Alivelu Irrinki

2.6k total citations · 1 hit paper
14 papers, 1.7k citations indexed

About

Alivelu Irrinki is a scholar working on Virology, Immunology and Genetics. According to data from OpenAlex, Alivelu Irrinki has authored 14 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Virology, 5 papers in Immunology and 4 papers in Genetics. Recurrent topics in Alivelu Irrinki's work include HIV Research and Treatment (6 papers), Trace Elements in Health (4 papers) and Hemoglobinopathies and Related Disorders (4 papers). Alivelu Irrinki is often cited by papers focused on HIV Research and Treatment (6 papers), Trace Elements in Health (4 papers) and Hemoglobinopathies and Related Disorders (4 papers). Alivelu Irrinki collaborates with scholars based in United States. Alivelu Irrinki's co-authors include John N. Feder, Zenta Tsuchihashi, Randall C. Schatzman, Pamela J. Björkman, David M. Penny, José Antonio Lebrón, Vince K. Lee, Nicole Watson, Elliott Sigal and Caroline Enns and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

Alivelu Irrinki

14 papers receiving 1.7k 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.

The hemochromatosis gene product complexes with the transferrin receptor and lowers its affinity for ligand binding

1998 673 citations John N. Feder, David M. Penny et al. Proceedings of the National Academy of Sciences profile →

Peers

Alivelu Irrinki

HEMAT

GENET

IMMUN

VIROL

Gloria C. Preza United States

Martin Vokurka Czechia

Aaron R. Ellison United States

Claudine Mazurier France

P M Lydyard United Kingdom

Heidi Trusheim Germany

E. D. du Toit South Africa

Emilia Stellacci Italy

Mark KuKuruga United States

Ian T. Magrath United States

Gloria C. Preza United States

Alivelu Irrinki

717 ×0.7

HEMAT

564 ×0.6

GENET

442 ×0.5

111 ×0.4

IMMUN

42 ×0.2

VIROL

Citations per year, relative to Alivelu Irrinki Alivelu Irrinki (= 1×) peers Gloria C. Preza

Countries citing papers authored by Alivelu Irrinki

Since Specialization

Citations

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

Fields of papers citing papers by Alivelu Irrinki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alivelu Irrinki

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

14 of 14 papers shown

Das, Jishnu, Caitlyn Linde, Todd J. Suscovich, et al.. (2020). Mining for humoral correlates of HIV control and latent reservoir size. PLoS Pathogens. 16(10). e1008868–e1008868. 16 indexed citations

Pohlmeyer, Christopher W., Veronica D. Gonzalez, Alivelu Irrinki, et al.. (2019). Identification of NK Cell Subpopulations That Differentiate HIV-Infected Subject Cohorts with Diverse Levels of Virus Control. Journal of Virology. 93(7). 43 indexed citations

Cillo, Anthony R., Angela Tsai, Alivelu Irrinki, et al.. (2018). Blood biomarkers of expressed and inducible HIV-1. AIDS. 32(6). 699–708. 13 indexed citations

Tsai, Angela, Alivelu Irrinki, Jasmine Kaur, et al.. (2017). Toll-Like Receptor 7 Agonist GS-9620 Induces HIV Expression and HIV-Specific Immunity in Cells from HIV-Infected Individuals on Suppressive Antiretroviral Therapy. Journal of Virology. 91(8). 126 indexed citations

Schneider-Ohrum, Kirsten, Corinne Cayatte, Yi Liu, et al.. (2016). Production of Cytomegalovirus Dense Bodies by Scalable Bioprocess Methods Maintains Immunogenicity and Improves Neutralizing Antibody Titers. Journal of Virology. 90(22). 10133–10144. 12 indexed citations

Bam, Rujuta A., Derek Hansen, Alivelu Irrinki, et al.. (2016). TLR7 Agonist GS-9620 Is a Potent Inhibitor of Acute HIV-1 Infection in Human Peripheral Blood Mononuclear Cells. Antimicrobial Agents and Chemotherapy. 61(1). 49 indexed citations

Sloan, Derek D., Chia‐Ying K. Lam, Alivelu Irrinki, et al.. (2015). Targeting HIV Reservoir in Infected CD4 T Cells by Dual-Affinity Re-targeting Molecules (DARTs) that Bind HIV Envelope and Recruit Cytotoxic T Cells. PLoS Pathogens. 11(11). e1005233–e1005233. 81 indexed citations

Cillo, Anthony R., Feiyu Hong, Angela Tsai, et al.. (2015). Cellular HIV RNA/DNA as biomarkers of inducible virion production. Journal of Virus Eradication. 1. 3–3. 2 indexed citations

Sloan, Derek D., Alivelu Irrinki, Angela Tsai, et al.. (2015). Targeting HIV reservoir by DART molecules that recruit T cells to HIV Env expressing cells: comparison of HIV arms derived from broadly reactive neutralizing or non-neutralizing anti-Env antibodies. Journal of Virus Eradication. 1. 14–14. 1 indexed citations

10.

Cayatte, Corinne, Kirsten Schneider-Ohrum, Alivelu Irrinki, et al.. (2013). Cytomegalovirus Vaccine Strain Towne-Derived Dense Bodies Induce Broad Cellular Immune Responses and Neutralizing Antibodies That Prevent Infection of Fibroblasts and Epithelial Cells. Journal of Virology. 87(20). 11107–11120. 43 indexed citations

11.

Irrinki, Alivelu, et al.. (1998). Co-trafficking of HFE, a Nonclassical Major Histocompatibility Complex Class I Protein, with the Transferrin Receptor Implies a Role in Intracellular Iron Regulation. Journal of Biological Chemistry. 273(34). 22068–22074. 195 indexed citations

12.

Feder, John N., David M. Penny, Alivelu Irrinki, et al.. (1998). The hemochromatosis gene product complexes with the transferrin receptor and lowers its affinity for ligand binding. Proceedings of the National Academy of Sciences. 95(4). 1472–1477. 673 indexed citations breakdown →

13.

Ruddy, David A., Vince Lee, Gabriel A. Mintier, et al.. (1997). A 1.1-Mb Transcript Map of the Hereditary Hemochromatosis Locus. Genome Research. 7(5). 441–456. 71 indexed citations

14.

Feder, John N., Zenta Tsuchihashi, Alivelu Irrinki, et al.. (1997). The Hemochromatosis Founder Mutation in HLA-H Disrupts β2-Microglobulin Interaction and Cell Surface Expression. Journal of Biological Chemistry. 272(22). 14025–14028. 397 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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