Sudhakar Sahoo

1.1k total citations
36 papers, 698 citations indexed

About

Sudhakar Sahoo is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Sudhakar Sahoo has authored 36 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Sudhakar Sahoo's work include RNA modifications and cancer (9 papers), Cellular Automata and Applications (9 papers) and Cancer Genomics and Diagnostics (6 papers). Sudhakar Sahoo is often cited by papers focused on RNA modifications and cancer (9 papers), Cellular Automata and Applications (9 papers) and Cancer Genomics and Diagnostics (6 papers). Sudhakar Sahoo collaborates with scholars based in United Kingdom, India and Italy. Sudhakar Sahoo's co-authors include Peter Magee, Matteo Fassan, Michela Garofalo, Lei Shi, Hui Sun Leong, Pabitra Pal Choudhury, Caroline Dive, Sofia Mensurado, Alessandro Laganà and Fabio M. R. Amaral and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Sudhakar Sahoo

34 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudhakar Sahoo United Kingdom 11 395 245 228 130 100 36 698
Diede Brunen Netherlands 10 485 1.2× 152 0.6× 190 0.8× 117 0.9× 69 0.7× 14 700
André Schultz United States 6 358 0.9× 205 0.8× 211 0.9× 65 0.5× 92 0.9× 12 601
Chuanwei Yang United States 15 336 0.9× 111 0.5× 171 0.8× 77 0.6× 78 0.8× 21 577
Arvind Singh Mer Canada 11 311 0.8× 196 0.8× 182 0.8× 43 0.3× 95 0.9× 24 577
David Engelmann Germany 19 780 2.0× 362 1.5× 388 1.7× 93 0.7× 104 1.0× 22 1.1k
Edward Curry United Kingdom 17 659 1.7× 244 1.0× 161 0.7× 53 0.4× 83 0.8× 31 1.1k
Russell R. Braeuer United States 13 407 1.0× 109 0.4× 197 0.9× 188 1.4× 72 0.7× 18 716
Jaine K. Blayney United Kingdom 14 502 1.3× 137 0.6× 292 1.3× 90 0.7× 76 0.8× 31 800
Christina K. Augustine United States 15 401 1.0× 93 0.4× 380 1.7× 121 0.9× 67 0.7× 22 683
F. Anthony San Lucas United States 13 371 0.9× 256 1.0× 286 1.3× 102 0.8× 145 1.4× 31 771

Countries citing papers authored by Sudhakar Sahoo

Since Specialization
Citations

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

Fields of papers citing papers by Sudhakar Sahoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudhakar Sahoo

