Sanna Madan

1.1k total citations · 1 hit paper
8 papers, 560 citations indexed

About

Sanna Madan is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sanna Madan has authored 8 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Immunology. Recurrent topics in Sanna Madan's work include CAR-T cell therapy research (3 papers), Bioinformatics and Genomic Networks (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Sanna Madan is often cited by papers focused on CAR-T cell therapy research (3 papers), Bioinformatics and Genomic Networks (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Sanna Madan collaborates with scholars based in United States and Israel. Sanna Madan's co-authors include Eytan Ruppin, Noam Auslander, Zhi Wei, Dennie T. Frederick, Ryan J. Sullivan, Meenhard Herlyn, Joo Sang Lee, Gao Zhang, Benchun Miao and Tian Tian and has published in prestigious journals such as Nature Medicine, Bioinformatics and PLoS Computational Biology.

In The Last Decade

Sanna Madan

8 papers receiving 559 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma

2018 456 citations Noam Auslander, Gao Zhang et al. Nature Medicine profile →

Peers

Countries citing papers authored by Sanna Madan

Since Specialization

Citations

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

Fields of papers citing papers by Sanna Madan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanna Madan

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

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	A comprehensive analysis of adverse events in the first 30 days of phase 1 pediatric CAR T-cell trials 2023 ·Blood Advances ·Sara Silbert, Sanna Madan, (unknown), Seth M. Steinberg, Lauren Little, Toni Foley, Monica Epstein, (unknown), Daniel W. Lee, (unknown), (unknown), Eytan Ruppin, Haneen Shalabi, Bonnie Yates, Nirali N. Shah	2
2	Pan-Cancer Analysis of Patient Tumor Single-Cell Transcriptomes Identifies Promising Selective and Safe Chimeric Antigen Receptor Targets in Head and Neck Cancer 2023 ·Cancers ·Sanna Madan, Sanju Sinha, Tiangen Chang, J. Silvio Gutkind, Ezra E.W. Cohen, Alejandro A. Schäffer, Eytan Ruppin	2
3	Using a Recently Approved Tumor Mutational Burden Biomarker to Stratify Patients for Immunotherapy May Introduce a Sex Bias 2021 ·JCO Precision Oncology ·(unknown), Sanju Sinha, Kuoyuan Cheng, Sanna Madan, Ayelet Erez, Bríd M. Ryan, Alejandro A. Schäffer, Kenneth Aldape, Eytan Ruppin	3
4	Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma breakdown → 2018 ·Nature Medicine ·Noam Auslander, Gao Zhang, Joo Sang Lee, Dennie T. Frederick, Benchun Miao, Tabea Moll, Tian Tian, Zhi Wei, Sanna Madan, Ryan J. Sullivan, Genevieve M. Boland, Keith T. Flaherty, Meenhard Herlyn, Eytan Ruppin	456
5	CAPN1 is a novel binding partner and regulator of the tumor suppressor NF1 in melanoma 2018 ·Oncotarget ·Michal Alon, Rand Arafeh, (unknown), Sanna Madan, Shelly Kalaora, Adi Nagler, (unknown), Polina Greenberg, Eytan Ruppin, Yardena Samuels	11
6	BeWith: A Between-Within Method for Module Discovery in Cancer using Integrated Analysis of Mutual Exclusivity, Co-occurrence and Functional Interactions (Extended Abstract). 2017 ·Phuong Dao, Yoo-Ah Kim, Sanna Madan, Roded Sharan, Teresa M. Przytycka	1
7	BeWith: A Between-Within method to discover relationships between cancer modules via integrated analysis of mutual exclusivity, co-occurrence and functional interactions 2017 ·PLoS Computational Biology ·Phuong Dao, Yoo-Ah Kim, Damian Wójtowicz, Sanna Madan, Roded Sharan, Teresa M. Przytycka	28
8	WeSME: uncovering mutual exclusivity of cancer drivers and beyond 2016 ·Bioinformatics ·Yoo-Ah Kim, Sanna Madan, Teresa M. Przytycka	57

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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