Rehan Akbani

86.6k total citations · 1 hit paper
50 papers, 1.6k citations indexed

About

Rehan Akbani is a scholar working on Molecular Biology, Spectroscopy and Computer Networks and Communications. According to data from OpenAlex, Rehan Akbani has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 10 papers in Spectroscopy and 9 papers in Computer Networks and Communications. Recurrent topics in Rehan Akbani's work include Gene expression and cancer classification (12 papers), Bioinformatics and Genomic Networks (10 papers) and Advanced Biosensing Techniques and Applications (10 papers). Rehan Akbani is often cited by papers focused on Gene expression and cancer classification (12 papers), Bioinformatics and Genomic Networks (10 papers) and Advanced Biosensing Techniques and Applications (10 papers). Rehan Akbani collaborates with scholars based in United States, Canada and United Kingdom. Rehan Akbani's co-authors include John N. Weinstein, Gordon B. Mills, Yiling Lu, G.V.S. Raju, James Melott, Robert Brown, André Schultz, Bradley M. Broom, Anil Korkut and Thierry Soussi and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Rehan Akbani

50 papers receiving 1.6k citations

Hit Papers

Integrated Analysis of TP53 Gene and Pathway Alterations ... 2019 2026 2021 2023 2019 100 200 300 400
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. Integrated Analysis of TP53 Gene and Pathway Alterations in The Cancer Genome Atlas
    2019 421 citations Lawrence A. Donehower, Thierry Soussi et al. Cell Reports profile →

Peers

Rehan Akbani
Bradley M. Broom United States
Allison P. Heath United States
Zhen Zhang China
Ahmedur Rahman Shovon United States
Sven Bilke United States
Vinay Varadan United States
Richard A. Dean United States
Davide Prandi Italy
Éva Latulippe Canada
Thomas LaFramboise United States
Bradley M. Broom United States
Rehan Akbani
Citations per year, relative to Rehan Akbani Rehan Akbani (= 1×) peers Bradley M. Broom

Countries citing papers authored by Rehan Akbani

Since Specialization
Citations

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

Fields of papers citing papers by Rehan Akbani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rehan Akbani

