Padhma Radhakrishnan

424 total citations
6 papers, 42 citations indexed

About

Padhma Radhakrishnan is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Padhma Radhakrishnan has authored 6 papers receiving a total of 42 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Padhma Radhakrishnan's work include Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and PAPR reduction in OFDM (1 paper). Padhma Radhakrishnan is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and PAPR reduction in OFDM (1 paper). Padhma Radhakrishnan collaborates with scholars based in India, Thailand and United States. Padhma Radhakrishnan's co-authors include Muthu Dhandapani, Biswanath Majumder, Saravanan Thiyagarajan, Farrah Zahed, Adeela Kamal, Pradip K. Majumder, Vikram D. Kekatpure, Allen Thayakumar, Padmaparna Chaudhuri and Priyanka Chevour and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

Padhma Radhakrishnan

6 papers receiving 41 citations

Peers

Padhma Radhakrishnan

ONCOL

MB

CR

PRM

CB

Angela Schwarz‐Cruz y Celis Mexico

Joseph M. Gurski United States

Aashreya Ravichandra Germany

Catarina Salgado Netherlands

Marcel Buchholzer Germany

Maryam Pourmaleki United States

Houjie Liang China

M Bader Germany

Charlotte Eaton United States

Sireesha Yalavarthi United States

Angela Schwarz‐Cruz y Celis Mexico

Padhma Radhakrishnan

25 ×1.1

ONCOL

29 ×1.3

MB

21 ×1.9

CR

3 ×0.6

PRM

3 ×0.8

CB

Citations per year, relative to Padhma Radhakrishnan Padhma Radhakrishnan (= 1×) peers Angela Schwarz‐Cruz y Celis

Countries citing papers authored by Padhma Radhakrishnan

Since Specialization

Citations

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

Fields of papers citing papers by Padhma Radhakrishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padhma Radhakrishnan

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

All Works

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6 of 6 papers shown

1.

Кумар, Арун, K. Chandrashekhara, Padhma Radhakrishnan, & Aziz Nanthaamornphong. (2025). Efficient hybrid signal detection for optical NOMA with 512-QAM in visible light communication. Journal of Optical Communications. 1 indexed citations

2.

Babu, Govind, Padmaparna Chaudhuri, Aneesha Radhakrishnan, et al.. (2020). JAK-STAT inhibitor as a potential therapeutic opportunity in AML patients resistant to cytarabine and epigenetic therapy. Cancer Biology & Therapy. 22(1). 66–78. 4 indexed citations

3.

Radhakrishnan, Padhma, et al.. (2017). Predicting tumor-immune response to checkpoint inhibitors using a novel patient-derived live tumor explant model.. Journal of Clinical Oncology. 35(15_suppl). e20035–e20035. 1 indexed citations

4.

Dhandapani, Muthu, et al.. (2017). Rationally co-targeting divergent pathways in KRAS wild-type colorectal cancers by CANscript technology reveals tumor dependence on Notch and Erbb2. Scientific Reports. 7(1). 1502–1502. 19 indexed citations

5.

Radhakrishnan, Padhma, Vasanthakumar Sekar, Priyanka Chevour, et al.. (2017). Abstract 3681: A patient derived ex vivo platform CANScript™ predicts distinct therapeutic outcomes to multiple PD-1 checkpoint inhibitors in single tumor biopsies. Cancer Research. 77(13_Supplement). 3681–3681. 3 indexed citations

6.

Radhakrishnan, Padhma, Muthu Dhandapani, Saravanan Thiyagarajan, et al.. (2013). Inhibition of Rapamycin-Induced AKT Activation Elicits Differential Antitumor Response in Head and Neck Cancers. Cancer Research. 73(3). 1118–1127. 14 indexed citations

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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