Maya Madhavan

499 total citations
19 papers, 207 citations indexed

About

Maya Madhavan is a scholar working on Molecular Biology, Infectious Diseases and Oncology. According to data from OpenAlex, Maya Madhavan has authored 19 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Infectious Diseases and 4 papers in Oncology. Recurrent topics in Maya Madhavan's work include SARS-CoV-2 and COVID-19 Research (3 papers), vaccines and immunoinformatics approaches (3 papers) and Viral Infections and Outbreaks Research (2 papers). Maya Madhavan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), vaccines and immunoinformatics approaches (3 papers) and Viral Infections and Outbreaks Research (2 papers). Maya Madhavan collaborates with scholars based in India, United States and Saudi Arabia. Maya Madhavan's co-authors include Prabha Balaram, Priya Srinivas, Iqbal Ike K. Ahmed, Aleyamma Mathew, Elizabeth Abraham, Vinoy Thomas, James M. Donahue, Seeram Ramakrishna, Mina Zare and Claudia Fischbach and has published in prestigious journals such as Neurology, Biochimica et Biophysica Acta (BBA) - General Subjects and Modern Pathology.

In The Last Decade

Maya Madhavan

18 papers receiving 202 citations

Peers

Maya Madhavan
Comparison fields: 5 of 65
  • Molecular Biology 82
  • Oncology 53
  • Cancer Research 47
  • Biomedical Engineering 28
  • Immunology and Allergy 25
Replace Heli Salminen‐Mankonen with:
Heli Salminen‐Mankonen Finland
Lukas M. Altenburger Austria
Renee T. Zhao United States
Landis R. Walsh United States
Tian‐Yun Ning China
Jianhu Li China
Changye Sun China
Prachi Jain India
Heli Salminen‐Mankonen Finland View profile →
Citations per field, relative to Maya Madhavan
Maya Madhavan · 1×
Citations per year, relative to Maya Madhavan
Maya Madhavan · 1×

Countries citing papers authored by Maya Madhavan

Since Specialization
Citations

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

Fields of papers citing papers by Maya Madhavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Madhavan

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 5
2 0
3 17
4 7
5 3
6 7
7 2
8 40
9 4
10 2
11 3
12 7
13 5
14 35
15 21
16
Nm23H1 and p53 proteins are differentially correlated to metastasis in breast carcinoma.
1
17
Apoptotic index: use in predicting recurrence in breast cancer patients.
6
18 41
19
Endometrial mast cells in loop menorrhagia.
1

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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