient-Derived Immune Cells Following Matched Unrelated Allogeneic Stem Cell Transplantation. Blood. 138(Supplement 1). 1689–1689. 3 indexed citations

Penter, Livius, Yi Zhang, Alexandra Savell, et al.. (2020). Local and Systemic Effects of Immune Checkpoint Blockade on Relapsed Myeloid Malignancies Following Allogeneic Hematopoietic Stem Cell Transplantation. Blood. 136(Supplement 1). 34–35. 1 indexed citations

Ranasinghe, Srinika, Filippos Porichis, Nasreen Ismail, et al.. (2017). HIV Controllers Exhibit Enhanced Frequencies of Major Histocompatibility Complex Class II Tetramer⁺Gag-Specific CD4⁺T Cells in Chronic Clade C HIV-1 Infection. Journal of Virology. 91(7). 20 indexed citations

Ranasinghe, Srinika, Damien Z. Soghoian, Madelene Lindqvist, et al.. (2015). HIV-1 Antibody Neutralization Breadth Is Associated with Enhanced HIV-Specific CD4 ⁺ T Cell Responses. Journal of Virology. 90(5). 2208–2220. 25 indexed citations

Jessen, Heiko, Franco Pissani, Damien Z. Soghoian, et al.. (2014). Induction of Gag-Specific CD4 T Cell Responses during Acute HIV Infection Is Associated with Improved Viral Control. Journal of Virology. 88(13). 7357–7366. 33 indexed citations

Ranasinghe, Srinika, Isaiah Davis, Richard Lu, et al.. (2013). Association of HLA-DRB1–restricted CD4+ T cell responses with HIV immune control. Nature Medicine. 19(7). 930–933. 72 indexed citations

Lindqvist, Madelene, Jan van Lunzen, Damien Z. Soghoian, et al.. (2012). Expansion of HIV-specific T follicular helper cells in chronic HIV infection. Journal of Clinical Investigation. 122(9). 3271–3280. 321 indexed citations

Soghoian, Damien Z., Heiko Jessen, Michael Flanders, et al.. (2012). HIV-Specific Cytolytic CD4 T Cell Responses During Acute HIV Infection Predict Disease Outcome. Science Translational Medicine. 4(123). 123ra25–123ra25. 193 indexed citations

10.

Ranasinghe, Srinika, Michael Flanders, Damien Z. Soghoian, et al.. (2011). HIV-Specific CD4 T Cell Responses to Different Viral Proteins Have Discordant Associations with Viral Load and Clinical Outcome. Journal of Virology. 86(1). 277–283. 77 indexed citations

11.

Ranasinghe, Srinika, Holger Kramer, Cynthia Wright, et al.. (2011). The Antiviral Efficacy of HIV-Specific CD8+ T-Cells to a Conserved Epitope Is Heavily Dependent on the Infecting HIV-1 Isolate. PLoS Pathogens. 7(5). e1001341–e1001341. 22 indexed citations

12.

Chevalier, Mathieu F., Boris Jülg, Michael Flanders, et al.. (2010). HIV-1-Specific Interleukin-21 ⁺ CD4 ⁺ T Cell Responses Contribute to Durable Viral Control through the Modulation of HIV-Specific CD8 ⁺ T Cell Function. Journal of Virology. 85(2). 733–741. 157 indexed citations

13.

Ranasinghe, Srinika, Holger Kramer, Cynthia Wright, et al.. (2009). P17-28 LB. The antiviral efficacy of HIV-specific CD8+ T-cells to a conserved epitope is heavily dependent on the infecting HIV-1 isolate. Retrovirology. 6(S3). e1001341–e1001341. 18 indexed citations

14.

Yang, Hongbing, Tao Dong, Emma L. Turnbull, et al.. (2007). Broad TCR Usage in Functional HIV-1-Specific CD8+ T Cell Expansions Driven by Vaccination during Highly Active Antiretroviral Therapy. The Journal of Immunology. 179(1). 597–606. 19 indexed citations

15.

Ylinen, Laura M. J., Zuzana Keckesova, Sam J. Wilson, Srinika Ranasinghe, & Greg J. Towers. (2005). Differential Restriction of Human Immunodeficiency Virus Type 2 and Simian Immunodeficiency Virus SIVmac by TRIM5α Alleles. Journal of Virology. 79(18). 11580–11587. 122 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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