Avinash Sahu

9.8k total citations · 1 hit paper
20 papers, 3.7k citations indexed

About

Avinash Sahu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Avinash Sahu has authored 20 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Immunology. Recurrent topics in Avinash Sahu's work include Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (4 papers) and Bioinformatics and Genomic Networks (3 papers). Avinash Sahu is often cited by papers focused on Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (4 papers) and Bioinformatics and Genomic Networks (3 papers). Avinash Sahu collaborates with scholars based in United States, China and Israel. Avinash Sahu's co-authors include Shengqing Gu, X. Shirley Liu, Jingxin Fu, Bo Li, Xihao Hu, Ziyi Li, Gordon J. Freeman, Jun Liu, Myles Brown and Deng Pan and has published in prestigious journals such as Nature, Nature Medicine and Nature Communications.

In The Last Decade

Avinash Sahu

19 papers receiving 3.6k citations

Hit Papers

Signatures of T cell dysfunction and exclusion predict ca... 2018 2026 2020 2023 2018 1000 2.0k 3.0k
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.

  1. Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response
    2018 3.2k citations Peng Jiang, Shengqing Gu et al. Nature Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Avinash Sahu United States 10 1.9k 1.8k 1.6k 1.3k 987 20 3.7k
Shengqing Gu United States 17 1.9k 1.0× 2.1k 1.1× 1.8k 1.1× 1.3k 1.0× 1.2k 1.2× 26 4.1k
Nabila Elarouci France 14 1.5k 0.8× 1.4k 0.7× 1.5k 0.9× 1.1k 0.9× 737 0.7× 20 3.3k
Bénédicte Buttard France 5 1.4k 0.8× 1.3k 0.7× 1.8k 1.1× 1.1k 0.8× 1.0k 1.0× 5 3.3k
Laetitia Lacroix France 8 1.5k 0.8× 1.3k 0.7× 1.9k 1.2× 1.0k 0.8× 1.1k 1.1× 14 3.4k
Samer Al‐Saad Norway 36 1.2k 0.6× 1.7k 1.0× 2.3k 1.4× 1.3k 1.0× 1.3k 1.3× 66 4.3k
Mihaela Angelova Austria 12 1.9k 1.0× 2.1k 1.1× 2.4k 1.5× 1.5k 1.1× 1.5k 1.5× 19 4.8k
David Cohen United States 16 2.2k 1.2× 2.4k 1.3× 1.6k 1.0× 1.4k 1.0× 1.0k 1.0× 28 4.5k
Tina Cascone United States 30 1.6k 0.8× 1.4k 0.7× 1.8k 1.1× 684 0.5× 331 0.3× 104 3.4k
Jean‐Christophe Pignon United States 12 1.0k 0.6× 1.2k 0.6× 1.0k 0.6× 661 0.5× 675 0.7× 21 2.3k
Zhong‐Yi Dong China 23 1.5k 0.8× 853 0.5× 2.0k 1.2× 722 0.5× 532 0.5× 73 3.0k

Countries citing papers authored by Avinash Sahu

Since Specialization
Citations

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

Fields of papers citing papers by Avinash Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avinash Sahu

