Madhurima Majumder

25 total papers · 534 total citations
7 papers, 34 citations indexed

About

Madhurima Majumder is a scholar working on Statistics and Probability, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Madhurima Majumder has authored 7 papers receiving a total of 34 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Neurology. Recurrent topics in Madhurima Majumder's work include Statistical Methods in Clinical Trials (3 papers), Genetic Associations and Epidemiology (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). Madhurima Majumder is often cited by papers focused on Statistical Methods in Clinical Trials (3 papers), Genetic Associations and Epidemiology (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). Madhurima Majumder collaborates with scholars based in United States, Germany and India. Madhurima Majumder's co-authors include Veronica Miller, Satrajit Roychoudhury, John Scott, Kelley M. Kidwell, Barbara Wendelberger, Paul Monagle, Christoph Male, Ákos F. Pap, Pijush Dutta and C. Heleen van Ommen and has published in prestigious journals such as Orphanet Journal of Rare Diseases, Blood Advances and Journal of Huntington s Disease.

In The Last Decade

Madhurima Majumder

5 papers receiving 30 citations

Author Peers

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

Author Last Decade Papers Cites
Madhurima Majumder 7 7 7 6 5 7 34
Nadia Rivet 3 0.4× 5 0.7× 3 0.6× 5 31
Omar Ragy 5 0.7× 4 0.6× 5 0.8× 4 0.8× 9 31
Parsa Akbari 6 0.9× 3 0.4× 1 0.1× 2 0.3× 5 1.0× 5 25
Charles Kooperberg 13 1.9× 2 0.3× 12 1.7× 1 0.2× 10 2.0× 8 44
Annie Xie 11 1.6× 4 0.6× 2 0.3× 13 2.6× 8 51
Caterina Facchin 11 1.6× 3 0.4× 8 1.6× 6 40
Amir Shah 5 0.7× 7 1.0× 2 0.4× 7 44
Hong Li 3 0.4× 4 0.6× 2 0.4× 7 35
Filippo Marte 15 2.1× 2 0.3× 3 0.5× 2 0.4× 7 28
R Ściborski 5 0.7× 5 0.7× 4 0.8× 7 23

Countries citing papers authored by Madhurima Majumder

Since Specialization
Citations

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

Fields of papers citing papers by Madhurima Majumder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhurima Majumder

This figure shows the co-authorship network connecting the top 25 collaborators of Madhurima Majumder. A scholar is included among the top collaborators of Madhurima Majumder 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 Madhurima Majumder. Madhurima Majumder 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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2026