Rifaquat Rahman

2.1k total citations
59 papers, 1000 citations indexed

About

Rifaquat Rahman is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rifaquat Rahman has authored 59 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Genetics, 21 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rifaquat Rahman's work include Glioma Diagnosis and Treatment (38 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Cancer Genomics and Diagnostics (15 papers). Rifaquat Rahman is often cited by papers focused on Glioma Diagnosis and Treatment (38 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Cancer Genomics and Diagnostics (15 papers). Rifaquat Rahman collaborates with scholars based in United States, Switzerland and United Kingdom. Rifaquat Rahman's co-authors include Patrick Y. Wen, Brian M. Alexander, David A. Reardon, Lorenzo Trippa, Raymond Y. Huang, Steffen Ventz, Geoffrey Fell, Timothy F. Cloughesy, Ken Chang and Lauren E. Abrey and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer.

In The Last Decade

Rifaquat Rahman

55 papers receiving 987 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rifaquat Rahman United States	17	562	333	243	226	178	59	1000
Shengyan Hong United States	12	329 0.6×	82 0.2×	408 1.7×	332 1.5×	146 0.8×	20	926
Meghna Samant United States	12	248 0.4×	309 0.9×	497 2.0×	764 3.4×	168 0.9×	28	1.1k
Joohee Sul United States	17	912 1.6×	238 0.7×	565 2.3×	491 2.2×	328 1.8×	26	1.7k
Vincenzo Di Nunno Italy	21	353 0.6×	118 0.4×	594 2.4×	524 2.3×	409 2.3×	103	1.4k
Lidia Gatto Italy	21	334 0.6×	103 0.3×	450 1.9×	342 1.5×	290 1.6×	83	1.2k
Chao Zhu China	14	1.5k 2.7×	108 0.3×	146 0.6×	306 1.4×	47 0.3×	50	2.2k
Reena Thomas United States	14	280 0.5×	147 0.4×	191 0.8×	229 1.0×	62 0.3×	41	713
Raquel Pérez-López Spain	17	85 0.2×	627 1.9×	617 2.5×	219 1.0×	212 1.2×	58	1.1k
Ya-Yu Tsai United States	17	357 0.6×	111 0.3×	555 2.3×	411 1.8×	125 0.7×	72	1.0k
Shyam Tanguturi United States	14	440 0.8×	238 0.7×	289 1.2×	150 0.7×	97 0.5×	42	914

Countries citing papers authored by Rifaquat Rahman

Since Specialization

Citations

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

Fields of papers citing papers by Rifaquat Rahman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rifaquat Rahman

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

All Works

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20 of 20 papers shown

Schwartz, David E., et al.. (2025). Informative censoring in externally controlled clinical trials: a potential source of bias. ESMO Open. 10(1). 104094–104094. 1 indexed citations

Rahman, Rifaquat, Matthias Preusser, Christina Tsien, et al.. (2024). Point/Counterpoint: The role of reirradiation in recurrent glioblastoma. Neuro-Oncology. 27(1). 7–12. 1 indexed citations

Rahman, Rifaquat, Diana D. Shi, Zachary J. Reitman, et al.. (2024). DNA damage response in brain tumors: A Society for Neuro-Oncology consensus review on mechanisms and translational efforts in neuro-oncology. Neuro-Oncology. 26(8). 1367–1387. 7 indexed citations

Christ, Sebastian M., Siyer Roohani, Michael Mayinger, et al.. (2024). Influence of brain metastases on the classification, treatment, and outcome of patients with extracranial oligometastasis: a single-center cross-sectional analysis. Radiation Oncology. 19(1). 148–148. 1 indexed citations

Christ, Sebastian M., Gilbert Youssef, Shyam Tanguturi, et al.. (2023). Re-irradiation of recurrent IDH-wildtype glioblastoma in the bevacizumab and immunotherapy era: Target delineation, outcomes and patterns of recurrence. Clinical and Translational Radiation Oncology. 44. 100697–100697. 5 indexed citations