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

All Works

20 of 20 papers shown
1.
Nair, Nishanth Ulhas, Alejandro A. Schäffer, E. Michael Gertz, et al.. (2024). Chromosome 7 Gain Compensates for Chromosome 10 Loss in Glioma. Cancer Research. 84(20). 3464–3477. 8 indexed citations
2.
Liu, X. Shirley, et al.. (2024). Robust identification of perturbed cell types in single-cell RNA-seq data. Nature Communications. 15(1). 7610–7610. 7 indexed citations
3.
Mamedov, Murad R., Jacob W. Freimer, Avinash Sahu, et al.. (2023). CRISPR screens decode cancer cell pathways that trigger γδ T cell detection. Nature. 621(7977). 188–195. 49 indexed citations
4.
Yang, Lin, Jennifer Altreuter, Aashna Jhaveri, et al.. (2023). Tutorial: integrative computational analysis of bulk RNA-sequencing data to characterize tumor immunity using RIMA. Nature Protocols. 18(8). 2404–2414. 12 indexed citations
5.
Mamedov, Murad R., Avinash Sahu, Mineto Ota, & Alexander Marson. (2023). CRISPR screens decode cancer cell pathways that trigger γδ T cell detection. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
6.
Sahu, Avinash & Xiaoman Wang. (2023). Discovery of targets for immune-metabolic antitumor drugs identifies Estrogen Related Receptor Alpha. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
7.
Wang, Xiaoman, Frederick S. Vizeacoumar, & Avinash Sahu. (2021). INCISOR: An Algorithm to Identify Synthetic Rescue Mediators of Resistance to Targeted and Immunotherapy. Methods in molecular biology. 2381. 203–215. 2 indexed citations
8.
Li, Ziyi, Binbin Wang, Shengqing Gu, et al.. (2020). CRISPR Screens Identify Essential Cell Growth Mediators in BRAF Inhibitor-Resistant Melanoma. Genomics Proteomics & Bioinformatics. 18(1). 26–40. 15 indexed citations
9.
Magen, Assaf, Avinash Sahu, Joo Sang Lee, et al.. (2019). Beyond Synthetic Lethality: Charting the Landscape of Pairwise Gene Expression States Associated with Survival in Cancer. Cell Reports. 28(4). 938–948.e6. 25 indexed citations
10.
Prasad, Megana, Avinash Sahu, Radhouane Aniba, et al.. (2019). Allele-specific enhancers mediate associations between LCAT and ABCA1 polymorphisms and HDL metabolism. PLoS ONE. 14(4). e0215911–e0215911. 3 indexed citations
11.
Zhang, Jian, Xihao Hu, Jin Wang, et al.. (2019). Immune receptor repertoires in pediatric and adult acute myeloid leukemia. Genome Medicine. 11(1). 73–73. 28 indexed citations
12.
Pathria, Gaurav, Joo Sang Lee, Erez Hasnis, et al.. (2019). Translational reprogramming marks adaptation to asparagine restriction in cancer. Nature Cell Biology. 21(12). 1590–1603. 68 indexed citations
13.
Jiang, Peng, Shengqing Gu, Deng Pan, et al.. (2019). Abstract B077: Signatures of T-cell dysfunction and exclusion predict cancer immunotherapy response. Cancer Immunology Research. 7(2_Supplement). B077–B077. 7 indexed citations
14.
Jiang, Peng, Shengqing Gu, Deng Pan, et al.. (2018). Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response. Nature Medicine. 24(10). 1550–1558. 3242 indexed citations breakdown →
15.
Pathria, Gaurav, David A. Scott, Yongmei Feng, et al.. (2018). Targeting the Warburg effect via LDHA inhibition engages ATF 4 signaling for cancer cell survival. The EMBO Journal. 37(20). 115 indexed citations
16.
Liu, David, Gao Zhang, Alvin Shi, et al.. (2018). Phylogenetic analysis of longitudinal melanoma samples to reveal convergent evolution and markers of immunotherapy resistance.. Journal of Clinical Oncology. 36(15_suppl). 9581–9581.
17.
Amit, Uri, David Kain, Allon Wagner, et al.. (2017). New Role for Interleukin‐13 Receptor α1 in Myocardial Homeostasis and Heart Failure. Journal of the American Heart Association. 6(5). 30 indexed citations
18.
Nair, Nishanth Ulhas, et al.. (2014). Study of cell differentiation by phylogenetic analysis using histone modification data. BMC Bioinformatics. 15(1). 269–269. 9 indexed citations
19.
Nair, Nishanth Ulhas, Avinash Sahu, Philipp Bücher, & Bernard M. E. Moret. (2012). ChIPnorm: A Statistical Method for Normalizing and Identifying Differential Regions in Histone Modification ChIP-seq Libraries. PLoS ONE. 7(8). e39573–e39573. 24 indexed citations
20.
Sahu, Avinash, Radhouane Aniba, Yen-Pei C. Chang, & Sridhar Hannenhalli. (2012). EPIGENOMIC MODEL OF CARDIAC ENHANCERS WITH APPLICATION TO GENOME WIDE ASSOCIATION STUDIES. PubMed. 92–102. 3 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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