Roger Packer

455 total citations
8 papers, 283 citations indexed

About

Roger Packer is a scholar working on Genetics, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Roger Packer has authored 8 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Roger Packer's work include Glioma Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). Roger Packer is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). Roger Packer collaborates with scholars based in United States, Iran and Spain. Roger Packer's co-authors include Ian F. Pollack, Tina Young Poussaint, Holly Ning, Brian Weiss, Soonmee Cha, Shervin Karimpour, L. Kun, Elizabeth K. Schorry, Russell Geyer and Alexander A. Vinks and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Neuro-Oncology and Journal of Neuro-Oncology.

In The Last Decade

Roger Packer

8 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roger Packer United States	6	132	105	79	64	53	8	283
T. Khalil France	9	93 0.7×	86 0.8×	78 1.0×	54 0.8×	28 0.5×	27	345
Stephan Tippelt Germany	10	157 1.2×	88 0.8×	99 1.3×	78 1.2×	5 0.1×	29	298
Keita Terashima Japan	12	156 1.2×	95 0.9×	88 1.1×	72 1.1×	20 0.4×	39	328
Toufic Khalil France	11	124 0.9×	54 0.5×	73 0.9×	108 1.7×	6 0.1×	21	277
I. Verhagen Netherlands	7	118 0.9×	38 0.4×	50 0.6×	140 2.2×	10 0.2×	8	311
Andréa Maria Cappellano Brazil	11	235 1.8×	123 1.2×	100 1.3×	55 0.9×	28 0.5×	44	376
Shinichi Ogawa Japan	8	66 0.5×	54 0.5×	70 0.9×	42 0.7×	11 0.2×	18	221
Tabitha Cooney United States	10	211 1.6×	115 1.1×	82 1.0×	43 0.7×	4 0.1×	25	314
Christopher Pham United States	8	26 0.2×	91 0.9×	49 0.6×	38 0.6×	10 0.2×	13	274
Shengyue Huang China	9	115 0.9×	73 0.7×	63 0.8×	59 0.9×	16 0.3×	18	271

Countries citing papers authored by Roger Packer

Since Specialization

Citations

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

Fields of papers citing papers by Roger Packer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roger Packer

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

All Works

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8 of 8 papers shown

Bonner, Erin R., et al.. (2023). From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors. 3–3. 6 indexed citations

Hwang, Eugene I., Melanie Grant, Haili Lang, et al.. (2022). IMMU-19. Outcomes of Pediatric Patients with High-Risk CNS Tumors Treated with Multi-tumor associated antigen specific T cell (TAA-T) therapy: the ReMIND trial. Neuro-Oncology. 24(Supplement_1). i85–i86. 1 indexed citations

Johnson, Courtney M., Alex Felmeister, Madhuri Kambhampati, et al.. (2018). DIPG-51. BLACKFYNN: A SECURE, CLOUD-BASED PLATFORM FOR SHARING AND ANALYZING RESEARCH READY DATA FOR PEDIATRIC CNS CANCERS. Neuro-Oncology. 20(suppl_2). i59–i59. 1 indexed citations

Salloum, Ralph, Trent R. Hummel, Shiva Senthil Kumar, et al.. (2016). A molecular biology and phase II study of imetelstat (GRN163L) in children with recurrent or refractory central nervous system malignancies: a pediatric brain tumor consortium study. Journal of Neuro-Oncology. 129(3). 443–451. 80 indexed citations

Tavasoli, Ali Reza, Thaís Armangué, Cheng‐Ying Ho, et al.. (2016). Alexander Disease. Journal of Child Neurology. 32(2). 184–187. 10 indexed citations

Weiss, Brian, Brigitte C. Widemann, Pamela L. Wolters, et al.. (2013). Sirolimus for non‐progressive NF1‐associated plexiform neurofibromas: An NF clinical trials consortium phase II study. Pediatric Blood & Cancer. 61(6). 982–986. 63 indexed citations

Poussaint, Tina Young, Mehmet Koçak, Sridhar Vajapeyam, et al.. (2011). MRI as a central component of clinical trials analysis in brainstem glioma: a report from the Pediatric Brain Tumor Consortium (PBTC). Neuro-Oncology. 13(4). 417–427. 70 indexed citations

Ning, Holly, Anna Likhacheva, Karen Ullman, et al.. (2007). Craniospinal Irradiation With Spinal IMRT to Improve Target Homogeneity. International Journal of Radiation Oncology*Biology*Physics. 68(5). 1402–1409. 52 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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