Deng, Davy, Gilbert Youssef, Yu‐Hui Chen, et al.. (2023). Evaluating hematologic parameters in newly diagnosed and recurrent glioblastoma: Prognostic utility and clinical trial implications of myelosuppression. Neuro-Oncology Advances. 5(1). vdad083–vdad083. 6 indexed citations

Rahman, Rifaquat, Steffen Ventz, Robert Redd, et al.. (2023). Accessible Data Collections for Improved Decision Making in Neuro-Oncology Clinical Trials. Clinical Cancer Research. 29(12). 2194–2198. 2 indexed citations

Christ, Sebastian M., Johannes Kraft, Jonas Willmann, et al.. (2023). External validation of three prognostic scores for brain metastasis velocity in patients treated with intracranial stereotactic radiotherapy. Radiotherapy and Oncology. 189. 109917–109917.

Bredfeldt, Jeremy S., Evangelia Kaza, Martin Requardt, et al.. (2022). Patient specific distortion detection and mitigation in MR images used for stereotactic radiosurgery. Physics in Medicine and Biology. 67(6). 65009–65009. 3 indexed citations

10.

Liu, Kevin X., Chantel Cacciotti, Ayal A. Aizer, et al.. (2022). DICER1 mutations in primary central nervous system tumors: new insights into histologies, mutations, and prognosis. Journal of Neuro-Oncology. 157(3). 499–510. 2 indexed citations

11.

Bagley, Stephen, Shawn Kothari, Rifaquat Rahman, et al.. (2021). Glioblastoma Clinical Trials: Current Landscape and Opportunities for Improvement. Clinical Cancer Research. 28(4). 594–602. 104 indexed citations

12.

Fell, Geoffrey, Robert Redd, Rifaquat Rahman, et al.. (2021). KMDATA: a curated database of reconstructed individual patient-level data from 153 oncology clinical trials. Database. 2021. 3 indexed citations

13.

Ventz, Steffen, Sergio Bacallado, Rifaquat Rahman, et al.. (2021). The effects of releasing early results from ongoing clinical trials. Nature Communications. 12(1). 801–801. 6 indexed citations

14.

Rahman, Rifaquat, Steffen Ventz, Irmarie Reyes‐Rivera, et al.. (2021). Leveraging external data in the design and analysis of clinical trials in neuro-oncology. The Lancet Oncology. 22(10). e456–e465. 52 indexed citations

15.

Rahman, Rifaquat. (2021). Toward the Next Generation of High-Grade Glioma Clinical Trials in the Era of Precision Medicine. The Cancer Journal. 27(5). 410–415. 3 indexed citations

16.

Tabrizi, Shervin, Lorenzo Trippa, Daniel Cagney, et al.. (2020). A quantitative framework for modeling COVID-19 risk during adjuvant therapy using published randomized trials of glioblastoma in the elderly. Neuro-Oncology. 22(7). 918–927. 13 indexed citations

17.

Rahman, Rifaquat, Brian M. Alexander, & Patrick Y. Wen. (2020). Neurologic Complications of Cranial Radiation Therapy and Strategies to Prevent or Reduce Radiation Toxicity. Current Neurology and Neuroscience Reports. 20(8). 34–34. 19 indexed citations

18.

Rahman, Rifaquat, Geoffrey Fell, Steffen Ventz, et al.. (2019). Deviation from the Proportional Hazards Assumption in Randomized Phase 3 Clinical Trials in Oncology: Prevalence, Associated Factors, and Implications. Clinical Cancer Research. 25(21). 6339–6345. 49 indexed citations

19.

Rahman, Rifaquat, et al.. (2019). Divining responder populations from survival data. Annals of Oncology. 30(6). 1005–1013. 5 indexed citations

20.

Huang, Raymond Y., Rifaquat Rahman, Alhafidz Hamdan, et al.. (2013). Recurrent glioblastoma: Volumetric assessment and stratification of patient survival with early posttreatment magnetic resonance imaging in patients treated with bevacizumab. Cancer. 119(19). 3479–3488. 26 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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