This figure shows the co-authorship network connecting the top 25 collaborators of Rehan Akbani. A scholar is included among the top collaborators of Rehan Akbani 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 Rehan Akbani. Rehan Akbani 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.
Mahmud, Iqbal, Bo Wei, Lucas Veillon, et al.. (2025). Ion suppression correction and normalization for non-targeted metabolomics. Nature Communications. 16(1). 1347–1347. 5 indexed citations
2.
Liu, Wei, Jun Li, Yining Zhao, et al.. (2025). DrBioRight 2.0: an LLM-powered bioinformatics chatbot for large-scale cancer functional proteomics analysis. Nature Communications. 16(1). 2256–2256. 12 indexed citations
3.
Li, Jun, Wei Liu, Kamalika Mojumdar, et al.. (2024). A protein expression atlas on tissue samples and cell lines from cancer patients provides insights into tumor heterogeneity and dependencies. Nature Cancer. 5(10). 1579–1595. 6 indexed citations
4.
Liu, Xian-De, Yanting Zhang, Daniel J. McGrail, et al.. (2023). SETD2 Loss and ATR Inhibition Synergize to Promote cGAS Signaling and Immunotherapy Response in Renal Cell Carcinoma. Clinical Cancer Research. 29(19). 4002–4015. 8 indexed citations
5.
Mistretta, Brandon, Mitchell Rao, Kimberly R. Holloway, et al.. (2023). Chimeric RNAs reveal putative neoantigen peptides for developing tumor vaccines for breast cancer. Frontiers in Immunology. 14. 1188831–1188831. 7 indexed citations
6.
Zhou, Zhicheng, Mei-Ju May Chen, Yikai Luo, et al.. (2022). Tumor-intrinsic SIRPA promotes sensitivity to checkpoint inhibition immunotherapy in melanoma. Cancer Cell. 40(11). 1324–1340.e8. 28 indexed citations
7.
Bhattacharyya, Rupam, Min Jin Ha, Qingzhi Liu, et al.. (2020). Personalized Network Modeling of the Pan-Cancer Patient and Cell Line Interactome. JCO Clinical Cancer Informatics. 4(4). 399–411. 9 indexed citations
8.
Rader, Janet S., Amy Pan, Yiling Lu, et al.. (2019). Identification and validation of a prognostic proteomic signature for cervical cancer. Gynecologic Oncology. 155(2). 324–330. 6 indexed citations
9.
Akbani, Rehan, Shiyun Ling, & Yiling Lu. (2019). Generation of Raw RPPA Data and Their Conversion to Analysis-Ready Data. Advances in experimental medicine and biology. 1188. 165–180. 1 indexed citations
10.
Donehower, Lawrence A., Thierry Soussi, Anil Korkut, et al.. (2019). Integrated Analysis of TP53 Gene and Pathway Alterations in The Cancer Genome Atlas. Cell Reports. 28(5). 1370–1384.e5. 421 indexed citations breakdown →
11.
Siwak, Doris R., Jun Li, Rehan Akbani, Han Liang, & Yiling Lu. (2019). Analytical Platforms 3: Processing Samples via the RPPA Pipeline to Generate Large-Scale Data for Clinical Studies. Advances in experimental medicine and biology. 1188. 113–147. 12 indexed citations
12.
Ha, Min Jin, Rehan Akbani, Han Liang, et al.. (2018). Personalized Integrated Network Modeling of the Cancer Proteome Atlas. Scientific Reports. 8(1). 14924–14924. 16 indexed citations
13.
Zhao, Wei, Jun Li, Rehan Akbani, Han Liang, & Gordon B. Mills. (2018). Credentialing Individual Samples for Proteogenomic Analysis. Molecular & Cellular Proteomics. 17(8). 1515–1530. 4 indexed citations
14.
Berger, Ashton C., Anil Korkut, Rupa S. Kanchi, et al.. (2018). Abstract 3303: A comprehensive TCGA Pan-Cancer molecular study of gynecologic and breast cancers. Cancer Research. 78(13_Supplement). 3303–3303. 2 indexed citations
15.
Broom, Bradley M., Michaël Ryan, Robert Brown, et al.. (2017). A Galaxy Implementation of Next-Generation Clustered Heatmaps for Interactive Exploration of Molecular Profiling Data. Cancer Research. 77(21). e23–e26. 26 indexed citations
16.
Li, Jun, Rehan Akbani, Wei Zhao, et al.. (2017). Explore, Visualize, and Analyze Functional Cancer Proteomic Data Using the Cancer Proteome Atlas. Cancer Research. 77(21). e51–e54. 83 indexed citations
17.
Akbani, Rehan, Karl‐Friedrich Becker, Neil O. Carragher, et al.. (2014). Realizing the Promise of Reverse Phase Protein Arrays for Clinical, Translational, and Basic Research: A Workshop Report. Molecular & Cellular Proteomics. 13(7). 1625–1643. 128 indexed citations
18.
Stone, Rebecca L., Keith Baggerly, Guillermo N. Armaiz-Peña, et al.. (2014). Focal adhesion kinase. Cancer Biology & Therapy. 15(7). 919–929. 41 indexed citations
19.
Akbani, Rehan, Turgay Korkmaz, & G.V.S. Raju. (2007). HEAP: hop-by-hop efficient authentication protocol for Mobile Ad-hoc Networks. Spring Simulation Multiconference. 157–165. 6 indexed citations
20.
Akbani, Rehan, Turgay Korkmaz, & G.V.S. Raju. (2007). A packet authentication scheme for wireless sensor networks. Computers and Their Applications. 401–407. 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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