Fernanda G. Kugeratski

The University of Texas MD Anderson Cancer Center

Biochemistry, Genetics and Molecular BiologyMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 12 papers. Top paper: “B cells and tertiary lymphoid structures promote immunotherapy response”.

B cells and tertiary lymphoid structures promote immunotherapy response

Nature(2020)10.1038/s41586-019-1922-8

N/A

1.2DataRank · unranked

2719 citations

Sangeetha M. Reddy, Jianjun Gao, Shaojun Zhang, Rafet Başar, Rohit Thakur +55 more

Toxicity in the era of immune checkpoint inhibitor therapy

Frontiers in Immunology(2024)10.3389/fimmu.2024.1447021

N/A

0.619DataRank · unranked

61 citations

Naimah Turner, Fernanda G. Kugeratski, Rene Rico, Jocelynn Colunga-Minutti, Rayansh Poojary +13 more

A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes

eLife(2024)10.7554/elife.90390.3

N/A

0.396DataRank · unranked

13 citations

Fernanda G. Kugeratski, Raghu Kalluri, Bingrui Li

A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes

eLife(2023)10.7554/elife.90390

N/A

0DataRank · unranked

38 citations

Fernanda G. Kugeratski, Raghu Kalluri, Bingrui Li

Spatial regulation of the glycocalyx component podocalyxin is a switch for prometastatic function

Science Advances(2023)10.1126/sciadv.abq1858

N/A

0DataRank · unranked

11 citations

Mohammed A. Mansour, Fernanda G. Kugeratski, Jayanthi Anand, Emma Sandilands, Laura C.A. Galbraith +22 more

A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.18.549557

N/A

0DataRank · unranked

5 citations

Fernanda G. Kugeratski, Raghu Kalluri, Bingrui Li

Engineered immunomodulatory extracellular vesicles derived from epithelial cells acquire capacity for positive and negative T cell co-stimulation in cancer and autoimmunity

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.02.565371

N/A

0DataRank · unranked

3 citations

Valerie S. LeBleu, Dara P. Dowlatshahi, Hikaru Sugimoto, Kent A. Arian, Yibo Fan +8 more

A novel machine learning algorithm picks proteome signature to specifically identify cancer exosomes

(2023)10.7554/elife.90390.1

N/A

0DataRank · unranked

2 citations

Fernanda G. Kugeratski, Raghu Kalluri, Bingrui Li

Reviewer #1 (Public Review): A novel machine learning algorithm picks proteome signature to specifically identify cancer exosomes

(2023)10.7554/elife.90390.1.sa2

N/A

0DataRank · unranked

0 citations

Fernanda G. Kugeratski, Raghu Kalluri, Bingrui Li

Reviewer #1 (Public Review): A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes

(2024)10.7554/elife.90390.2.sa1

N/A

0DataRank · unranked

0 citations

Fernanda G. Kugeratski, Raghu Kalluri, Bingrui Li

Multifunctional Applications of Engineered Extracellular Vesicles in the Treatment of Cancer

Endocrinology(2021)10.1210/endocr/bqaa250

N/A

0DataRank · unranked

28 citations

Kathleen M. McAndrews, Raghu Kalluri, Fernanda G. Kugeratski

Spatial regulation of the glycocalyx component Podocalyxin is a switch for pro-metastatic function

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.04.515043

N/A

0DataRank · unranked

0 citations

Mohammed A. Mansour, Fernanda G. Kugeratski, Jayanthi Anand, Emma Sandilands, Laura C.A. Galbraith +22 more