Aravind Tallam

1.5k total citations · 1 hit paper
7 papers, 1.0k citations indexed

About

Aravind Tallam is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Aravind Tallam has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Epidemiology. Recurrent topics in Aravind Tallam's work include Influenza Virus Research Studies (2 papers), Immune cells in cancer (2 papers) and RNA modifications and cancer (1 paper). Aravind Tallam is often cited by papers focused on Influenza Virus Research Studies (2 papers), Immune cells in cancer (2 papers) and RNA modifications and cancer (1 paper). Aravind Tallam collaborates with scholars based in Germany, Luxembourg and Egypt. Aravind Tallam's co-authors include Rudi Balling, Alessandro Michelucci, Jenny Ghelfi, Tina M. Binz, Carole L. Linster, Thekla Cordes, Karsten Hiller, Manuel Buttini, Oliver Goldmann and Eva Medina and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Frontiers in Microbiology.

In The Last Decade

Aravind Tallam

7 papers receiving 1.0k 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.

Immune-responsive gene 1 protein links metabolism to immunity by catalyzing itaconic acid production

2013 857 citations Alessandro Michelucci, Thekla Cordes et al. Proceedings of the National Academy of Sciences profile →

Peers

Aravind Tallam

MB

IMMUN

EPIDE

ID

CR

Arnaud Pailot France

Thomas Holowka United States

Koji Ohashi Japan

Dale R. Balce Canada

Laurence Martin France

Michael G. Dorrington Canada

Laure Perrin‐Cocon France

Yasunori Saitoh Japan

Maritza Jaramillo Canada

Arnaud Pailot France

Aravind Tallam

479 ×0.9

MB

446 ×0.9

IMMUN

137 ×0.7

EPIDE

89 ×0.7

ID

89 ×0.8

CR

Citations per year, relative to Aravind Tallam Aravind Tallam (= 1×) peers Arnaud Pailot

Countries citing papers authored by Aravind Tallam

Since Specialization

Citations

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

Fields of papers citing papers by Aravind Tallam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aravind Tallam

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

All Works

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7 of 7 papers shown

1.

Ribeiro‐Alves, Marcelo, Verónica Durán, Mohamed Samir, et al.. (2019). Reprogramming of Small Noncoding RNA Populations in Peripheral Blood Reveals Host Biomarkers for Latent and Active Mycobacterium tuberculosis Infection. mBio. 10(6). 36 indexed citations

2.

Loof, Torsten G., Aaqib Sohail, Mahmoud Mohamed Bahgat, et al.. (2018). Early Lymphocyte Loss and Increased Granulocyte/Lymphocyte Ratio Predict Systemic Spread of Streptococcus pyogenes in a Mouse Model of Acute Skin Infection. Frontiers in Cellular and Infection Microbiology. 8. 101–101. 7 indexed citations

3.

Mostafa, Ahmed, Mohamed A. Tantawy, Donata Hoffmann, et al.. (2018). NS Segment of a 1918 Influenza A Virus-Descendent Enhances Replication of H1N1pdm09 and Virus-Induced Cellular Immune Response in Mammalian and Avian Systems. Frontiers in Microbiology. 9. 526–526. 31 indexed citations

4.

Aulicino, Francesco, Gökhan Ertaylan, Aniello Cerrato, et al.. (2017). Wnt/Tcf1 pathway restricts embryonic stem cell cycle through activation of the Ink4/Arf locus. PLoS Genetics. 13(3). e1006682–e1006682. 37 indexed citations

5.

Akmatov, Manas K., Peggy Riese, Marcus May, et al.. (2017). Establishment of a cohort for deep phenotyping of the immune response to influenza vaccination among elderly individuals recruited from the general population. Human Vaccines & Immunotherapeutics. 13(7). 1630–1639. 6 indexed citations

6.

Tallam, Aravind, Thanneer M. Perumal, Paul Antony, et al.. (2016). Gene Regulatory Network Inference of Immunoresponsive Gene 1 (IRG1) Identifies Interferon Regulatory Factor 1 (IRF1) as Its Transcriptional Regulator in Mammalian Macrophages. PLoS ONE. 11(2). e0149050–e0149050. 68 indexed citations

7.

Michelucci, Alessandro, Thekla Cordes, Jenny Ghelfi, et al.. (2013). Immune-responsive gene 1 protein links metabolism to immunity by catalyzing itaconic acid production. Proceedings of the National Academy of Sciences. 110(19). 7820–7825. 857 indexed citations breakdown →

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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