Merrina Anugraham

18 total papers · 895 total citations
8 papers, 660 citations indexed

About

Merrina Anugraham is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Merrina Anugraham has authored 8 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Merrina Anugraham's work include Glycosylation and Glycoproteins Research (8 papers), Galectins and Cancer Biology (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Merrina Anugraham is often cited by papers focused on Glycosylation and Glycoproteins Research (8 papers), Galectins and Cancer Biology (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Merrina Anugraham collaborates with scholars based in Switzerland, Australia and Russia. Merrina Anugraham's co-authors include Nicolle H. Packer, Jenny Chik, Jodie L. Abrahams, Ling Y. Lee, Francis Jacob, Arun Everest‐Dass, Viola Heinzelmann‐Schwarz, Sheri Nixdorf, Andreas Schoetzau and Mónica Núñez López and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and British Journal of Cancer.

In The Last Decade

Merrina Anugraham

8 papers receiving 654 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Merrina Anugraham 578 198 159 97 94 8 660
Ling Y. Lee 642 1.1× 185 0.9× 151 0.9× 92 0.9× 162 1.7× 12 740
Jenny Chik 485 0.8× 140 0.7× 108 0.7× 80 0.8× 87 0.9× 7 616
Ariadna Sarrats 492 0.9× 151 0.8× 81 0.5× 113 1.2× 111 1.2× 14 676
Tasneem H. Patwa 506 0.9× 139 0.7× 119 0.7× 120 1.2× 160 1.7× 15 614
Jayesh J. Kattla 625 1.1× 93 0.5× 168 1.1× 57 0.6× 165 1.8× 6 749
Wim P. Van Beek 588 1.0× 162 0.8× 107 0.7× 95 1.0× 28 0.3× 15 758
Minghui Ao 444 0.8× 86 0.4× 116 0.7× 66 0.7× 146 1.6× 15 610
Yi‐Hsiu Juan 568 1.0× 308 1.6× 124 0.8× 107 1.1× 33 0.4× 13 691
Bhairavi N. Vajaria 381 0.7× 169 0.9× 62 0.4× 99 1.0× 37 0.4× 12 569
Marina Kiso 411 0.7× 176 0.9× 75 0.5× 120 1.2× 17 0.2× 5 577

Countries citing papers authored by Merrina Anugraham

Since Specialization
Citations

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

Fields of papers citing papers by Merrina Anugraham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merrina Anugraham

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

All Works

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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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