This figure shows the co-authorship network connecting the top 25 collaborators of Sudhakar Sahoo. A scholar is included among the top collaborators of Sudhakar Sahoo 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 Sudhakar Sahoo. Sudhakar Sahoo 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.
Sellers, Robert M., Sudhakar Sahoo, Anthony Oojageer, et al.. (2025). A human model to deconvolve genotype-phenotype causations in lung squamous cell carcinoma. Nature Communications. 16(1). 3215–3215. 1 indexed citations
2.
Rostami‐Hodjegan, Amin, Zubida M. Al‐Majdoub, Ka Lai Yee, et al.. (2024). Dealing With Variable Drug Exposure Due to Variable Hepatic Metabolism: A Proof‐of‐Concept Application of Liquid Biopsy in Renal Impairment. Clinical Pharmacology & Therapeutics. 116(3). 814–823. 5 indexed citations
3.
Zhang, Wenyang, Yinan Xiao, Sudhakar Sahoo, et al.. (2023). Long non-coding RNA HIF1A-As2 and MYC form a double-positive feedback loop to promote cell proliferation and metastasis in KRAS-driven non-small cell lung cancer. Cell Death and Differentiation. 30(6). 1533–1549. 39 indexed citations
4.
Lee, Dave, Sudhakar Sahoo, Peter Hoskin, et al.. (2023). Hypoxia Is Associated with Increased Immune Infiltrates and Both Anti-Tumour and Immune Suppressive Signalling in Muscle-Invasive Bladder Cancer. International Journal of Molecular Sciences. 24(10). 8956–8956. 7 indexed citations
5.
Valpione, Sara, L Campana, John Weightman, et al.. (2022). Tumour infiltrating B cells discriminate checkpoint blockade-induced responses. European Journal of Cancer. 177. 164–174. 6 indexed citations
6.
Monteverde, Tiziana, Sudhakar Sahoo, Peter Magee, et al.. (2021). CKAP2L Promotes Non–Small Cell Lung Cancer Progression through Regulation of Transcription Elongation. Cancer Research. 81(7). 1719–1731. 17 indexed citations
7.
Shi, Lei, et al.. (2021). AMPKα loss promotes KRAS-mediated lung tumorigenesis. Cell Death and Differentiation. 28(9). 2673–2689. 19 indexed citations
8.
Shi, Lei, Peter Magee, Matteo Fassan, et al.. (2021). A KRAS-responsive long non-coding RNA controls microRNA processing. Nature Communications. 12(1). 2038–2038. 32 indexed citations
9.
Bonavita, Eduardo, Christian P. Bromley, Gustav Jonsson, et al.. (2020). Antagonistic Inflammatory Phenotypes Dictate Tumor Fate and Response to Immune Checkpoint Blockade. Immunity. 53(6). 1215–1229.e8. 157 indexed citations
10.
Mohan, Sumitra, Mahmood Ayub, Dominic G. Rothwell, et al.. (2019). Analysis of circulating cell-free DNA identifies KRAS copy number gain and mutation as a novel prognostic marker in Pancreatic cancer. Scientific Reports. 9(1). 11610–11610. 43 indexed citations
11.
Mohan, Sumitra, Victoria Foy, Mahmood Ayub, et al.. (2019). Profiling of Circulating Free DNA Using Targeted and Genome-wide Sequencing in Patients with SCLC. Journal of Thoracic Oncology. 15(2). 216–230. 57 indexed citations
12.
Magee, Peter, Sudhakar Sahoo, Hui Sun Leong, et al.. (2019). Abstract 4761: Transcriptomic overview of EML4-ALK lung cancer cells resistant to ALK inhibitors highlights a vulnerability to CDK inhibitors. Cancer Research. 79(13_Supplement). 4761–4761. 2 indexed citations
13.
Maiqués-Díaz, Alba, Gary J. Spencer, James T. Lynch, et al.. (2018). Enhancer Activation by Pharmacologic Displacement of LSD1 from GFI1 Induces Differentiation in Acute Myeloid Leukemia. Cell Reports. 22(13). 3641–3659. 137 indexed citations
14.
15.
Shi, Lei, Justin Middleton, Young-Jun Jeon, et al.. (2018). KRAS induces lung tumorigenesis through microRNAs modulation. Cell Death and Disease. 9(2). 219–219. 48 indexed citations
16.
Naidu, Srivatsava, Lei Shi, Peter Magee, et al.. (2017). PDGFR-modulated miR-23b cluster and miR-125a-5p suppress lung tumorigenesis by targeting multiple components of KRAS and NF-kB pathways. Scientific Reports. 7(1). 15441–15441. 51 indexed citations
17.
Sahoo, Sudhakar & Andreas Albrecht. (2010). Ranking of microRNA target prediction scores by Pareto front analysis. Computational Biology and Chemistry. 34(5-6). 284–292. 5 indexed citations
18.
Choudhury, Pabitra Pal, et al.. (2009). Investigation of the global dynamics of cellular automata using Boolean derivatives. Computers & Mathematics with Applications. 57(8). 1337–1351. 12 indexed citations
19.
Choudhury, Pabitra Pal, et al.. (2008). Implementation of Basic Arithmetic Operations Using Cellular Automaton. 79–80. 9 indexed citations
20.
Stamenova, Maria, Sudhakar Sahoo, Cristián G. Sánchez, Tchavdar N. Todorov, & Stefano Sanvito. (2006). Magnetomechanical interplay in spin-polarized point contacts. Physical Review B. 73(9). 1 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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