Mallika Ramakrishnan

18 total papers · 409 total citations
8 papers, 293 citations indexed

About

Mallika Ramakrishnan is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Mallika Ramakrishnan has authored 8 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Mallika Ramakrishnan's work include Immune Cell Function and Interaction (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Immunotherapy and Immune Responses (2 papers). Mallika Ramakrishnan is often cited by papers focused on Immune Cell Function and Interaction (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Immunotherapy and Immune Responses (2 papers). Mallika Ramakrishnan collaborates with scholars based in Germany, United States and India. Mallika Ramakrishnan's co-authors include Asok Mukhopadhyay, Sandeep Mathur, Florian R. Greten, Lalit Kumar, Umesh Kumar, Tiago De Oliveira, Veena Kochat, J. R. P. Gupta, Vikash Kumar and Surender K. Sharawat and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Mallika Ramakrishnan

8 papers receiving 291 citations

Author Peers

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

Author Last Decade Papers Cites
Mallika Ramakrishnan 134 132 79 78 53 8 293
Li-Huan Zhou 106 0.8× 193 1.5× 116 1.5× 73 0.9× 51 1.0× 8 350
Daniel Otero-Albiol 146 1.1× 212 1.6× 33 0.4× 99 1.3× 63 1.2× 13 355
Benjamin Bian 149 1.1× 133 1.0× 60 0.8× 77 1.0× 18 0.3× 6 295
Sandra Valle 180 1.3× 196 1.5× 86 1.1× 108 1.4× 48 0.9× 9 337
Natalia Trempolec 73 0.5× 183 1.4× 70 0.9× 63 0.8× 48 0.9× 8 359
Srikanth Kodali 81 0.6× 139 1.1× 123 1.6× 49 0.6× 69 1.3× 10 305
Naishitha Anaparthy 137 1.0× 167 1.3× 76 1.0× 83 1.1× 35 0.7× 6 317
Brad E. Windle 206 1.5× 213 1.6× 49 0.6× 82 1.1× 62 1.2× 12 348
Tanya Schild 96 0.7× 188 1.4× 38 0.5× 145 1.9× 19 0.4× 9 304
Jeffrey J. Ackroyd 98 0.7× 170 1.3× 43 0.5× 72 0.9× 20 0.4× 12 265

Countries citing papers authored by Mallika Ramakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Mallika Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mallika Ramakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Mallika Ramakrishnan. A scholar is included among the top collaborators of Mallika Ramakrishnan 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 Mallika Ramakrishnan. Mallika Ramakrishnan 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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